What MCP transport does Dart MCP Server use?
Dart MCP Server uses the stdio transport.
@jmanhype
基本信息
A Model Context Protocol server implementation for Dart task management system
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"dart-mcp-server-jmanhype": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@jmanhype/dart-mcp-server",
"--client",
"claude"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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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