How ToolCairn Works
A 4-stage search pipeline combining hybrid search, graph intelligence, and AI clarification to find the right tool every time.
Hybrid Search
BM25 + Vector
Cast a wide net across 12,000+ tools using keyword and semantic search in parallel.
Graph Re-ranking
Relationship Intelligence
Leverage relationship data — integrations, alternatives, and ecosystem signals — to re-rank candidates.
Clarification
Ask the Right Questions
When the query is ambiguous, ask targeted questions to narrow down the perfect match.
Final Selection
Pick the Best
Select the top 1–2 tools with confidence scores, reasons, and documentation links.
Add ToolCairn to any MCP-compatible AI agent (Claude, Cursor, VS Code Copilot) with a single config block:
{
"mcpServers": {
"toolcairn": {
"command": "npx",
"args": ["@neurynae/toolcairn-mcp"]
}
}
}ToolCairn is fully open source. The entire platform — MCP server, search engine, graph database, indexer, and web interface — is available on GitHub.