What platforms does MCP-Agg support?
It currently supports GitHub (list repos, manage issues/PRs, access user profiles) and Slack (list channels, post messages, reply to threads, add reactions, access channel history, retrieve user profiles).
@moosh3
基本情報
Aggregate MCP server
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-agg": {
"command": "uv",
"args": [
"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。
MCP-Agg is a unified API service that provides consistent access to multiple tools and platforms, including GitHub and Slack, through a single interface. It is designed for developers and teams seeking workflow automation and enhanced productivity by integrating various services.
Install Python 3.12+, PostgreSQL, and the uv package manager. Clone the repository, create a virtual environment, install dependencies, copy .env.example to .env, and run alembic upgrade head. Start the service with uvicorn api.main:app --reload --port 8000 (development) or docker-compose up -d (Docker). Register and log in, connect your accounts for each supported platform, generate an MCP URL from the endpoint, and use it in your MCP client configuration.
It currently supports GitHub (list repos, manage issues/PRs, access user profiles) and Slack (list channels, post messages, reply to threads, add reactions, access channel history, retrieve user profiles).
Python 3.12 or higher, a PostgreSQL database, and the uv package manager are required.
Start the application with `uvicorn api.main:app --host 0.0.0.0 --port 8000` or use `docker-compose up -d` for a containerized setup.
Run tests using `python -m pytest` and generate coverage reports with `python -m pytest --cov=api`.
Register and log in, connect your platform accounts (GitHub, Slack, etc.), navigate to the MCP URL generator endpoint, and use the generated URL in your MCP client configuration.
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