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Deadends Dev

@dbwls99706

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Deadends Dev について

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

#error-handling#debugging#mcp#ai-agent#python#docker#kubernetes#troubleshooting

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

dbwls99706

投稿者

YuJin Hong

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "deadend": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli@latest",
        "run",
        "deadend/deadends-dev"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Deadends Dev?

Deadends Dev is an MCP server that provides a database of known errors and dead ends for AI agents, covering both code failures and country-specific real-world rules. It helps agents avoid repeating known failures by offering deterministic, community-validated advice.

How to use Deadends Dev?

Install via pip with pip install deadends-dev, then invoke commands like deadends "error message". For MCP integration, add the server configuration to ~/.claude/claude_desktop_config.json or install via Smithery. The server provides 11 tools accessible via MCP clients.

Key features of Deadends Dev

  • Deterministic answers with no hallucination
  • Country-scoped data using ISO alpha-2 codes
  • Primary-sourced from government and verifiable sources
  • Community-validated fix success rates
  • Sub-millisecond local regex matching
  • Over 2,200 canon entries across 54 domains

Use cases of Deadends Dev

  • Prevent agents from trying sudo pip install that fails 70% of the time
  • Avoid AI advice to tip in Japan where tipping is culturally refused
  • Flag legal risks like Article 112 lèse-majesté in Thailand
  • Handle error transitions where one fix triggers another error
  • Stop agents from suggesting public displays of affection in UAE

FAQ from Deadends Dev

What makes Deadends Dev different from asking an LLM?

Deadends Dev provides deterministic answers (same query, same result) with no hallucination, country-scoped data, primary-sourced references, community-validated success rates, and sub-millisecond local response.

What are the practical limitations of Deadends Dev?

The dataset does not cover every error; missing cases can be added via issues, PRs, or the report_outcome tool. It prioritizes practical dead ends and workarounds over deep explanations. Reliability varies by domain and case; high-risk changes should be cross-verified with official sources.

How can I resolve "Unauthorized" errors when using the MCP server?

Common causes include wrong cwd path, running both local and remote (Smithery) modes simultaneously, or expired authentication. Ensure only one mode is active, verify the configuration file, and

コメント

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