What are the dependencies and runtime requirements?
The server requires Python 3 and the packages listed in `requirements.txt`. It uses the FastMCP library and runs via stdio.
@djaboxx
基本情報
Template for creating Model Context Protocol (MCP) servers
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": {
"template-mcp-server-djaboxx": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}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。
The Python MCP Server Template is a foundation for building Model Context Protocol (MCP) servers that integrate with VS Code’s AI features. It provides best practices for async Python, configuration validation, logging, and error handling, following patterns from production MCP servers.
Clone the repository, create a Python virtual environment, install dependencies from requirements.txt, update the server name and description in src/server.py, and add your own service configuration and client. Configure VS Code by adding an MCP server entry in settings.json using the stdio transport and the specified environment variables.
The server requires Python 3 and the packages listed in `requirements.txt`. It uses the FastMCP library and runs via stdio.
The template expects an API key stored in the environment variable `SERVICE_API_KEY`. The key is passed in the VS Code MCP configuration as a promptString input.
The server communicates with VS Code using the stdio transport, as configured in the VS Code `settings.json` MCP entry.
The README does not mention specific limitations; the template is a starting point for custom servers and does not include built-in tools.
Configuration is loaded from environment variables (e.g., `SERVICE_API_KEY`, `SERVICE_ENDPOINT`, `SERVICE_TIMEOUT`, `LOG_LEVEL`) and validated with Pydantic models at startup.

ArtiBot Cloud MCP (Zhijiangyun 智匠云) — cloud MCP server for robot manipulation data & GPU workloads. 15 tools: robot fleet management, data collection & video recording, post-processing pipelines, and benchmark evaluation

Agent-Native Terminal

Catch intent conflicts before code conflicts. The open-source coordination protocol for coding agents, built above Git.
Query your team's drift, vulnerability, and migration data from any AI assistant. Vibgrate MCP connects Cursor, Claude, ChatGPT, Windsurf, or VS Code to Vibgrate Cloud: 51 tools for DriftScores, CVEs and EOL runtimes, up

Collide is the multiplayer layer for AI coding agents, and it pays for itself. Expert orchestration across every agent on your repo saves teams tens to hundreds of dollars a day in token burn. Run Claude Code, Codex, Cu
コメント