MCPClient Python Application MCP Server

@spirita1204

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

spirita1204

MCPClient Python Application MCP Server について

implementation for interacting between an MCP server and an Ollama model

#python #mcp #llm #ollama

MCPClient Python Application 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": {
    "mcp-client-spirita1204": {
      "command": "python",
      "args": [
        "client.py",
        "<server_script_path>"
      ]
    }
  }
}

MCPClient Python Application 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 MCPClient Python Application?

It is a Python client application designed to interact with an MCP (Model Context Protocol) server. It provides asynchronous communication, dynamic tool management, and a command-line chat interface for developers building MCP-based tools.

How to use MCPClient Python Application?

Clone or download the script, install dependencies (pip install -r requirements.txt), create a .env file with environment variables (e.g., BASE_URL and MODEL), then run python client.py <server_script_path> where the server script can be a .py or .js file.

Key features of MCPClient Python Application

Asynchronous communication using asyncio
Connects to both Python and JavaScript server scripts
Dynamically fetches and interacts with server tools
Command-line chat interface for conversational queries
Extracts and executes JSON tool calls from responses
Loads environment variables from a .env file

Use cases of MCPClient Python Application

Query an MCP server for information such as weather data
Run custom tool executions through a conversational interface
Integrate with local LLM models (e.g., llama3.2 via Ollama)
Test and debug MCP server tool interactions interactively

よくある質問

What runtime dependencies does MCPClient Python Application require?

Python 3.7 or higher, and packages: asyncio (included), requests, mcp, and dotenv.

How does MCPClient Python Application connect to the MCP server?

It connects via standard input/output channels using a provided server script (Python or JavaScript).

Where does MCPClient Python Application load environment variables from?

It loads environment variables from a `.env` file in the root directory, with examples like `BASE_URL` and `MODEL`.

Can MCPClient Python Application connect to JavaScript-based servers?

Yes, the client supports both Python (`.py`) and JavaScript (`.js`) server scripts.

What transport mechanism does MCPClient Python Application use?

The client communicates with the server through standard input/output (stdio) channels.

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