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MCP Agent

@lastmile-ai

代码仓库

基本信息

分类

AI 与智能体

许可证

Apache-2.0

传输方式

stdio

作者

lastmile-ai

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

MCP Agent 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"
      ]
    }
  }
}

MCP Agent 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

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

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