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deadends.dev MCP Server

@dbwls99706

代码仓库主页

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

dbwls99706

提交者

YuJin Hong

关于 deadends.dev MCP Server

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

#error-handling#debugging#mcp#ai-agent#python#docker#kubernetes#aws#typescript#rust

deadends.dev MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

deadends.dev MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is deadends.dev?

deadends.dev is a deterministic, country-scoped knowledge base that stops AI agents from repeating known failures in code and the real world. It covers 2,089 code error entries across 51 domains and 250+ country-scoped dead ends across 52 countries, including visa rules, legal red lines, cultural taboos, and emergency numbers.

How to use deadends.dev?

Install via pip (pip install deadends-dev) and run deadends "error message" from the command line. Alternatively, integrate as an MCP server for Claude Desktop, Cursor, or Antigravity (remote HTTP) via configuration files or Smithery. Use the Python SDK with lookup, batch_lookup, and search functions for programmatic access.

Key features of deadends.dev

  • 90% Precision@1 and 0.935 MRR benchmark
  • 2,204 canon entries across 54 domains and 39+ countries
  • 11 MCP tools: lookup_error, get_error_detail, batch_lookup, etc.
  • Deterministic, sub-millisecond local regex matching (no API roundtrip)
  • Community-validated success rates that feed back into data
  • Primary-sourced country canons citing government sites and embassies

Use cases of deadends.dev

  • AI agent avoids known-failed code fixes (e.g., CUDA OOM, ModuleNotFoundError)
  • Agent skips incorrect country-specific advice (e.g., tipping in Japan, public affection in UAE)
  • Agent handles error chains (e.g., error A leads to error B 78% of the time)
  • Agent checks visa rules, legal red lines, and cultural taboos by country
  • Agent queries emergency numbers, driving norms, and food safety per jurisdiction

常见问题

1

What makes deadends.dev different from asking an LLM directly?

It is deterministic (same query, same answer, no hallucination), country-scoped (ID format includes country code), primary-sourced, community-validated, and sub-millisecond local matching.

2

How do I install and run deadends.dev?

Run `pip install deadends-dev` then `deadends "error message"` on the command line. For MCP integration, add the server config to `~/.claude/claude_desktop_config.json` or install via Smithery.

3

Are there any limitations?

Not all errors are covered; missing cases can be added via issues/PRs or `report_outcome`. The system prioritizes practical workarounds over deep explanations. High-risk changes should be cross-verified with official documentation.

4

How do I resolve an "Unauthorized" error when using the MCP server?

Ensure you are using only one mode (local or remote), check that `cwd` in the config points to the actual path, test the local server directly, and if using Smithery, reinstall the server. Restart Claude Desktop afterwards.

5

What API endpoints are available?

Endpoints include `/api/v1/match.json`, `/api/v1/index.json`, per-country JSON, stats, NDJSON streaming, and OpenAPI 3.1 spec. All are accessible via the public API at `deadends.dev`.

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