MCP directory metadata, resources/prompts handlers, full param descriptions (#260)
This commit is contained in:
Ben Senescu
GitHub
parent
0525513b0c
commit
e41b52ca56
@ -38,22 +38,53 @@ const marketSchema = z
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.object({
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country: z
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.enum(["US", "USA", "United States", "United States of America"])
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.optional(),
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.optional()
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.describe("Country selector. Only the United States is supported."),
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})
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.optional()
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.describe("Optional United States market object. Defaults to United States.");
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const nearSchema = z.object({
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latitude: z.number().min(-90).max(90),
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longitude: z.number().min(-180).max(180),
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radiusKm: z.number().min(1).max(100000),
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});
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const nearSchema = z
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.object({
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latitude: z
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.number()
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.min(-90)
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.max(90)
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.describe("Latitude of the search center."),
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longitude: z
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.number()
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.min(-180)
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.max(180)
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.describe("Longitude of the search center."),
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radiusKm: z
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.number()
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.min(1)
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.max(100000)
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.describe("Search radius around the center, in kilometers."),
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})
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.describe("Coordinate and radius to search around.");
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const localSerpNearSchema = z.object({
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latitude: z.number().min(-90).max(90),
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longitude: z.number().min(-180).max(180),
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zoom: z.number().int().min(4).max(18).optional(),
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});
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const localSerpNearSchema = z
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.object({
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latitude: z
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.number()
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.min(-90)
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.max(90)
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.describe("Latitude the SERP is fetched from."),
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longitude: z
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.number()
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.min(-180)
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.max(180)
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.describe("Longitude the SERP is fetched from."),
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zoom: z
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.number()
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.int()
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.min(4)
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.max(18)
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.optional()
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.describe("Map zoom level (4-18). Higher zoom narrows the local area."),
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})
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.describe("Coordinate (and optional map zoom) the SERP is fetched from.");
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const domainTargetSchema = z
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.string()
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@ -80,64 +111,176 @@ const rankedTargetSchema = z
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const getRankedKeywordsInputSchema = {
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projectId: projectIdSchema,
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target: rankedTargetSchema,
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target: rankedTargetSchema.describe(
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"Domain (no protocol/www) or absolute page URL to list ranked keywords for.",
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),
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market: marketSchema,
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resultTypes: z.array(rankedResultTypeSchema).min(1).max(5).optional(),
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includeSubdomains: z.boolean().optional(),
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minSearchVolume: z.number().int().min(0).optional(),
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maxRank: z.number().int().min(1).max(100).optional(),
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resultTypes: z
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.array(rankedResultTypeSchema)
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.min(1)
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.max(5)
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.optional()
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.describe("SERP result types to include. Defaults to organic and paid."),
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includeSubdomains: z
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.boolean()
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.optional()
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.describe(
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"Include subdomains of the target. Defaults to true for domains, false for page URLs.",
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),
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minSearchVolume: z
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.number()
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.int()
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.min(0)
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.optional()
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.describe("Only return keywords with at least this monthly search volume."),
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maxRank: z
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.number()
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.int()
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.min(1)
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.max(100)
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.optional()
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.describe("Only return keywords ranking at this position or better."),
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excludeBrandTerms: z
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.array(z.string().min(1).max(80))
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.min(1)
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.max(10)
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.optional(),
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.optional()
