by lastmile-ai · MCP 服务器 · ★ 8.5k
Build effective agents with Model Context Protocol using simple, composable patterns. Examples | Building Effective Agents | MCP Overview is a simple, composable framework to build effective agents using Model Context Protocol. [!Note] mcp-agent's vision is that MCP is all you need to build agents, and that simple patterns are more robust than complex architectures for shipping high-quality agents. gives you the following: Full MCP support: It fully implements MCP, and handles the pesky business of managing the lifecycle of MCP server connections so you don't have to.
| Stars | 8,547 |
| Forks | 891 |
| Language | Python |
| Category | MCP 服务器 |
| License | Apache-2.0 |
| Quality Score | 69.883172911002/100 |
| Open Issues | 138 |
| Last Updated | 2026-01-25 |
| Created | 2024-12-18 |
| Platforms | mcp, python |
| Est. Tokens | ~1772k |
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mcp-agent is Build effective agents using Model Context Protocol and simple workflow patterns. It is categorized as a MCP 服务器 with 8.5k GitHub stars.
mcp-agent is primarily written in Python. It covers topics such as agents, ai, ai-agents.
You can find installation instructions and usage details in the mcp-agent GitHub repository at github.com/lastmile-ai/mcp-agent. The project has 8.5k stars and 891 forks, indicating an active community.
mcp-agent is released under the Apache-2.0 license, making it free to use and modify according to the license terms.