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MCP Expert Server

MCP Expert Server

Local
github.com/crazyrabbitLTCDeveloper Tools3Updated 94w ago

About MCP Expert Server

MCP Expert Server is an MCP server for teams working with API documentation. It uses Claude to generate queries from natural-language requests and answer questions using supplied documentation.

Key features

  1. 01Natural-language query generation
  2. 02Documentation question answering
  3. 03Loads TXT, Markdown, and JSON docs
  4. 04Customizable prompt files

Use cases

  1. 01Generate API queries from plain-language requests
  2. 02Find authentication guidance in API docs

MCP support

Exposes `create-query` and `documentation` tools to MCP clients. It uses Claude through an Anthropic API key to process requests and documentation.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Expert Server

A Model Context Protocol server that provides intelligent query generation and documentation assistance using Claude AI. The server analyzes your API documentation and provides two main tools:

  • create-query: Generates queries based on natural language requests
  • documentation: Provides relevant documentation information based on questions

Prerequisites

  • Node.js >= 18
  • An Anthropic API key for Claude

Installation

  1. Clone the repository
  2. Install dependencies:
npm install
  1. Create a .env file with your Anthropic API key:
ANTHROPIC_API_KEY=your_api_key_here

Setup

Before running the server, you need to:

  1. Build the project and run the setup script:
npm run build
npm run setup

This will:

  • Create the required directories (docs/ and prompts/)
  • Create default prompt files
  • Generate an initial service description
  1. Add your API documentation files to the docs/ directory (supports .txt, .md, and .json files)

  2. Optionally customize the prompts in the prompts/ directory:

    • system-prompt.txt: Main system prompt for Claude
    • tool-metadata.txt: Additional context for tool descriptions
    • query-metadata.txt: Additional context for query generation
    • service-description.txt: Auto-generated service description

Usage

Standalone Server

Start the server:

npm start

The server exposes two tools via the Model Context Protocol:

  • create-query: Generate a query based on natural language request

    {
      "name": "create-query",
      "arguments": {
        "request": "Find all users who signed up in the last week"
      }
    }
    
  • documentation: Get information from the documentation

    {
      "name": "documentation",
      "arguments": {
        "request": "How do I authenticate API requests?"
      }
    }
    
Claude Desktop Integration
  1. Add this configuration to your Claude Desktop config file:
{
  "mcpServers": {
    "expert": {
      "command": "node",
      "args": ["/ABSOLUTE/PATH/TO/expert-server/build/index.js"],
      "env": {
        "ANTHROPIC_API_KEY": "your_api_key_here"
      }
    }
  }
}
  1. Replace /ABSOLUTE/PATH/TO/expert-server with the actual absolute path to your server installation.

  2. Restart Claude Desktop.

Directory Structure

.
├── docs/                  # Your API documentation files
├── prompts/              # System prompts and metadata
│   ├── system-prompt.txt    # Main system prompt
│   ├── tool-metadata.txt    # Tool description context
│   ├── query-metadata.txt   # Query generation context
│   └── service-description.txt  # Generated service description
├── src/                  # Source code
│   ├── index.ts            # Entry point
│   ├── server.ts           # MCP server implementation
│   └── services/           # Core services
│       └── expertService.ts  # Claude integration
└── package.json

Development

  • Build the project:
npm run build
  • The server uses TypeScript and follows a modular architecture
  • All Claude interactions are handled by the ExpertService class
  • Debug logs are written to stderr with [DEBUG] prefix

Troubleshooting

If you encounter connection issues:

  1. Ensure you've run the setup script:
npm run setup
  1. Check that all required files exist in the prompts/ directory
  2. Verify your ANTHROPIC_API_KEY is correctly set
  3. Use absolute paths in your Claude Desktop config
  4. Check the debug logs (written to stderr)

Environment Variables

  • ANTHROPIC_API_KEY: Your Anthropic API key (required)

License

MIT

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.