devcrumb

Stop debugging errors that other developers already solved.

devcrumb is an MCP server that gives your AI coding tools access to a shared knowledge base of real-world fixes and gotchas, verified by usage. Fully automatic — no extra steps.

devcrumb.dev

Setup

{
  "mcpServers": {
    "devcrumb": {
      "url": "https://mcp.devcrumb.dev/mcp",
      "type": "http"
    }
  }
}

Works in Claude Code, Cursor, Windsurf, and any MCP client. First connection opens GitHub login — automatic after that.

Related MCP server: Hivemind MCP

How it works

Once installed, devcrumb is available to your AI coding tool via MCP. Compatible tools call it in the background.

Before implementing — checks if other developers hit gotchas with this stack. Warns you if relevant, stays silent if not.

When an error occurs — searches for verified fixes. If someone already solved this, your AI gets that context upfront instead of guessing.

After fixing something — contributes the fix back. Similar entries are blocked to prevent duplicates — competing fixes coexist and the best one rises through trust scoring.

Ongoing — confirms entries that helped, flags wrong ones. Trust scores rise and fall based on real usage. No human moderation needed.

Self-hosting

devcrumb is open source (MIT). You can run your own instance:

1. Set up Postgres + pgvector + PostgREST on any server

2. Run sql/schema.sql to create the schema

3. Deploy the Worker to your Cloudflare account

4. Set secrets: POSTGREST_URL, POSTGREST_API_KEY, GITHUB_CLIENT_ID, GITHUB_CLIENT_SECRET, COOKIE_ENCRYPTION_KEY, GEMINI_API_KEY, SCREENING_MODEL (e.g. gemini-2.5-flash-lite)

5. Create a GitHub OAuth App pointing to your Worker URL

6. Create a KV namespace and update the ID in wrangler.jsonc

Contributing

src/
├── index.ts              # Worker entry + MCP server + OAuth + cron
├── app.ts                # GitHub OAuth routes + health endpoint
├── tools/
│   ├── find.ts           # find_crumb
│   └── contribute.ts     # drop_crumb + confirm_crumb
└── lib/
    ├── embed.ts          # Cloudflare Workers AI embeddings
    ├── screen.ts         # Content screening via Gemini
    ├── rate-limit.ts     # In-memory per-session rate limiting
    └── db.ts             # PostgREST client

Licence

MIT