#766 · Primary category: AI Agents & Automation

mcp-agent

agents ai ai-agents llm llms mcp model-context-protocol python

Build effective agents using Model Context Protocol and simple workflow patterns

Project last updated:01/25/26

GitHub Stars

8.5K

Forks

881

Contributors

60

License

Apache-2.0

Why we included this project

Teams shipping their first real LLM-powered agent usually discover that connecting tools is half the work. This framework makes Model Context Protocol the transport, so any MCP-compatible tool server plugs in and the library handles the lifecycle of those connections for you. It also turns the agent patterns Anthropic documented, routing, tool loops, orchestrator-workers, into composable pieces you can chain, which helps when one task actually needs several steps or roles. If you are deciding how to structure a production agent rather than a demo, the examples give you a working reference to build from.

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