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dataforseo-mcp-server

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A Model Context Protocol (MCP) server for the DataForSEO API, enabling modular and extensible integration of DataForSEO endpoints with support for both HTTP and SSE transports.

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import { z } from 'zod'; import { BaseTool } from '../../base.tool.js'; export class ContentAnalysisPhraseTrendsTool extends BaseTool { constructor(dataForSEOClient) { super(dataForSEOClient); } getName() { return 'content_analysis_phrase_trends'; } getDescription() { return `This endpoint will provide you with data on all citations of the target keyword for the indicated date range`; } getParams() { return { keyword: z.string().describe(`target keyword Note: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;`), keyword_fields: z.object({ title: z.string().optional(), main_title: z.string().optional(), previous_title: z.string().optional(), snippet: z.string().optional() }).optional().describe(`target keyword fields and target keywords use this parameter to filter the dataset by keywords that certain fields should contain; you can indicate several fields; Note: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; example: { "snippet": "\\"logitech mouse\\"", "main_title": "sale" }`), page_type: z.array(z.enum(['ecommerce', 'news', 'blogs', 'message-boards', 'organization'])).optional().describe(`target page types`), initial_dataset_filters: z.array(z.union([ z.array(z.union([z.string(), z.number(), z.boolean()])).length(3), z.enum(["and", "or"]) ])).max(8).optional().describe(`initial dataset filtering parameters initial filtering parameters that apply to fields in the Search endpoint; you can add several filters at once (8 filters maximum); you should set a logical operator and, or between the conditions; the following operators are supported: regex, not_regex, <, <=, >, >=, =, <>, in, not_in, like,not_like, has, has_not, match, not_match you can use the % operator with like and not_like to match any string of zero or more characters; example: ["domain","<>", "logitech.com"] [["domain","<>","logitech.com"],"and",["content_info.connotation_types.negative",">",1000]] [["domain","<>","logitech.com"]], "and", [["content_info.connotation_types.negative",">",1000], "or", ["content_info.text_category","has",10994]]`), date_from: z.string().describe(`starting date of the time range date format: "yyyy-mm-dd"`), date_to: z.string().describe(`ending date of the time range date format: "yyyy-mm-dd"`).optional(), date_group: z.enum(['day', 'week', 'month']).default('month').describe(`date grouping type`).optional(), internal_list_limit: z.number().min(1).max(20).default(1) .describe(`maximum number of elements within internal arrays you can use this field to limit the number of elements within the following arrays`) .optional(), }; } async handle(params) { try { const response = await this.dataForSEOClient.makeRequest('/v3/content_analysis/phrase_trends/live', 'POST', [{ keyword: params.keyword, keyword_fields: params.keyword_fields, page_type: params.page_type, initial_dataset_filters: this.formatFilters(params.initial_dataset_filters), date_from: params.date_from, date_to: params.date_to, date_group: params.date_group, internal_list_limit: params.internal_list_limit }]); return this.validateAndFormatResponse(response); } catch (error) { return this.formatErrorResponse(error); } } }