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# Locations MCP Server This project implements a Model Context Protocol (MCP) server with tools for WordPress content extraction, keyword research, and optimized content generation. ## Project Structure - `api/` – Vercel serverless entry point. - `src/clients/` – External API clients (WordPress, Google keyword suggestions, Google Trends). - `src/services/` – Shared services such as caching, logging, and content processing. - `src/tools/` – MCP tool handlers. - `src/types/` – Shared interfaces and types. ## Setup 1. Install dependencies: ```bash npm install ``` 2. Copy environment defaults: ```bash cp .env.example .env ``` 3. Set the environment variables in `.env`: - `WORDPRESS_API_KEY` or `WORDPRESS_OAUTH_TOKEN` – authentication for secured WordPress sites - `WORDPRESS_SITE_URL` – default base URL for extraction - `GOOGLE_TRENDS_PROXY` – optional proxy URL when Trends is blocked in your region - `MAX_PAGES_PER_REQUEST` – caps pagination for WordPress fetches (defaults to 5) - `LOG_LEVEL` – `debug`, `info`, `warn`, or `error` 4. Build the project: ```bash npm run build ``` ## Tools - `extract_wordpress_content` – Fetches pages/posts from a WordPress site with pagination, sanitization, and caching. - `research_keywords` – Generates keyword ideas using Google autocomplete and Trends data with intent classification. - `generate_optimized_content` – Builds structured content using simple Indian English and reports quality metrics. Send a `GET` request to `/api/mcp` to list available tools and their schemas. Send a `POST` request with `{ "tool": "tool_name", "input": { ... } }` to execute one. ## Deployment The `api/mcp.ts` entry is compatible with Vercel serverless functions. The build outputs to `dist/` and the `start` script runs the compiled handler locally. The endpoint enforces a 30-second timeout, validates inputs with Zod, and returns structured JSON responses for MCP compatibility.

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