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.describe("Exclude keywords containing any of these brand terms."),
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sortBy: z
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.enum(["rank", "search_volume", "traffic_estimate", "cpc"])
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.optional(),
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limit: z.number().int().min(1).max(100).optional(),
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offset: z.number().int().min(0).max(1000).optional(),
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.optional()
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.describe("Sort order for returned rows. Defaults to search_volume."),
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limit: z
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.number()
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.int()
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.min(1)
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.max(100)
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.optional()
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.describe("Maximum rows to return (1-100). Defaults to 50."),
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offset: z
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.number()
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.int()
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.min(0)
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.max(1000)
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.optional()
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.describe("Rows to skip for pagination."),
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} as const;
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const searchLocalBusinessesInputSchema = {
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projectId: projectIdSchema,
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query: z.string().min(1).max(200).optional(),
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query: z
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.string()
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.min(1)
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.max(200)
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.optional()
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.describe("Business name or title text to match."),
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near: nearSchema,
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categories: z.array(z.string().min(1).max(120)).min(1).max(10).optional(),
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limit: z.number().int().min(1).max(50).optional(),
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categories: z
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.array(z.string().min(1).max(120))
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.min(1)
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.max(10)
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.optional()
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.describe("Business categories to filter by (e.g. 'pizza_restaurant')."),
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limit: z
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.number()
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.int()
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.min(1)
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.max(50)
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.optional()
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.describe("Maximum businesses to return (1-50). Defaults to 20."),
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} as const;
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const localSearchTypeSchema = z.enum(["maps", "local_finder"]);
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const getLocalSerpResultsInputSchema = {
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projectId: projectIdSchema,
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keyword: z.string().min(1).max(120),
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keyword: z
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.string()
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.min(1)
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.max(120)
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.describe("Search query to run on Google Maps or Local Finder."),
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near: localSerpNearSchema,
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searchType: localSearchTypeSchema.optional(),
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device: z.enum(["desktop", "mobile"]).optional(),
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depth: z.number().int().min(1).max(100).optional(),
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searchType: localSearchTypeSchema
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.optional()
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.describe("Which local SERP to fetch. Defaults to maps."),
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device: z
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.enum(["desktop", "mobile"])
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.optional()
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.describe("Device the SERP is rendered for. Defaults to desktop."),
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depth: z
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.number()
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.int()
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.min(1)
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.max(100)
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.optional()
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.describe("Number of results to fetch (1-100). Defaults to 20."),
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languageCode: languageCodeSchema.optional(),
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} as const;
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const getGoogleBusinessQuestionsInputSchema = {
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projectId: projectIdSchema,
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keyword: z.string().min(1).max(200),
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keyword: z
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.string()
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.min(1)
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.max(200)
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.describe(
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"Business name or search phrase identifying the Google Business Profile.",
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),
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near: nearSchema,
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depth: z.number().int().min(1).max(100).optional(),
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depth: z
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.number()
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.int()
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.min(1)
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.max(100)
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.optional()
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.describe("Maximum Q&A rows to fetch (1-100). Defaults to 20."),
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languageCode: languageCodeSchema.optional(),
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} as const;
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const findSerpCompetitorsInputSchema = {
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projectId: projectIdSchema,
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keywords: z.array(z.string().min(1).max(120)).min(1).max(100),
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keywords: z
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.array(z.string().min(1).max(120))
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.min(1)
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.max(100)
