MCP Agent Connector
About
Enables any MCP-compliant agentic platform (Claude, Grok, TypingMind, Cursor, etc.) to auto-discover generated MCP servers and sync capabilities from build metadata.
Explore
- Auto-publish MCP server manifest: Automatically publishes a manifest of tools and resources available on the MCP server.
- Supports mcp-agent and Lutra agents: Compatible with both mcp-agent and Lutra agent platforms, offering flexible integration options.
- Metadata broadcast over local network (optional): Optionally broadcasts metadata over the local network to facilitate automatic discovery by compatible agents.
- Claude agent mapping via Claude Desktop config: Maps Claude agents using configurations from Claude Desktop for seamless integration.
- Real-time sync with client environment: Ensures that client environments are kept up-to-date with the latest capabilities and information from MCP servers.
To install the mcp_agent_connector library, you can use pip:
pip install mcp-agent-connector
Alternatively, if you prefer to clone the repository and install it manually, follow these steps:
1. Clone the repository:
git clone https://github.com/your-username/mcp_agent_connector.git
2. Navigate into the project directory:
cd mcp_agent_connector
3. Install the library using pip:
pip install .
``python
from mcp_agent_connector import MCPAgentConnector, ClaudeConfig
claude_config = ClaudeConfig(
desktop_path="/path/to/claude/desktop/config",
agent_mapping={"agent1": "server1", "agent2": "server2"}
)
connector = MCPAgentConnector(claude_config=claude_config)
broadcast_config = BroadcastConfig(
enabled=True,
network_interface="eth0",
broadcast_interval=60 # seconds
)
connector = MCPAgentConnector(broadcast_config=broadcast_config)
- __init__(self, desktop_path=None, agent_mapping=None)
- Initializes configuration for Claude agents.
- Parameters:
- desktop_path: (Optional) Path to the Claude Desktop configuration file.agent_mapping
- : (Optional) A dictionary mapping Claude agent names to MCP server names.
- __init__(self, enabled=False, network_interface=None, broadcast_interval=30)
- Initializes configuration for local network metadata broadcasting.
- Parameters:
- enabled: (Default: False) Boolean indicating whether broadcasting is enabled.network_interface
- : (Optional) The network interface to use for broadcasting.broadcast_interval`: (Default: 30 seconds) Interval between broadcasts.
-
Introduction
The MCP Agent Connector is a powerful open-source library designed to enable any MCP-compliant agentic platform (such as Claude, Grok, TypingMind, Cursor, etc.) to auto-discover generated MCP servers and sync capabilities directly from build metadata. This library streamlines the integration process by automating the discovery of MCP servers and ensuring real-time synchronization with client environments.
Features
- Auto-publish MCP server manifest: Automatically publishes a manifest of tools and resources available on the MCP server.
- Supports mcp-agent and Lutra agents: Compatible with both mcp-agent and Lutra agent platforms, offering flexible integration options.
- Metadata broadcast over local network (optional): Optionally broadcasts metadata over the local network to facilitate automatic discovery by compatible agents.
- Claude agent mapping via Claude Desktop config: Maps Claude agents using configurations from Claude Desktop for seamless integration.
- Real-time sync with client environment: Ensures that client environments are kept up-to-date with the latest capabilities and information from MCP servers.
Installation Instructions
To install the mcp_agent_connector library, you can use pip:
pip install mcp-agent-connector
Alternatively, if you prefer to clone the repository and install it manually, follow these steps:
1. Clone the repository:
git clone https://github.com/your-username/mcp_agent_connector.git
2. Navigate into the project directory:
cd mcp_agent_connector
3. Install the library using pip:
pip install .
Usage Examples
Example 1: Basic Initialization and Auto-publishing
```python
from mcp_agent_connector import MCPAgentConnector
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
