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Time MCP Server

@suryawanshishantanu6

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基本情報

カテゴリ

生産性

トランスポート

stdio

作者

suryawanshishantanu6

Time MCP Server について

MCP Server which returns current timestamp with streamlit app

#time-mcp#timestamp#ai-agent

Time 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": {
    "time-mcp-suryawanshishantanu6": {
      "command": "python",
      "args": [
        "flask_api.py"
      ]
    }
  }
}

Time 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 time-mcp?

time-mcp is a minimal agentic AI system that answers time-related and general questions using a tool-augmented LLM pipeline. It integrates a Flask API for the current timestamp, an MCP agent server for reasoning and tool calling, and a Streamlit chat interface.

How to use time-mcp?

Set the OPENROUTER_API_KEY environment variable, then run three components in separate terminals: python flask_api.py for the time API, python mcp_server.py for the MCP agent server, and streamlit run streamlit_ui.py for the UI. Open the Streamlit UI in your browser (default http://localhost:8501) and ask questions.

Key features of time-mcp

  • Flask API provides the current timestamp.
  • MCP agent server detects user intent and calls tools.
  • Integrates with LLMs via OpenRouter (OpenAI-compatible API).
  • Streamlit UI offers a simple chat interface.
  • Easily extensible with additional tools via the MCPAgent class.

Use cases of time-mcp

  • Ask for the current time and receive a natural language response.
  • Ask general knowledge questions that are answered by the LLM.
  • Demonstrate a tool-augmented agent pipeline for learning or prototyping.

よくある質問

1

What dependencies are required to run time-mcp?

Python 3.7+ and the packages listed in `requirements.txt`. Also need an OpenRouter API key set as the `OPENROUTER_API_KEY` environment variable.

2

How does authentication work?

The system uses an OpenRouter API key for LLM access. The Flask time API does not require authentication.

3

Can I add more tools to the agent?

Yes. Implement new methods in the `MCPAgent` class and update `self.tools`. You can also improve intent detection by extending `detect_intent()`.

4

What LLM model does time-mcp use?

The model is defined in the `call_llm()` method and can be changed by updating the `model` field. It uses OpenRouter, which provides access to various models.

5

Is there a web interface?

Yes, a Streamlit UI is provided. Run `streamlit run streamlit_ui.py` to open the chat interface in your browser.

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