Structured failure knowledge for AI agents — dead ends, workarounds, error chains
{
"mcpServers": {
"io-github-dbwls99706-deadends-dev": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Structured failure knowledge for AI agents — dead ends, workarounds, error chains
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Last commit 7 days ago.
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Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
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Dynamic problem-solving through sequential thought chains
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Stop AI agents from repeating known failures.
When AI coding agents hit an error, they waste tokens retrying approaches that are known to fail. deadends.dev gives agents instant access to what NOT to try, what actually works, and what error comes next — across 2,089 errors in 51 domains.
90% Precision@1 — the top lookup result matches the correct domain 9 out of 10 times. 0.935 MRR — correct results consistently rank first. See the full Data Quality Dashboard.
Website: deadends.dev · MCP Server: Smithery · PyPI: deadends-dev · API: /api/v1/index.json Repository: https://github.com/dbwls99706/deadends.dev
| Without deadends.dev | With deadends.dev |
|---------------------|-------------------|
| Agent tries sudo pip install → breaks system Python → wastes 3 retries | Agent sees "dead end: sudo pip — fails 70%" → skips it immediately |
| Agent googles, reads Stack Overflow, tries 4 approaches | Agent gets the 95%-success workaround on the first call |
| Agent fixes error A, gets confused by error B | Agent knows "A leads to B 78% of the time" → handles both |
What makes this different from asking an LLM?
report_outcome로 빠르게 보완합니다.pip install deadends-dev
deadends "CUDA error: out of memory"
Add to ~/.claude/claude_desktop_config.json:
{
"mcpServers": {
"deadend": {
"command": "python",
"args": ["-m", "mcp.server"],
"cwd": "/path/to/deadends.dev"
}
}
}
Or install via Smithery (no local setup):
npx -y @smithery/cli@latest install deadend/deadends-dev --client claude
Unauthorized 빠른 해결 가이드 (사람용)deadend: calling "initialize": sending "initialize": Unauthorized 에러가 보이면 아래를 순서대로 그대로 실행/확인하세요.
# 로컬 서버 확인 (정상 시 툴 목록이 출력됨)
python -m mcp.server --help
cwd는 실제 경로여야 함)cat ~/.claude/claude_desktop_config.json
cd /path/to/deadends.dev
python -m mcp.server
npx -y @smithery/cli@latest uninstall deadend/deadends-dev --client claude
npx -y @smithery/cli@latest install deadend/deadends-dev --client claude
# macOS 예시
osascript -e 'quit app "Claude"'
open -a Claude
팁:
Unauthorized는 보통 잘못된cwd, 중복 서버 설정(로컬+원격 동시