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DeepWiki vs LangChain Docs MCP server
Verdict from our tests: DeepWiki passed more of our tasks (6 of 6) than LangChain Docs (5 of 6). Both are in our documentation and docs search category.
| DeepWiki | LangChain Docs | |
|---|---|---|
| Overall | Works | Partial |
| Tasks passed | 6 of 6 | 5 of 6 |
| Sign-in | None | None |
| Median task time | 182 ms | 182 ms |
| Slowest task | 14.7 s | 496 ms |
| Gotchas | 4 | 2 |
| Date tested | Oct 16, 2026 | Oct 16, 2026 |
DeepWiki: task by task
- Works connect (no auth) (687 ms)
- Works list wiki structure (modelcontextprotocol/typescript-sdk) (182 ms)
- Works ask a question (connect a client to Streamable HTTP) (14.7 s)
- Works read full wiki (vercel/next.js) (1.0 s)
- Works unknown repo (168 ms)
- Works error handling (malformed args) (91 ms)
DeepWiki gotchas
- Answers are good but slow: about 15 s for one question. Set a generous tool timeout.
- read_wiki_contents returns the whole wiki in one response (about 1 MB for next.js). That will blow past most context windows. Use read_wiki_structure or ask_wiki_question instead.
- Unindexed repos return an error that points you to deepwiki.com to index them first.
- Validation errors are raw Pydantic output with links to errors.pydantic.dev, which is noisy for an agent to read.
Set up DeepWiki: 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