Checklist.Day Registry
Pull vetted Python AI/ML import patterns, quickstarts, and footgun notes into the agent while you scaffold models, RAG, or training scripts.
Overview
checklist.day Registry is a MCP server for the Build phase that exposes a registry of Python AI/ML libraries with imports, quickstarts, and documented footguns over SSE.
What is this MCP server?
- 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
- Remote SSE URL https://mcp.checklist.day/sse
- Server version 1.0.0
- Website https://checklist.day
What problem does it solve?
Agents guess wrong package names, deprecated APIs, and copy-paste snippets that fail on first run, wasting hours on trivial ML setup mistakes.
Who is it for?
Solo builders shipping Python-based LLM, RAG, or ML features who want agent answers tied to a maintained library checklist.
Skip if: Teams building only TypeScript frontends or non-Python stacks with no ML dependencies.
What do I get? / Deliverables
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
Recommended MCP Servers
Journey fit
Build is the primary shelf because the registry answers “how do I wire this library correctly?” during implementation, not during initial market research. Backend fits ML and data-code setup where import paths, API versions, and starter snippets matter before you ship inference or training jobs.
How it compares
Remote reference MCP registry, not a model host or training platform.
Common Questions / FAQ
Who is checklist.day for?
Python-focused indie 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.