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.describe("Keywords whose SERPs are compared (1-100)."),
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market: marketSchema,
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resultTypes: z.array(serpCompetitorResultTypeSchema).min(1).max(4).optional(),
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excludeDomains: z.array(domainTargetSchema).min(1).max(50).optional(),
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includeSubdomains: z.boolean().optional(),
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resultTypes: z
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.array(serpCompetitorResultTypeSchema)
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.min(1)
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.max(4)
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.optional()
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.describe(
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"SERP result types to include. Defaults to organic and local_pack.",
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),
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excludeDomains: z
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.array(domainTargetSchema)
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.min(1)
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.max(50)
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.optional()
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.describe("Domains to exclude from results (e.g. the user's own site)."),
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includeSubdomains: z
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.boolean()
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.optional()
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.describe("Count subdomains as part of the same competitor domain."),
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sortBy: z
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.enum(["visibility", "traffic_estimate", "avg_position", "keyword_count"])
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.optional(),
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limit: z.number().int().min(1).max(100).optional(),
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offset: z.number().int().min(0).max(1000).optional(),
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.optional()
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.describe("Sort order for returned competitors. Defaults to visibility."),
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limit: z
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.number()
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.int()
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.min(1)
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.max(100)
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.optional()
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.describe("Maximum competitors to return (1-100). Defaults to 50."),
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offset: z
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.number()
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.int()
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.min(0)
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.max(1000)
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.optional()
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.describe("Rows to skip for pagination."),
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} as const;
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const keywordMetricsSortSchema = z.enum([
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@ -149,11 +292,20 @@ const keywordMetricsSortSchema = z.enum([
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const getKeywordMetricsInputSchema = {
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projectId: projectIdSchema,
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keywords: z.array(z.string().min(1).max(80)).min(1).max(700),
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keywords: z
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.array(z.string().min(1).max(80))
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.min(1)
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.max(700)
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.describe("Keywords to fetch metrics for (1-700)."),
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locationCode: locationCodeSchema.optional(),
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languageCode: languageCodeSchema.optional(),
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includeMonthlyTrends: z.boolean().optional(),
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sortBy: keywordMetricsSortSchema.optional(),
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includeMonthlyTrends: z
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.boolean()
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.optional()
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.describe("Include monthly search-volume trend rows. Defaults to true."),
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sortBy: keywordMetricsSortSchema
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.optional()
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.describe("Sort order for returned rows. Defaults to search_volume."),
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} as const;
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type Market = z.infer<typeof marketSchema>;
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@ -346,7 +498,7 @@ export const getRankedKeywordsTool = {
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config: {
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title: "Get ranked keywords",
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description:
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"Returns exact keyword, URL, rank, search volume, CPC, intent, and traffic rows for a domain or page. Use this for strategy evidence; use get_domain_overview for aggregate domain footprint. Charges DataForSEO Labs credits.",
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"Returns exact keyword, URL, rank, search volume, CPC, intent, and traffic rows for a domain or page. Use this for strategy evidence; use get_domain_overview for aggregate domain footprint. Charges credits.",
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inputSchema: getRankedKeywordsInputSchema,
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outputSchema: {
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keywords: z.array(looseObjectOutputSchema),
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@ -405,7 +557,7 @@ export const searchLocalBusinessesTool = {
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config: {
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title: "Search local businesses",
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description:
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"Searches DataForSEO Business Listings near a coordinate. Use this to find local business candidates or nearby competitors; it does not run Maps rank checks or Q&A. Charges DataForSEO Business Data credits.",
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"Searches local business listings near a coordinate. Use this to find local business candidates or nearby competitors; it does not run Maps rank checks or Q&A. Charges credits.",
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inputSchema: searchLocalBusinessesInputSchema,
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outputSchema: {
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businesses: z.array(looseObjectOutputSchema),
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@ -441,7 +593,7 @@ export const getLocalSerpResultsTool = {
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config: {
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title: "Get local SERP results",
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description:
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"Fetches one Google Maps or Local Finder SERP near a coordinate. Returns provider rows with rank fields intact; callers decide how to match a target business. Charges DataForSEO SERP credits.",
