MCP Expert Server: Intelligent API Documentation and Query Generation

Overview: What is MCP Expert Server?

MCP Expert Server is an advanced Model Context Protocol (MCP) server designed to enhance AI applications by integrating them with custom data sources through natural language processing (NLP). By leveraging Claude AI, this server automates the generation of API queries based on user requests and provides detailed documentation assistance. The primary objective is to streamline the interaction between AI tools like Claude Desktop and backend systems, enabling seamless use of APIs without manual intervention.

🔧 Core Features & MCP Capabilities

The core features of the MCP Expert Server revolve around two main functionalities: create-query and documentation. These capabilities are integrated through the Model Context Protocol, allowing for dynamic interaction with AI clients. The server excels in understanding natural language queries, generating relevant API requests, and providing comprehensive documentation based on user questions.

1. Create-Query Tool

The create-query tool is designed to generate API queries based on text inputs from users. This tool leverages Claude's powerful NLP abilities to parse complex text into structured API requests, making it highly versatile for various use cases such as data retrieval, authentication, and more.

2. Documentation Tool

The documentation feature offers detailed and context-based documentation information based on user queries. By understanding the structure of your API documentation, this tool can provide in-depth explanations, examples, and relevant sections to help developers or users understand how to use specific features or solve common problems.

⚙️ MCP Architecture & Protocol Implementation

The architecture of the MCP Expert Server is modular and follows the principles of clean coding. It employs TypeScript for development, ensuring robustness and maintainability. The core services are handled by the ExpertService class, which forms an integral part of the server's functionality.

1. Server Setup

Before running the server, it is essential to set up a few configurations:

• Cloning the repository
• Installing dependencies using npm
• Creating and configuring environment variables

2. Standalone Server Configuration

The standalone implementation of the MCP Expert Server can be started with:

npm start

This command initializes both create-query and documentation tools, making them available for use via the Model Context Protocol.

3. Claude Desktop Integration

For a more seamless integration, users can add this configuration to their Claude Desktop settings:

{
  "mcpServers": {
    "expert": {
      "command": "node",
      "args": ["/ABSOLUTE/PATH/TO/expert-server/build/index.js"],
      "env": {
        "ANTHROPIC_API_KEY": "your_api_key_here"
      }
    }
  }
}

🚀 Getting Started with Installation

Here’s a step-by-step guide to install and configure the MCP Expert Server:

1. Clone the Repository

git clone https://github.com/organizations/mcp-expert-server.git
cd mcp-expert-server

2. Install Dependencies

npm install

3. Create a .env File with Your API Key

Add your Anthropic API key to the environment configuration:

ANTHROPIC_API_KEY=your_api_key_here

4. Run the Build and Setup Scripts

Ensure that the necessary directories and files are generated:

npm run build
npm run setup

5. Add Documentation Files

Place your API documentation in the docs/ directory.

6. Customize Prompts (Optional)

Further customize prompts for enhanced interaction with Claude by modifying prompts/ files, such as system-prompt.txt, tool-metadata.txt, etc.

7. Run the Server

Start the server for standalone use:

npm start

💡 Key Use Cases in AI Workflows

Example 1: Data Retrieval on Demand

Suppose a user needs to fetch data based on certain criteria. By sending a natural language request, the create-query tool generates an API query that retrieves relevant information from the backend.

{
  "name": "create-query",
  "arguments": {
    "request": "Find all users who signed up within the last week"
  }
}

Example 2: Documentation Assistance

A developer needs to understand how to authenticate an API request. The documentation tool provides detailed guidance:

{
  "name": "documentation",
  "arguments": {
    "request": "How do I authenticate API requests?"
  }
}

🔌 Integration with MCP Clients

The MCP Expert Server supports integration with various AI clients, including Claude Desktop, Continue, and Cursor. The server’s compatibility is as follows:

MCP Client	Resources	Tools	Prompts	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅ (Limited)	❌ (Not Supported)	Tools Only

📊 Performance & Compatibility Matrix

The performance and compatibility matrix ensure that MCP Expert Server can handle a wide range of requests efficiently:

• Performance: The server is optimized for real-time responses, ensuring minimal latency.
• Compatibility: It supports multiple clients with varying degrees of support.

🛠️ Advanced Configuration & Security

1. MCP Configuration Code Sample

To configure the MCP Expert Server within your Claude Desktop settings, include the following JSON in your config file:

{
  "mcpServers": {
    "[server-name]": {
      "command": "node",
      "args": ["/ABSOLUTE/PATH/TO/expert-server/build/index.js"],
      "env": {
        "ANTHROPIC_API_KEY": "your_api_key_here"
      }
    }
  }
}

2. Security Measures

• Environment Variable Settings: Ensure that sensitive API keys are stored securely.
• Permissions Management: Implement strict role-based access control to protect server functionalities.

❓ Frequently Asked Questions (FAQ)

1. How do I set up the MCP Expert Server for my project?

   • Follow the installation guide in the README, ensuring all dependencies and configuration files are correctly set up.

2. What happens if there’s a connection issue with Claude Desktop?

   • Check that your .env file contains the correct API key and that all required environment variables are properly configured.

3. Is this server compatible with other MCP clients besides Claude Desktop?

   • Yes, it is fully compatible with several popular MCP clients like Continue and Cursor.

4. How can I customize the interactions between my documentation tools and AI clients?

   • Customize prompts in prompts/ directories to tailor the interaction experience according to specific needs.

5. What are some common troubleshooting steps for a new user experiencing issues when setting up the server?

   • Run the setup script, ensure all necessary files exist, check API key validity, and verify that paths specified in the config file are correct.

👨‍💻 Development & Contribution Guidelines

Contributors can help enhance this project by:

• Improving documentation
• Contributing bug fixes
• Adding new features
• Reporting issues in the GitHub repository

For detailed development guidelines and best practices, refer to the CONTRIBUTING.md file included with the project.

🌐 MCP Ecosystem & Resources

Explore other projects within the MCP ecosystem to discover more resources for developers:

• Claude API Documentation
• MCP Client Libraries

1. MCP Protocol Flow Diagram

This diagram illustrates the flow of communication between an AI application, the MCP server, and backend data sources:

graph TD
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[MCP Server]
    C --> D[Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#e8f5e8

2. MCP Client Compatibility Matrix

Provide a clear overview of which MCP clients are supported and the extent to which they are integrated:

MCP Client	Resources	Tools	Prompts	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅ (Limited)	❌ (Not Supported)	Tools Only

By following these detailed steps and leveraging the comprehensive documentation provided, developers can effectively integrate MCP Expert Server into their AI workflows, enhancing accessibility and automation capabilities.