Exposes 11 tools that look up structured failure knowledge across 2,000+ code errors and country-specific dead ends. You get back regex-matched patterns showing what not to try (with failure rates), what works (with success rates), and error chains that predict downstream failures. Useful when you want an agent to skip known-bad fixes like sudo pip or avoid cultural missteps like tipping in Tokyo. Also includes batch lookup, domain stats, and outcome reporting to feed real results back into the dataset. The full canon pulls from government sources for country rules and community validation for code fixes. Python SDK available, or call the JSON API directly at deadends.dev/api/v1.
claude mcp add --transport stdio dbwls99706-deadends.dev -- uvx deadends-dev