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Context7 vs LangChain Docs MCP server
Verdict from our tests: Context7 passed more of our tasks (6 of 6) than LangChain Docs (5 of 6). Both are in our documentation and docs search category.
| Context7 | LangChain Docs | |
|---|---|---|
| Overall | Works | Partial |
| Tasks passed | 6 of 6 | 5 of 6 |
| Sign-in | None | None |
| Median task time | 204 ms | 182 ms |
| Slowest task | 1.7 s | 496 ms |
| Gotchas | 1 | 2 |
| Date tested | Oct 16, 2026 | Oct 16, 2026 |
Context7: task by task
- Works connect (no auth) (439 ms)
- Works resolve library ID ("next.js") (1.3 s)
- Works query docs (/vercel/next.js generateMetadata) (1.7 s)
- Works resolve unknown library (204 ms)
- Works query unknown library ID (141 ms)
- Works error handling (malformed args) (34 ms)
Context7 gotchas
- Two calls are needed for most questions: resolve-library-id first, then query-docs with the returned ID.
Set up Context7: Claude | Claude Code | Cursor | VS Code | ChatGPT
LangChain Docs: task by task
- Works connect (no auth) (427 ms)
- Works list tools (182 ms)
- Works search docs ("LangGraph checkpointer") (467 ms)
- Works browse docs filesystem (ls /) (114 ms)
- Partial search with nonsense query (496 ms)
- Works error handling (number as query) (78 ms)
LangChain Docs gotchas
- Search results are large (about 52 KB for one query).
- A nonsense query returned about 108 KB of unrelated docs instead of an empty result.
Set up LangChain Docs: Claude | Claude Code | Cursor | VS Code | ChatGPT
Best MCP servers for documentation and docs search | All tested connectors