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Helps you quickly build a PyPI-publishable MCP service project.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Project TTV MCP" yet — see the docs or source repo.
Based on Project TTV MCP, generate a suggested scaffold for a PyPI-publishable MCP service project.
Outputs a project structure, core files, and naming suggestions.
Please list the key things to check before publishing this MCP starter project to PyPI.
Outputs a pre-release checklist.
For developers who want to start a new MCP service quickly. It provides a starter project as a foundation.
For teams that want to distribute an MCP service as a Python package. The project is explicitly designed to be publishable to PyPI.
It is a starter project for an MCP service. The description states that it can be published to PyPI and run using UV.
The provided information only says it can be run using UV; no other prerequisites are given.
Scaffold and manage MCP-compatible server projects with environments and tooling.
Run terminal commands, execute Python, and manage files for local automation.
Serve project info markdown to MCP clients for reading, summarizing, and Q&A.
Build a starter MCP server with inventory tools and safe human confirmation.
Analyze codebases and generate AI-ready configs for faster project customization.
Learn MCP setup and development workflows with FastMCP and uv.