Skip to main content

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tmcp_client-1.0.4.tar.gz (10.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tmcp_client-1.0.4-py3-none-any.whl (9.2 kB view details)

Uploaded Python 3

File details

Details for the file tmcp_client-1.0.4.tar.gz.

File metadata

  • Download URL: tmcp_client-1.0.4.tar.gz
  • Upload date:
  • Size: 10.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for tmcp_client-1.0.4.tar.gz
Algorithm Hash digest
SHA256 afdbfdfa281b4a1d45e81dd52387ba591f34bcf4dba83517b6b137eb65f9e898
MD5 232efdee165aa81873a437ec6abf2acd
BLAKE2b-256 0bcaddb976c49cb1a187abc466b9ac7824dac6741148379a04c9f9902ae9ae3e

See more details on using hashes here.

File details

Details for the file tmcp_client-1.0.4-py3-none-any.whl.

File metadata

  • Download URL: tmcp_client-1.0.4-py3-none-any.whl
  • Upload date:
  • Size: 9.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for tmcp_client-1.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 f938607127a9de2fa8220737ff37c597a6bc799fabd577bbf529306cdb196747
MD5 5fe6b957f05f3d6bdcbe21692c31c231
BLAKE2b-256 6c6b82732c7eed1c1f3d8d40ff39ca5881404e69d403b9ef2e92e668c7a94049

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page