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Mcp Agent

@lastmile-ai

リポジトリ

Mcp Agent について

Build effective agents using Model Context Protocol and simple workflow patterns

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

基本情報

カテゴリ

AI とエージェント

ライセンス

Apache-2.0

ランタイム

python

トランスポート

stdio

公開者

lastmile-ai

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

コメント

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