Overview

Autogen-Ext-MCP: Seamless Integration of AI Assistants with Data Sources

Main Purpose: The Autogen-Ext-MCP project provides a seamless integration between Microsoft Autogen and the Model Context Protocol (MCP), enabling Autogen agents to easily connect with various data sources and tools.

Key Features:

Connects Autogen agents to any MCP-compatible data source or tool
Automatically converts MCP tool schemas to Autogen-compatible formats
Allows AI assistants to maintain context as they move between different tools and datasets

Target Audience and Use Cases:

Developers building AI-powered applications that need to integrate with a variety of data sources
Data scientists and researchers who want to leverage Autogen's capabilities with MCP-compatible tools
Organizations looking to streamline their AI-driven workflows and data integration processes

What Makes it Unique: The Autogen-Ext-MCP project is noteworthy for its ability to bridge the gap between the powerful Autogen platform and the growing ecosystem of MCP-compatible tools and data sources. This integration enables a more seamless and contextual experience for AI assistants, potentially enhancing their capabilities and efficiency.

AutoGen Extension for MCP provides seamless integration between Microsoft AutoGen and MCP tools, enabling AI agents to interact with various data sources.

Configuration

from autogen_ext_mcp.tools import get_tools_from_mcp_server
from mcp import StdioServerParameters

server_params = StdioServerParameters(
    command="npx",
    args=[
        "-y",
        "@modelcontextprotocol/server-filesystem",
        desktop_path
    ]
)

Technical Details

| Feature | Support | |---------|----------| | Runtime | Python | | Version | >=3.12 | | Dependencies | AutoGen >=0.4.0, mcp >=1.1.2 | | License | MIT | | Category | Development | | Last Update | December 27, 2024 |

The project provides robust integration capabilities for AutoGen agents while maintaining compatibility with the broader MCP ecosystem, making it particularly valuable for developers working with Microsoft's AutoGen framework.

Key Features:

Connects Autogen agents to any MCP-compatible data source or tool
Automatically converts MCP tool schemas to Autogen-compatible formats
Allows AI assistants to maintain context as they move between different tools and datasets

Target Audience and Use Cases:

Developers building AI-powered applications that need to integrate with a variety of data sources
Data scientists and researchers who want to leverage Autogen's capabilities with MCP-compatible tools
Organizations looking to streamline their AI-driven workflows and data integration processes

AutoGen Extension for MCP provides seamless integration between Microsoft AutoGen and MCP tools, enabling AI agents to interact with various data sources.

Configuration

from autogen_ext_mcp.tools import get_tools_from_mcp_server
from mcp import StdioServerParameters

server_params = StdioServerParameters(
    command="npx",
    args=[
        "-y",
        "@modelcontextprotocol/server-filesystem",
        desktop_path
    ]
)