Which integrations are available for this server?

Provides keyword research capabilities using Google autocomplete suggestions and Google Trends data with intent classification for content optimization. Enables extraction of pages and posts from WordPress sites with pagination, sanitization, and caching support for content analysis and processing.

How do I use Locations MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Locations MCP Server research keywords for 'best coffee shops in Seattle'" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

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

Install dependencies:
```
npm install
```
Copy environment defaults:
```
cp .env.example .env
```
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
Build the project:
```
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.