mcp-agent
Build effective agents using Model Context Protocol and simple workflow patterns.
- Type
- MCP
- Transport
- stdio
- Open source
- Yes
- GitHub Stars
- ★ 8.4k
- Source
- mcp-github
- Repository
- github.com/lastmile-ai/mcp-agent
Overview
mcp-agent is a simple, composable framework for building effective agents using the Model Context Protocol (MCP). It fully supports MCP and handles the tedious work of managing MCP server connection lifecycles. mcp-agent implements all the patterns described in Anthropic's 'Building Effective Agents' guide, implemented in a composable way that allows you to chain these patterns together. Additionally, it supports persistent execution, suitable for everything from simple agents to complex workflows based on Temporal. Ideal for developers looking to build efficient and reliable agent applications.
Capabilities
- ▪Full MCP protocol support
- ▪Implementation of multiple effective agent patterns
- ▪Support for persistent execution
- ▪Scalable to production-grade workloads
Use cases
Setup
pip install mcp-agent
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
How do I get started with mcp-agent?
See the quick start guide: https://docs.mcp-agent.com/get-started/overview
What MCP features does mcp-agent support?
Supports core features such as tools, resources, prompts, notifications, and advanced features like OAuth, sampling, and more.
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