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Flex MCP Agent

@MahithChigurupati

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

MahithChigurupati

Flex MCP Agent について

Flex MCP Agent is an AI-powered agent designed to interface with MCP servers to process and resolve user queries. Simply configure it with MCP servers, and watch it scale effortlessly—no limits, no bottlenecks.

Flex MCP Agent 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": {
    "Flex-MCP-Agent": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

Flex MCP Agent 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 Flex MCP Agent?

An agent that integrates weather data retrieval, Confluence interaction, and email sending. It uses a structured chat agent and the Model Context Protocol (MCP) to standardize interactions between the agent and various data sources.

How to use Flex MCP Agent?

Clone the repository, create a virtual environment, install dependencies from requirements.txt, copy and update config.example.json to config.json and .env.example to .env with required keys, start the weather server (mcp_weather_server.py) and email server (mcp_email_server.py), then run mcp_agent.py.

Key features of Flex MCP Agent

  • Fetches current weather data via the Open-Meteo API.
  • Sends emails using the SendGrid API.
  • Interacts with Confluence using available tools.
  • Uses a structured chat agent with LangChain and OpenAI.
  • Standardizes interactions via the Model Context Protocol (MCP).

Use cases of Flex MCP Agent

  • Fetch weather data for specified coordinates.
  • Send emails using a SendGrid API key.
  • Retrieve or update Confluence pages as user requests.
  • Provide a unified interface for multiple data sources.

よくある質問

1

What environment variables are required?

`SENDGRID_API_KEY`, `FROM_EMAIL`, and `OPENAI_MODEL` must be set in the `.env` file.

2

How do I set up the Confluence server?

Clone the separate Git repository referenced by the author for the Confluence MCP server.

3

What runtime dependencies are needed?

Python packages: `langchain_mcp_adapters`, `langchain_openai`, `langchain`, `python-dotenv`, and `sendgrid`.

4

Can the agent handle custom queries?

Yes, it uses a structured chat agent to interpret user input and decide which tool to call.

5

What transport methods are available for MCP?

The configuration file `config.example.json` supports customizable URLs and transport methods, but specific transport types are not explicitly documented.

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