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Firecrawl Docs vs OpenAI Docs MCP server
Verdict from our tests: OpenAI Docs passed more of our tasks (7 of 7) than Firecrawl Docs (5 of 6). Both are in our documentation and docs search category.
| Firecrawl Docs | OpenAI Docs | |
|---|---|---|
| Overall | Partial | Works |
| Tasks passed | 5 of 6 | 7 of 7 |
| Sign-in | None | None |
| Median task time | 316 ms | 284 ms |
| Slowest task | 1.1 s | 482 ms |
| Gotchas | 2 | 1 |
| Date tested | Oct 16, 2026 | Oct 16, 2026 |
Firecrawl Docs: task by task
- Works connect (no auth) (547 ms)
- Works list tools (316 ms)
- Works search docs ("crawl with includePaths") (1.1 s)
- Works browse docs filesystem (ls /) (162 ms)
- Partial search with nonsense query (751 ms)
- Works error handling (number as query) (90 ms)
Firecrawl Docs gotchas
- Search results are large (about 44 KB for one query).
- A nonsense query still returns unrelated docs instead of an empty result, so an agent cannot tell "nothing found" from a weak match.
Set up Firecrawl Docs: Claude | Claude Code | Cursor | VS Code | ChatGPT
OpenAI Docs: task by task
- Works connect (no auth) (482 ms)
- Works list tools (186 ms)
- Works search docs ("Responses API streaming") (320 ms)
- Works fetch a doc (Responses API streaming guide) (290 ms)
- Works list API endpoints (67 ms)
- Works search with nonsense query (284 ms)
- Works error handling (missing url) (47 ms)
OpenAI Docs gotchas
- list_api_endpoints returns about 25 KB of paths in one call.
Set up OpenAI Docs: Claude | Claude Code | Cursor | VS Code | ChatGPT
Best MCP servers for documentation and docs search | All tested connectors