MCP Expert Server: Intelligent Query Generation and Documentation Assistance

Overview: What is MCP Expert Server?

MCP Expert Server is an advanced Model Context Protocol (MCP) server designed to provide intelligent query generation and documentation assistance through Claude AI. By analyzing your API documentation, it enables the creation of natural language queries and delivers relevant documentation information based on user inputs. This server enhances AI applications by integrating seamlessly with various MCP clients, offering a robust platform for developers building sophisticated AI workflows.

🔧 Core Features & MCP Capabilities

MCP Expert Server leverages the Model Context Protocol to provide a standardized interface between AI applications and specific data sources or tools. The core capabilities include:

• Intelligent Query Generation: Generates queries based on natural language requests, making it easy for users to interact with APIs through simple text.
• Documentation Assistance: Provides relevant documentation snippets based on user questions, facilitating quick lookup of API details.

These features are implemented using Claude AI, which processes prompts and returns appropriate responses. The server analyzes the documentation files provided by the user in docs/ directories, generating metadata that optimizes query processing and response generation.

Overview Diagram: MCP Protocol Flow

The following Mermaid diagram illustrates the flow of data and interactions between an AI application (MCP Client), the MCP Expert Server, and external APIs or tools:

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

⚙️ MCP Architecture & Protocol Implementation

The architecture of the MCP Expert Server is built on modular components, ensuring scalability and ease of maintenance. Key components include:

1. Source Code:

   • src/index.ts: Entry point handling protocol requests.
   • src/server.ts: Implementing the Model Context Protocol for server interactions.
   • src/services/expertService.ts: Handling Claude AI integration and prompt processing.

2. Dependencies:

   • Node.js >= 18
   • Required to install dependencies using npm.
   • Environment variables set via .env.

3. Setup Process:

   • Preparing the necessary directories for documentation (docs/) and prompts (prompts/).
   • Initializing default prompt files for system, tool metadata, query metadata, and service description.

🚀 Getting Started with Installation

To install and run the MCP Expert Server, follow these steps:

1. Clone the repository:

git clone https://github.com/user/expert-server.git

2. Install dependencies:

npm install

3. Create .env file for your Anthropic API key:

ANTHROPIC_API_KEY=your_api_key_here

4. Run the setup script to prepare the environment:

npm run build
npm run setup

This process ensures that all required directories and files are created, setting up the server for optimal performance.

5. Add API documentation files: Place your .txt, .md, or .json documents in the docs/ directory.

6. Customize prompt templates if needed, found in the prompts/ directory:

   • system-prompt.txt: Main prompt template 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.

💡 Key Use Cases in AI Workflows

Use Case 1: Query Generation for API Requests

AI developers can use MCP Expert Server to build applications that understand and generate complex API requests based on natural language inputs. For example, a user might ask, "Find all users who signed up in the last week," and the application would return the appropriate query.

Use Case 2: Documentation Lookup during Development

Developers working with APIs can use this server to quickly look up documentation without leaving their development environment. By asking questions like, "How do I handle authentication?" or "What parameters does this endpoint require?", they get immediate, contextually relevant answers directly from the API’s documentation.

🔌 Integration with MCP Clients

MCP Expert Server is compatible with a variety of MCP clients such as Claude Desktop, Continue, and Cursor. The server supports these platforms through custom configurations that enable seamless data exchange:

Integration Example for Claude Desktop

To integrate this server into Claude Desktop, set the configuration in config.json:

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

Ensure you replace /ABSOLUTE/PATH/TO/expert-server with the correct path to your server installation.

📊 Performance & Compatibility Matrix

The compatibility matrix for MCP clients is as follows:

MCP Client	Resources	Tools	Prompts	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅	❌	Tool Only

This table highlights the capabilities and limitations of each client with respect to resource management, tool compatibility, and prompt generation.

🛠️ Advanced Configuration & Security

Advanced Setup

For advanced setups, you might want to:

1. Adjust debug settings: Modify logging levels in the server.ts file.
2. Optimize prompt files: Customize prompts for better performance or user experience.

Security Best Practices

Ensure environment variables are securely managed:

• Use .env files for sensitive data like API keys.
• Store secure configurations outside of source control using encrypted environment variables if necessary.

❓ Frequently Asked Questions (FAQ)

1. Q: How do I handle connection issues?

   • A: Run the setup script and check configurations in prompts/.

2. Q: Is this server compatible with different MCP clients?

   • A: Yes, it supports Claude Desktop, Continue, and Cursor.

3. Q: Can I customize prompt templates for better performance?

   • A: Absolutely, you can adjust the prompts to fit specific use cases.

4. Q: How do I integrate this server with my existing API documentation setup?

   • A: Place your documentation files in the docs/ directory and ensure they are formatted correctly. Customize prompt templates if needed.

5. Q: What is the performance impact of using multiple AI clients?

   • A: Performance can vary, but typically integration with up to three clients shows minimal impact on server load.

👨‍💻 Development & Contribution Guidelines

To contribute to this project:

1. Fork the repository and create a new branch.
2. Develop new features: Ensure they follow existing coding standards.
3. Run tests: Utilize npm test for continuous integration.
4. Push changes: Commit your changes with descriptive messages.
5. Submit Pull Requests (PRs): Open PRs for review.

🌐 MCP Ecosystem & Resources

MCP Expert Server is part of a broader MCP ecosystem that includes other servers and tools designed to enhance AI integrations. Explore resources like the official Model Context Protocol documentation, developer forums, and community projects to stay updated on the latest developments in MCP technology.

By leveraging this server, developers can build more intelligent, user-friendly applications that integrate seamlessly with various AI platforms through the consistent Model Context Protocol framework.