Query a registry of Python AI/ML libraries to verify correct imports, find quickstart code, and learn known pitfalls. For developers integrating ML tools into projects.
io.github.kitxor/checklist-day
https://mcp.checklist.day/sse
SSE
No auth required
How models use it and what it is built for.
Query a registry of Python AI/ML libraries to verify correct imports, find quickstart code, and learn known pitfalls. For developers integrating ML tools into projects.
Hosted endpoint — paste into any MCP client.
Where to find authoritative docs and source for checklist.day Registry.
Paste any of these into Agent Studio after connecting checklist.day Registry.
Common questions about connecting and running checklist.day Registry.
What libraries does this registry cover?
The registry focuses on Python AI/ML libraries. It includes correct import statements, quickstart code snippets, and documented pitfalls for popular frameworks like PyTorch, TensorFlow, scikit-learn, and others.
How do I connect to this MCP server?
The server uses SSE (Server-Sent Events) transport and is hosted at https://mcp.checklist.day/sse. Configure your MCP client to connect to this endpoint.
Can I contribute new libraries or corrections to the registry?
The registry is maintained at io.github.kitxor/checklist-day. Check the repository for contribution guidelines or open an issue to suggest additions or corrections.
What's the difference between this and reading official documentation?
This registry curates the most common gotchas, correct import patterns, and working quickstart code in one place—saving time versus hunting through multiple docs and Stack Overflow threads.
Is there a cost to use this server?
The registry is hosted at a public endpoint. Check the repository or contact the maintainer for details on usage limits or any associated costs.
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