Enterprise DNAEnterprise DNA
MMCP Serverslow

dbwls99706/deadends.dev

by Various

Structured failure knowledge infrastructure for AI agents — dead ends, workarounds, and error transition graphs.

Visit siteSubmit your build →

MCP

dbwls99706/deadends.dev

Added 8 Sept 2026

#ai-agent#ai-tools#dead-end#debugging#developer-tools#docker#error-database#error-handling
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

A Python-based infrastructure for capturing and structuring failure knowledge for AI agents. It models dead ends, workarounds, and error transitions as graphs, enabling agents to avoid repeated mistakes and recover from failures.

Best for

Best for
Developers building AI agents that need to learn from past failures.

Use cases

  • Track known dead ends in agent workflows
  • Document workarounds for common errors
  • Build error transition graphs for debugging agent behavior

How to use

Install

npx -y @smithery/cli@latest install deadend/deadends-dev --client claude

Tools exposed

  • lookup_error
  • get_error_detail
  • list_error_domains
  • search_errors
  • list_errors_by_domain
  • list_errors_by_country
  • get_country_summary
  • batch_lookup
  • get_domain_stats
  • get_error_chain
  • report_outcome
  • food-safety

Clients listed in this record (not verified here)

Claude Desktop, Cursor

Notes

0 stars on GitHub. Last updated 2026-09-08. Licensed MIT.

Pros

  • Structured approach to failure knowledge
  • Graph-based representation clarifies error paths
  • Useful for improving AI agent reliability

Cons

  • No stars or community traction yet
  • Limited documentation or examples implied by early stage
  • Python-only, may require integration effort

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

← Back to MCP ServersSubmit your own entry →