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"Fetches one Google Maps or Local Finder SERP near a coordinate. Returns provider rows with rank fields intact; callers decide how to match a target business. Charges credits.",
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inputSchema: getLocalSerpResultsInputSchema,
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outputSchema: {
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results: z.array(looseObjectOutputSchema),
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@ -480,7 +632,7 @@ export const getGoogleBusinessQuestionsTool = {
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config: {
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title: "Get Google business questions",
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description:
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"Fetches Google Business Profile questions and answers for one business keyword near a coordinate. Run this only when Q&A evidence is needed. Charges DataForSEO Business Data credits.",
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"Fetches Google Business Profile questions and answers for one business keyword near a coordinate. Run this only when Q&A evidence is needed. Charges credits.",
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inputSchema: getGoogleBusinessQuestionsInputSchema,
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outputSchema: {
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questions: z.array(looseObjectOutputSchema),
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@ -516,7 +668,7 @@ export const findSerpCompetitorsTool = {
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config: {
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title: "Find SERP competitors",
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description:
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"Compares domains competing for a supplied keyword set using DataForSEO Labs SERP Competitors. Useful for market and search-intelligence reports; not radius-based local SEO. Charges DataForSEO Labs credits.",
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"Compares domains competing in Google results for a supplied keyword set. Useful for market and search-intelligence reports; not radius-based local SEO. Charges credits.",
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inputSchema: findSerpCompetitorsInputSchema,
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outputSchema: {
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competitors: z.array(looseObjectOutputSchema),
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@ -570,7 +722,7 @@ export const getKeywordMetricsTool = {
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config: {
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title: "Get keyword metrics",
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description:
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"Hydrate up to 700 known keywords with search volume, keyword difficulty (KD), search intent, CPC, competition, and monthly trends in a single call. Use it to score candidate or known keywords — including Search Console striking-distance queries — by real demand and ranking difficulty. Charges DataForSEO Labs credits.",
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"Hydrate up to 700 known keywords with search volume, keyword difficulty (KD), search intent, CPC, competition, and monthly trends in a single call. Use it to score candidate or known keywords — including Search Console striking-distance queries — by real demand and ranking difficulty. Charges credits.",
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inputSchema: getKeywordMetricsInputSchema,
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outputSchema: {
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keywords: z.array(looseObjectOutputSchema),
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@ -40,7 +40,7 @@ export const getBacklinksOverviewTool = {
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config: {
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title: "Get backlinks overview",
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description:
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"Returns a backlinks profile summary (total backlinks, referring domains, top referring domains). Charges credits (~200-500 typical). Requires that the user's DataForSEO account has Backlinks enabled.",
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"Returns a backlinks profile summary (total backlinks, referring domains, top referring domains). Charges credits (~200-500 typical). Self-hosted deployments need the Backlinks API enabled on their DataForSEO account.",
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inputSchema,
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outputSchema: {
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overview: looseObjectOutputSchema,
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@ -15,7 +15,11 @@ import {
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const inputSchema = {
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projectId: projectIdSchema,
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domain: z.string().min(1).describe("Domain to analyze (e.g. 'example.com')."),
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includeSubdomains: z.boolean().optional().default(false),
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includeSubdomains: z
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.boolean()
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.optional()
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.default(false)
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.describe("Include subdomains in the domain's metrics. Defaults to false."),
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locationCode: locationCodeSchema.optional(),
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languageCode: languageCodeSchema.optional(),
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} as const;
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@ -27,7 +27,7 @@ export const getRankTrackerTool = {
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config: {
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title: "Get rank tracker",
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description:
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"Read-only access to rank tracker configs and their latest results. With `trackerId`, returns config + latest snapshot per keyword. Without it, lists all trackers in the project. Free — reads from OpenSEO state, no DataForSEO call. To trigger a new check, use the dashboard.",
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"Read-only access to rank tracker configs and their latest results. With `trackerId`, returns config + latest snapshot per keyword. Without it, lists all trackers in the project. Free — reads from OpenSEO state, charges no credits. To trigger a new check, use the dashboard.",
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inputSchema,
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outputSchema: z
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.object({
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@ -13,7 +13,7 @@ import {
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} from "@/server/mcp/schemas";
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const querySchema = z.object({
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keyword: z.string().min(1),
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keyword: z.string().min(1).describe("Search query to fetch the SERP for."),
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locationCode: locationCodeSchema.optional(),
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languageCode: languageCodeSchema.optional(),
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});
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@ -13,7 +13,7 @@ export const listProjectsTool = {
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config: {
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title: "List projects",
