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MCPAgentAI MCP Server

@mcpagents-ai

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

mcpagents-ai

MCPAgentAI MCP Server について

Python SDK designed to simplify interactions with MCP (Model Context Protocol) servers. It provides an easy-to-use interface for connecting to MCP servers, reading resources, and calling tools

#mcpagentai#tool-wrapping#automation

MCPAgentAI MCP Server の設定

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": {
    "mcpagentai": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcpagentai",
        "."
      ]
    }
  }
}

MCPAgentAI MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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 MCPAgentAI 🚀?

MCPAgentAI 🚀 is a standardized tool wrapping framework for implementing and managing diverse tools in a unified way using the Model Context Protocol (MCP). It helps developers quickly integrate and launch tool-based use cases.

How to use MCPAgentAI 🚀?

Install via PyPI (pip install mcpagentai). Run locally with mcpagentai --local-timezone "America/New_York" or in Docker. Customize tool sets by configuring agents in Python code with MultiToolAgent.

Key features of MCPAgentAI 🚀

  • Standardized tool wrapping using the MCP protocol.
  • Flexible addition or removal of tools.
  • Pre-built tools: Twitter, crypto, ElizaOS, weather.
  • Python‑based with optional Docker containerization.

Use cases of MCPAgentAI 🚀

  • Automate Twitter interactions (tweet, reply, manage accounts).
  • Fetch real‑time cryptocurrency and stock market data.
  • Enhance automation with ElizaOS agent integration.
  • Access weather, dictionary, and currency conversion tools.

よくある質問

1

What is MCP and how does MCPAgentAI 🚀 use it?

MCP (Model Context Protocol) is a standard for context sharing across AI models. MCPAgentAI 🚀 wraps tools using the MCP protocol to enable interoperability.

2

How do I install MCPAgentAI 🚀?

Install via `pip install mcpagentai` from PyPI. You can also build from source by cloning the repository and running `pip install -e .`.

3

How do I run MCPAgentAI 🚀?

Run with `mcpagentai --local-timezone "America/New_York"` for local use, or via Docker with `docker run -i --rm mcpagentai`. For custom tool sets, configure Python code using `MultiTool

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