Anyone using Context7 MCP to avoid outdated docs in Claude?
I’ve been running into the same issue repeatedly when using Claude for coding: the model knows the concept, but the docs it references are slightly outdated or version-mismatched.
Context7 MCP seems to solve this by pulling documentation directly from official sources instead of relying on training data.
I’ve seen a lot of people mention it as one of the few MCPs that’s actually “always on” and worth the context cost — especially compared to search-based MCPs.
I started documenting MCPs (including Context7) with setup steps and usage notes so I don’t have to re-discover this every time.
Curious: - Are you using Context7 regularly? - Does it noticeably improve accuracy for you? - Any downsides you’ve run into?
(If helpful, I’ve written up the setup + notes here: https://ai-stack.dev) I have it installed as official Claude Code plugin so it is always on now. No downsides detected so far. Haven't had much issues with library version mismatches lately, but can't be sure it is due to Context 7. I've noticed the same. The official plugin integration removes friction, but I still manually toggle it for beta APIs or very recent changes where the indexed docs lag. For stable libraries, it's been reliable.