devcrumb
Provides AI coding tools with a shared knowledge base of real-world fixes and gotchas, verified by usage, to stop debugging errors others already solved.
README
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.
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.
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:
- Set up Postgres + pgvector + PostgREST on any server
- Run
sql/schema.sqlto create the schema - Deploy the Worker to your Cloudflare account
- 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) - Create a GitHub OAuth App pointing to your Worker URL
- 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
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.