SEO Tools MCP Server

import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js"; import { z } from "zod"; import { DataForSeoClient } from "../client.js"; import { registerTool, registerTaskTool } from "../tools.js"; import { DataForSeoResponse } from "../types.js"; export function registerContentAnalysisTools(server: McpServer, apiClient: DataForSeoClient) { // Content Analysis Summary registerTool( server, "content_analysis_summary", z.object({ url: z.string().describe("URL to analyze"), language_name: z.string().optional().describe("Language name"), language_code: z.string().optional().describe("Language code"), calculate_sentiment: z.boolean().optional().describe("Calculate sentiment"), calculate_toxicity: z.boolean().optional().describe("Calculate toxicity"), calculate_readability: z.boolean().optional().describe("Calculate readability"), calculate_keyword_density: z.boolean().optional().describe("Calculate keyword density"), calculate_information_score: z.boolean().optional().describe("Calculate information score"), calculate_adult_score: z.boolean().optional().describe("Calculate adult score") }), async (params, client) => { const response = await client.post<DataForSeoResponse<any>>( "/content_analysis/summary/live", [params] ); return response; }, apiClient ); // Content Analysis Search registerTool( server, "content_analysis_search", z.object({ query: z.string().describe("Search query"), language_name: z.string().optional().describe("Language name"), language_code: z.string().optional().describe("Language code"), search_mode: z.enum(["web", "news"]).optional().describe("Search mode"), calculate_sentiment: z.boolean().optional().describe("Calculate sentiment"), calculate_toxicity: z.boolean().optional().describe("Calculate toxicity"), calculate_readability: z.boolean().optional().describe("Calculate readability"), calculate_information_score: z.boolean().optional().describe("Calculate information score"), calculate_keyword_density: z.boolean().optional().describe("Calculate keyword density"), calculate_adult_score: z.boolean().optional().describe("Calculate adult score"), limit: z.number().optional().describe("Maximum number of results to return"), offset: z.number().optional().describe("Offset for pagination") }), async (params, client) => { const response = await client.post<DataForSeoResponse<any>>( "/content_analysis/search/live", [params] ); return response; }, apiClient ); // Content Analysis Category registerTool( server, "content_analysis_category", z.object({ url: z.string().describe("URL to categorize"), language_name: z.string().optional().describe("Language name"), language_code: z.string().optional().describe("Language code") }), async (params, client) => { const response = await client.post<DataForSeoResponse<any>>( "/content_analysis/category/live", [params] ); return response; }, apiClient ); // Content Analysis Sentiment Analysis registerTool( server, "content_analysis_sentiment_analysis", z.object({ text: z.string().describe("Text to analyze"), language_name: z.string().optional().describe("Language name"), language_code: z.string().optional().describe("Language code") }), async (params, client) => { const response = await client.post<DataForSeoResponse<any>>( "/content_analysis/sentiment_analysis/live", [params] ); return response; }, apiClient ); // Content Analysis Rating Distribution registerTool( server, "content_analysis_rating_distribution", z.object({ rating_values: z.array(z.number()).describe("Array of rating values"), algo: z.enum(["percentile", "linear", "exponential"]).optional().describe("Algorithm for distribution calculation") }), async (params, client) => { const response = await client.post<DataForSeoResponse<any>>( "/content_analysis/rating_distribution/live", [params] ); return response; }, apiClient ); }