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Mcp Agent

@lastmile-ai

代码仓库

关于 Mcp Agent

Build effective agents using Model Context Protocol and simple workflow patterns

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

基本信息

分类

AI 与智能体

许可证

Apache-2.0

运行时

python

传输方式

stdio

发布者

lastmile-ai

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-agent": {
      "command": "uvx",
      "args": [
        "mcp-agent",
        "init",
        "--template",
        "basic",
        "#",
        "Scaffold",
        "a",
        "new",
        "project"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Mcp Agent?

Mcp Agent is a simple, composable framework for building effective agents using the Model Context Protocol (MCP). It fully implements MCP, manages the lifecycle of MCP server connections, and implements every pattern from Anthropic's "Building Effective Agents" in a composable way. Mcp Agent is for developers who want to build agents that can pause, resume, and recover without API changes, scaling from simple agents to sophisticated workflows on Temporal.

How to use Mcp Agent?

Install with uv add mcp-agent or pip install mcp-agent and optionally add LLM provider extras (e.g., openai, anthropic). Configure MCP servers and secrets in YAML files, then use the Python SDK to create Agent instances, attach an Augmented LLM, and generate responses. The CLI is available via uvx mcp-agent for scaffolding and deployment.

Key features of Mcp Agent

  • Full MCP support: Tools, Resources, Prompts, Notifications, OAuth, and more
  • Composable agent patterns: map-reduce, orchestrator, evaluator-optimizer, router
  • Durable execution via Temporal without

评论

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