Autogen MCP
Bridges Microsoft's AutoGen framework with external tools, enabling autonomous agents to execute code, perform research, and collaborate in multi-agent conversations for complex problem-solving tasks via an MCP server.
About this tool
Autogen MCP
Bridges Microsoft's AutoGen framework with external tools, enabling autonomous agents to execute code, perform research, and collaborate in multi-agent conversations for complex problem-solving tasks via an MCP server.
- Source: GitHub Repository
- Category: ai-integration-mcp-servers
- Tags: mcp, ai-integration, autogen, open-source, agent-framework
Features
- Provides integration between Microsoft AutoGen and the Model Context Protocol (MCP)
- Enables AutoGen agents to connect with various MCP-compatible data sources and tools
- Allows seamless context maintenance for AI assistants across different tools and datasets
- Automatic conversion of MCP tool schemas to AutoGen-compatible formats
- Facilitates secure, two-way connections between AI systems and data sources using MCP as a universal protocol
- Supports use of MCP server tools directly in AutoGen (from v0.4.6 onwards)
- Example usage and best practices provided in the samples directory
- Open source, licensed under MIT
Pricing
- This project is open source and free to use under the MIT license.
Additional Notes
- The repository has been archived; its functionality is now integrated into the official
autogen-extpackage (from v0.4.6). - For future updates, refer to the official autogen repository.
Loading more......
Information
Categories
Similar Products
6 result(s)An MCP server that enables LLMs to use a calculator for precise numerical calculations through the MCP protocol.
A tool for building MCP servers tailored for AI agents such as CrewAI and LangGraph. It streamlines the process of deploying and connecting MCP servers to platforms like Cursor and Claude.
A Model Context Protocol (MCP) server that enhances AI-generated content to sound more natural and human-like, with features like AI detection and text refinement. Highly relevant as an example of an advanced MCP server implementation.
A Model Context Protocol implementation for managing and serving AI prompts with a TypeScript architecture, showcasing MCP server capabilities for AI prompt management.
A server that enables Claude Desktop users to access the Claude API directly, bypass Professional Plan limitations, and use advanced features like custom system prompts and conversation management. A practical MCP server for enhanced Claude integration.
A flexible, template-based prompt system server for Claude models, enabling standardized interactions and complex reasoning workflows through a TypeScript/Node.js MCP server with API support. Highly relevant as an MCP server for prompt management.