Built and shipped this to the official MCP registry + Glama A-tier. Sharing the install + architecture in case it’s useful in your Claude Code setup. INSTALL Drop into ~/.claude/mcp.json (or your CC settings): { “mcpServers”: { “vc-deal-flow-signal”: { “command”: “npx”, “args”: [“-y”, “@gitdealflow/mcp-signal”] } } } Restart Claude Code. The 5 tools below show up. WHAT YOUR CC AGENT GETS
- get_trending_startups — top startups by engineering acceleration this week
- search_startups_by_sector — filter by AI, fintech, healthcare, etc. (20 sectors)
- get_startup_signal — deep profile on any tracked startup
- get_signals_summary — dataset overview
- get_methodology — false-positive rate, sample frame, limits ARCHITECTURE
- TypeScript, ~250 lines, stdio transport
- Streams from a Vercel-hosted JSON API with no auth (60 req/min)
- Anonymous opt-out telemetry (MCP_TELEMETRY_DISABLED=1)
- npm package: ~5 KB install THE DATASET GitHub commit velocity across ~4,200 startup orgs, weekly refresh. Methodology paper at ssrn.com/abstract=6606558 (false-positive rate ~35-40% at the org level so it’s a ranking signal not a predictor). WHY IT’S USEFUL FOR CC If you point CC at “find me three early-stage AI infra startups shipping fast this month” the subagent now has live data instead of stale training. Useful for VC-curious devs, scout work, competitive intel, or feeding multi-agent workflows. Source: github.com/kindrat86/mcp-deal-flow-signal npm: npmjs.com/package/@gitdealflow/mcp-signal Happy to walk through the build or the dataset. submitted by /u/Worth_Wealth_6811
Originally posted by u/Worth_Wealth_6811 on r/ClaudeCode
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