What MCP transport does Dart MCP Server use?
Dart MCP Server uses the stdio transport.
@jmanhype
基本情報
A Model Context Protocol server implementation for Dart task management system
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": {
"dart-mcp-server-jmanhype": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@jmanhype/dart-mcp-server",
"--client",
"claude"
]
}
}
}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。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
Dart MCP Server bridges the Dart project management platform to AI assistants by exposing task, document, space, and dartboard operations as MCP tools. It is written in TypeScript but delegates all Dart API calls to a Python subprocess using the dart-sdk package.
Install via Smithery (npx -y @smithery/cli install @jmanhype/dart-mcp-server --client claude) or manually by cloning the repository, running npm install (which also sets up the Python virtualenv and installs dart-sdk), then npm run build and npm start. Set the DART_TOKEN environment variable with your Dart API token.
PYTHON_PATH environment variableDart MCP Server uses the stdio transport.
Node.js >= 16.0.0, Python >= 3.8.0, the `dart-sdk` Python package, and the `@modelcontextprotocol/sdk` npm package.
Each MCP tool handler builds a Python script as a string, spawns `python3 -c "<script>"`, and parses the JSON output from stdout. A new Python process is spawned for every tool call.
Every tool call spawns a new Python process, the `.env` path is hardcoded to `/Users/speed/dart-tools/.env`, there is no input validation beyond the Dart SDK, no pagination for list operations, and error messages from the Python subprocess are passed through as-is.
Set the `DART_TOKEN` environment variable with your Dart API token (obtained from your Dart profile). Optionally, set `PYTHONPATH` or `PYTHON_PATH` if the Dart SDK is not in the default location.

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