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Lightweight MCP client for TowardsAGI MCP servers

Project description

TMCP Client

PyPI version Python 3.8+ License: MIT

Lightweight MCP client for TowardsAGI MCP servers

A minimal, efficient client for connecting to TowardsAGI MCP servers via HTTP API. Designed for use with Claude, Cursor, VS Code, and other MCP-compatible applications.

๐Ÿš€ Quick Start

Installation

# Install from PyPI
pip install tmcp-client

# Or use with uvx (no installation required)
uvx tmcp-client

Usage with MCP Applications

Add to your MCP configuration file (e.g., ~/.cursor/mcp.json):

{
  "mcpServers": {
    "my-database": {
      "command": "uvx",
      "args": ["tmcp-client"],
      "env": {
        "TOWARDSMCP_SERVER_URL": "https://your-server.com/",
        "TOWARDSMCP_RESOURCE": "your-resource-name",
        "TOWARDSMCP_API_KEY": "tmcp_your-api-key"
      }
    }
  }
}

๐Ÿ“‹ Configuration

The client requires three environment variables:

Variable Description Example
TOWARDSMCP_SERVER_URL Your TMCP server URL https://beta.towardsmcp.com/
TOWARDSMCP_RESOURCE Resource name to connect to my-database
TOWARDSMCP_API_KEY Your API key tmcp_abc123...

๐Ÿ”ง Installation Methods

Method 1: UVX (Recommended)

No installation required - automatically downloads and runs:

{
  "command": "uvx",
  "args": ["tmcp-client"],
  "env": { ... }
}

Method 2: Global Installation

Install once, use everywhere:

pip install tmcp-client
{
  "command": "tmcp-client",
  "env": { ... }
}

Method 3: Python Module

Use with existing Python installation:

{
  "command": "python",
  "args": ["-m", "tmcp_client"],
  "env": { ... }
}

๐Ÿ—๏ธ Architecture

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    HTTP/JSON-RPC    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚   MCP Client    โ”‚ โ—„โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ–บ โ”‚  TowardsAGI      โ”‚
โ”‚ (Claude/Cursor) โ”‚                     โ”‚  MCP Server      โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜                     โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
         โ–ฒ                                        โ”‚
         โ”‚ stdio/JSON-RPC                         โ”‚
         โ–ผ                                        โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”                     โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚   tmcp-client   โ”‚                     โ”‚   Your Database  โ”‚
โ”‚     Bridge      โ”‚                     โ”‚   (PostgreSQL,   โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜                     โ”‚   MongoDB, etc.) โ”‚
                                        โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

๐Ÿ› ๏ธ Development

Local Development

# Clone and install in development mode
git clone https://github.com/TowardsAGI-AI/tmcp-client.git
cd tmcp-client
pip install -e .

# Run tests
pytest

# Format code
black src/
isort src/

Building

# Build package
python -m build

# Install locally
pip install dist/tmcp_client-*.whl

๐Ÿ“š Examples

Basic Usage

import asyncio
from tmcp_client import TMCPBridge

async def example():
    bridge = TMCPBridge()
    
    # List available tools
    tools = await bridge.list_tools()
    print(f"Available tools: {[t['name'] for t in tools]}")
    
    # Call a tool
    result = await bridge.call_tool("query", {"sql": "SELECT 1"})
    print(f"Result: {result}")
    
    await bridge.close()

# Run with environment variables set
asyncio.run(example())

Multiple Resources

{
  "mcpServers": {
    "production-db": {
      "command": "uvx",
      "args": ["tmcp-client"],
      "env": {
        "TOWARDSMCP_SERVER_URL": "https://prod.towardsmcp.com/",
        "TOWARDSMCP_RESOURCE": "prod-database",
        "TOWARDSMCP_API_KEY": "tmcp_prod_key"
      }
    },
    "analytics-db": {
      "command": "uvx", 
      "args": ["tmcp-client"],
      "env": {
        "TOWARDSMCP_SERVER_URL": "https://analytics.towardsmcp.com/",
        "TOWARDSMCP_RESOURCE": "analytics-warehouse",
        "TOWARDSMCP_API_KEY": "tmcp_analytics_key"
      }
    }
  }
}

๐Ÿ” Troubleshooting

Common Issues

"Missing required environment variables"

  • Ensure all three environment variables are set in your MCP config

"Authentication failed (401)"

  • Check your TOWARDSMCP_API_KEY is correct and not expired

"Resource not found (404)"

  • Verify the TOWARDSMCP_RESOURCE name matches your server configuration

"Connection timeout"

  • Check your TOWARDSMCP_SERVER_URL is accessible and correct

Debug Mode

Set TMCP_DEBUG=1 environment variable for verbose logging:

{
  "env": {
    "TOWARDSMCP_SERVER_URL": "...",
    "TOWARDSMCP_RESOURCE": "...",
    "TOWARDSMCP_API_KEY": "...",
    "TMCP_DEBUG": "1"
  }
}

Publishing Build Artifact

cd tmcp-client
twine upload dist/*
Enter your API token: "provoid API tocken from pypi project (tmcp/api_tocken.txt)"

๐Ÿ“„ License

MIT License - see LICENSE file for details.

๐Ÿค Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests
  5. Submit a pull request

๐Ÿ“ž Support


Made with โค๏ธ by TowardsAGI.AI

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