What dependencies are required to run Goodday Mcp?
Python 3.10 or higher and a Goodday API token (set as the `GOODDAY_API_TOKEN` environment variable). The server can be installed via pip or run from source using UV.
@cdmx-in
基本情報
Goodday‑MCP is a lightweight Model Context Protocol (MCP) server designed to seamlessly integrate with the Goodday project management platform via its API v2. It enables querying of projects, tasks, and users—without altering any data—making it ideal for secure context-aware appl
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": {
"goodday": {
"command": "goodday-mcp",
"env": {
"GOODDAY_API_TOKEN": "your_goodday_api_token_here"
}
}
}
}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。
Goodday Mcp is a Model Context Protocol (MCP) server that integrates with the Goodday project management platform via its API v2. It provides tools for managing projects, tasks, and users. It is designed for developers using MCP-compatible clients such as Claude Desktop or custom chat interfaces.
Install the package via pip install goodday-mcp (or from source), set the GOODDAY_API_TOKEN environment variable, then run goodday-mcp to start the server. For Claude Desktop, add the server configuration to claude_desktop_config.json. For other MCP clients, the server communicates over stdio transport.
Python 3.10 or higher and a Goodday API token (set as the `GOODDAY_API_TOKEN` environment variable). The server can be installed via pip or run from source using UV.
All project, task, and user data remains on Goodday’s servers. The MCP server only acts as a proxy; it does not store any data locally.
The server uses stdio (standard input/output) transport, which is the standard for MCP servers. It can be integrated with any MCP‑compatible client.
Authentication is handled via an API token. Obtain the token from Goodday Settings → API, then export it as `GOODDAY_API_TOKEN`. The server will read it at startup.
The README does not list explicit limitations beyond the capabilities described. Error messages are returned for missing or invalid tokens, network issues, missing parameters, or permission failures.
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
A curated list of references for MLOps

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.

Model Context Protocol Servers
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct
コメント