Model Context Protocol (mcp) 16r

🚀 Model Context Guide

This guide provides a detailed introduction to the Model Context Protocol project, including project structure, installation steps, usage instructions, server configuration, troubleshooting, contribution guidelines, protocol details, and a glossary.

🚀 Quick Start

Project Structure

- mcp/
  - clients/
    - mcp-client/
      - langchain_mcp_client_wconfig.py
      - theailanguage_config.json
      - .env
  - servers/
    - terminal_server/
    - memory_server/

Model Context Explanation

Local Setup Guide

Prerequisites

• Python 3.9+
• Node.js 16+
• Google API Key
• UV Package Manager

Installation Steps

1. Clone the repository:

   git clone https://github.com/Techiral/mcp.git
   cd mcp
   

2. Create and activate a Python environment:

   python -m venv venv
   # Linux/Mac:
   source venv/bin/activate
   # Windows:
   .\venv\Scripts\activate
   pip install -r requirements.txt
   

3. Configure environment variables:

   echo "GOOGLE_API_KEY=your_key_here" > clients/mcp-client/.env
   echo "THEAILANGUAGE_CONFIG=clients/mcp-client/theailanguage_config.json" >> clients/mcp-client/.env
   

4. Install Node.js servers:

   npm install -g @modelcontextprotocol/server-memory @modelcontextprotocol/server-filesystem
   

Verification Checklist

• [x] Repository cloned
• [x] Python virtual environment created and activated
• [x] Python dependencies installed
• [x] .env file configured
• [x] Node.js servers installed

💻 Usage Examples

Basic Usage

1. Start the client:

   python clients/mcp-client/langchain_mcp_client_wconfig.py
   

2. Enter natural language requests and receive responses.

Command Examples

File Operations

Create a file named example.txt
Search for "function" in all Python files
Count the number of lines in main.py

Web Content

Summarize https://example.com
Extract the top news from a news site

System Commands

List files in the current directory
Check the Python version
Run git status

Memory Operations

Remember that my favorite color is blue
Show the set preferences
Show recent commands

📚 Documentation

Server Configuration

Key Configuration Files

• theailanguage_config.json: Main server configuration file
• .env: Environment variable file

Example Server Configuration

{
  "terminal_server": {
    "command": "uv",
    "args": ["run", "servers/terminal_server/terminal_server.py"]
  },
  "memory": {
    "command": "npx.cmd",
    "args": ["@modelcontextprotocol/server-memory"],
    "port": 3000
  }
}

Troubleshooting

Common Issues

1. Network connection problems:

   • Check the network connection.
   • Ensure the server is running.

2. Dependencies not installed:

   • Check and install all necessary packages.

3. Configuration file errors:

   • Ensure the configuration file format is correct.
   • Check if environment variables are set correctly.

How to Contribute

Submitting Code

1. Create a feature branch:

   git checkout -b feature/new-feature
   

2. Commit changes:

   git add .
   git commit -m "Add a new feature"
   

3. Push to the remote repository:

   git push origin feature/new-feature
   

4. Create a pull request to the main branch.

Reporting Issues

1. Create an issue report:

   • Describe the problem.
   • Provide steps to reproduce.

2. Submit a Pull Request:

   • Include the fix code.
   • Explain the fix.

Model Context Protocol

Protocol Description

• Data format: JSON
• Communication method: HTTP
• Interface version: 1.0

Example Interface Call

POST /api/v1/model_context HTTP/1.1
Content-Type: application/json

{
  "model_id": "gpt-3",
  "context": {
    "user_input": "How to use Python?"
  }
}

Glossary

Thank you for using the Model Context Guide! For more information, please visit our documentation page.