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description:
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"Lists all projects in the user's organization. Free — does not call DataForSEO. Use this whenever you need a `projectId` for another OpenSEO tool. Returns an array of {id, name, domain}; pass the `id` value as `projectId`.",
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"Lists all projects in the user's organization. Free — charges no credits. Use this whenever you need a `projectId` for another OpenSEO tool. Returns an array of {id, name, domain}; pass the `id` value as `projectId`.",
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inputSchema: {} as Record<string, never>,
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outputSchema: {
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projects: z.array(
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@ -33,7 +33,7 @@ export const listSavedKeywordsTool = {
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config: {
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title: "List saved keywords",
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description:
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"Lists keywords saved to a project (with cached metrics like search volume, difficulty, CPC, and tags if available). Free — reads from OpenSEO's database, no DataForSEO call. Use tag filters when the user asks for a saved segment; multiple tags match ANY tag.",
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"Lists keywords saved to a project (with cached metrics like search volume, difficulty, CPC, and tags if available). Free — reads from OpenSEO's database, charges no credits. Use tag filters when the user asks for a saved segment; multiple tags match ANY tag.",
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inputSchema,
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outputSchema: {
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rows: z.array(looseObjectOutputSchema),
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@ -43,7 +43,7 @@ export const saveKeywordsTool = {
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config: {
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title: "Save keywords",
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description:
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"Save keywords to a project's saved-keywords list. Free — does not call DataForSEO. Idempotent: re-saving an existing keyword is a no-op. If tags are provided, missing tags may be created. By default tags are appended; set tagMode=replace to remove existing tags from these saved keywords before applying the provided tags, which is useful for reorganizing keywords into page/topic clusters. Ask the user for confirmation before applying or replacing tags broadly.",
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"Save keywords to a project's saved-keywords list. Free — charges no credits. Idempotent: re-saving an existing keyword is a no-op. If tags are provided, missing tags may be created. By default tags are appended; set tagMode=replace to remove existing tags from these saved keywords before applying the provided tags, which is useful for reorganizing keywords into page/topic clusters. Ask the user for confirmation before applying or replacing tags broadly.",
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inputSchema,
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outputSchema: {
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projectId: z.string(),
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@ -23,7 +23,7 @@ export const whoamiTool = {
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config: {
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title: "Who am I",
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description:
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"Returns the authenticated user, organization, server mode, token scopes, and current credit balance. Free — does not call DataForSEO. Use this first to confirm connection context before choosing a project or running paid tools.",
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"Returns the authenticated user, organization, server mode, token scopes, and current credit balance. Free — charges no credits. Use this first to confirm connection context before choosing a project or running paid tools.",
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inputSchema: {} as Record<string, never>,
|
||||
outputSchema: {
|
||||
userId: z.string(),
|
||||
|
||||
@ -1,5 +1,7 @@
|
||||
import type { CreateMcpHandlerOptions } from "agents/mcp";
|
||||
import type { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
|
||||
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
|
||||
import { InMemoryTransport } from "@modelcontextprotocol/sdk/inMemory.js";
|
||||
import { beforeEach, describe, expect, it, vi } from "vitest";
|
||||
import { z } from "zod";
|
||||
import { MCP_AUTH_CONTEXT_PROP } from "@/server/mcp/context";
|
||||
@ -12,6 +14,7 @@ const selfHostedAuthMocks = vi.hoisted(() => ({
|
||||
const serverMocks = vi.hoisted(() => ({
|
||||
nextServerId: 0,
|
||||
serverIds: new WeakMap<McpServer, number>(),
|
||||
lastServer: undefined as McpServer | undefined,
|
||||
}));
|
||||
|
||||
vi.mock("@/middleware/ensure-user/cloudflareAccess", () => ({
|
||||
@ -31,6 +34,7 @@ vi.mock("agents/mcp", () => ({
|
||||
createMcpHandler: (_server: McpServer, options: CreateMcpHandlerOptions) => {
|
||||
serverMocks.nextServerId += 1;
|
||||
serverMocks.serverIds.set(_server, serverMocks.nextServerId);
|
||||
serverMocks.lastServer = _server;
|
||||
|
||||
return async () =>
|
||||
new Response(
|
||||
@ -85,6 +89,7 @@ describe("handleSelfHostedOpenSeoMcpRequest", () => {
|
||||
vi.clearAllMocks();
|
||||
serverMocks.nextServerId = 0;
|
||||
serverMocks.serverIds = new WeakMap<McpServer, number>();
|
||||
serverMocks.lastServer = undefined;
|
||||
selfHostedAuthMocks.resolveLocalNoAuthContext.mockResolvedValue({
|
||||
userId: "local-admin",
|
||||
userEmail: "admin@localhost",
|
||||
@ -173,4 +178,46 @@ describe("handleSelfHostedOpenSeoMcpRequest", () => {
|
||||
).not.toHaveBeenCalled();
|
||||
expect(body.options.authContext).toBeUndefined();
|
||||
});
|
||||
|
||||
// Directory scanners (e.g. Smithery) read server metadata from initialize.
|
||||
it("serves directory metadata in the initialize response", async () => {
|
||||
const { handleSelfHostedOpenSeoMcpRequest } =
|
||||
await import("@/server/mcp/transport");
|
||||
|
||||
await handleSelfHostedOpenSeoMcpRequest(
|
||||
createMcpRequest(),
|
||||
"local_noauth",
|
||||
{},
|
||||
ctx,
|
||||
);
|
||||
const server = serverMocks.lastServer;
|
||||
if (!server) throw new Error("MCP server was not created");
|
||||
|
||||
const [clientTransport, serverTransport] =
|
||||
InMemoryTransport.createLinkedPair();
|
||||
const client = new Client({ name: "test-client", version: "0.0.0" });
|
||||
await Promise.all([
|
||||
client.connect(clientTransport),
|
||||
server.connect(serverTransport),
|
||||
]);
|
||||
|
||||
const serverInfo = client.getServerVersion();
|
||||
expect(serverInfo).toMatchObject({
|
||||
name: "OpenSEO MCP",
|
||||
title: "OpenSEO",
|
||||
websiteUrl: "https://openseo.so",
|
||||
icons: [
|
||||
{
|
||||
src: "https://openseo.so/android-chrome-512x512.png",
|
||||
mimeType: "image/png",
|
||||
sizes: ["512x512"],
|
||||
},
|
||||
],
|
||||
});
|
||||
expect(serverInfo?.description).toContain(
|
||||
"SEO research tools for AI agents",
|
||||
);
|
||||
|
||||
await client.close();
|
||||
});
|
||||
});
|
||||
|
||||
@ -17,7 +17,18 @@ function createOpenSeoMcpServer() {
|
||||
const server = new McpServer(
|
||||
{
|
||||
name: "OpenSEO MCP",
|
||||
version: "0.0.10",
|
||||
title: "OpenSEO",
|
||||
version: "0.0.11",
|
||||
description:
|
||||
"SEO research tools for AI agents: keyword research and metrics, SERP and local SERP results, domain and backlink analysis, rank tracking, and Google Search Console performance.",
|
||||
websiteUrl: "https://openseo.so",
|
||||
icons: [
|
||||
{
|
||||
src: "https://openseo.so/android-chrome-512x512.png",
|
||||
mimeType: "image/png",
|
||||
sizes: ["512x512"],
|
||||
},
|
||||
],
|
||||
},
|
||||
{
|
||||
instructions:
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user