Context7 vs mcpdoc (LangChain)
Both are up-to-date docs for coding MCP servers, and we ran both through the same test (docs fact, library lookup) in each app. Context7 passed 4 of 4 apps we tested it in; mcpdoc (LangChain) passed 0 of 3.
Test results side by side
| Context7 | mcpdoc (LangChain) | |
|---|---|---|
| Claude Code | Passed 2026-10-20 | Failed 2026-10-15 |
| Cursor | Passed 2026-10-20 | Failed 2026-10-15 |
| Claude Desktop | Passed 2026-10-18 | Not tested yet |
| ChatGPT (Codex) | Passed 2026-10-15 | Failed 2026-10-22 |
| Tools exposed (protocol check) | 2 tools | — |
| GitHub stars | 63,050 | 1,031 |
| License | MIT | MIT |
| Last push | 2026-10-14 | 2026-08-20 |
Results from our own harness runs, dated per cell. Stars and last push from GitHub at our last data refresh. We don’t pick a winner here: which one fits depends on your app and setup.
What each does
Context7: Pulls current, version-specific library docs into the agent's context so code suggestions match the real API.
mcpdoc (LangChain): Serves llms.txt documentation files you choose to your coding agent, so it reads the real docs. The maker archived the repo.
