Checklist.Day Registry
- kitxor/ray-tracer
checklist.day Registry is a MCP server that exposes a registry of Python AI/ML libraries with imports, quickstarts, and documented footguns over SSE.
About
checklist.day Registry is a remote Model Context Protocol server that surfaces a structured catalog of Python AI and machine-learning libraries. When you are building agents, fine-tuning pipelines, or inference services, the server helps your assistant pick the right package imports, copy vetted quickstart code, and sidestep known pitfalls instead of hallucinating outdated APIs. It targets developers who iterate fast in Python and want checklist-grade accuracy without maintaining their own cheat sheets. Connect via the public SSE remote rather than a local stdio binary, which suits cloud-first MCP hosts that support remote servers. The canonical journey placement is Build/backend, though it also supports Validate prototypes and Operate iterations when you refactor ML dependencies.
- Curated registry of Python AI/ML libraries with correct imports
- Quickstart code snippets the agent can paste into your repo
- Documented footguns to avoid common misconfiguration mistakes
- Hosted SSE endpoint at https://mcp.checklist.day/sse (remote MCP)
- checklist.day website backs the catalog metadata
Checklist.Day Registry by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
claude mcp add --transport sse checklist-day https://mcp.checklist.day/sseAdd your badge
Show developers this MCP server is listed on Skillselion. Paste this into your README.
| Transport | SSE |
|---|---|
| Auth | None |
| Repository | kitxor/ray-tracer ↗ |
What it does
Pull vetted Python AI/ML import patterns, quickstarts, and footgun notes into the agent while you scaffold models, RAG, or training scripts.
Who is it for?
Best when you're shipping Python-based LLM, RAG, or ML features and want agent answers tied to a maintained library checklist.
Skip if: Skip if you're building only TypeScript frontends or non-Python stacks with no ML dependencies.
What you get
After you connect the checklist.day MCP remote, your agent can ground library choices in registry entries with working quickstarts and explicit footgun warnings.
- Agent-grounded library import and quickstart guidance
- Footgun-aware answers when scaffolding Python ML code
By the numbers
- Remote SSE URL https://mcp.checklist.day/sse
- Server version 1.0.0
- Website https://checklist.day
Recommended MCP Servers
0Latency MemoryPersistent memory layer for AI agents.
0nMCP — Universal AI API OrchestratorUniversal AI API Orchestrator — 1,554 tools, 96 services.
0xHumans Protocol MCPMCP for AI agents: financing, skills, lending on Base1k Patient Mcp1k patient MCP server
1trippulse1trip PULSE: 21-tool AI travel planner.
3D AI Agent Avatar3D AI Agent Avatar — render any GLB, give it a Solana wallet, a voice, and pump.fun powers.89How it compares
Remote reference MCP registry, not a model host or training platform.
FAQ
Who is checklist.day for?
Python-focused developers and agent users who need trustworthy AI/ML library guidance while coding, not a generic web search dump.
When should I use checklist.day?
Use it when starting or refactoring Python ML code—choosing libraries, writing imports, or following quickstarts—and you want footguns called out before you run pip install.
How do I add checklist.day to my agent?
Register the remote MCP server URL https://mcp.checklist.day/sse (SSE transport) in your client’s MCP settings per checklist.day docs, then enable the tools in your session.