kindrat86/mcp-deal-flow-signal

Search startup engineering acceleration signals directly from your AI assistant.
> Glama A-Tier (4.9 / 5.0). 13 tools — 10 free, no API key. One-line install for Claude Desktop, Claude Code, Cursor, Cline, and Continue via npx -y @gitdealflow/mcp-signal.
Tracks commit velocity, contributor growth, and repository expansion across 15 sectors and 350+ startups. Built for angels, scouts, and technical operators looking for traction signals before they show up in traditional deal flow.
Install
Add to your Claude Desktop config (claude_desktop_config.json):
Or for Claude Code (.mcp.json in project root):
Tools
All tools are read-only, idempotent, and fetch live data from the public API (no auth required). Responses include both human-readable text and structured JSON (structuredContent) matching each tool's outputSchema.
**Free tools (10) — no API key, no account:**
| Tool | Input | Returns |
|---|---|---|
| get_trending_startups | — | Top 20 startups ranked by engineering acceleration across all sectors. |
| search_startups_by_sector | sector (enum of 15 slugs) | All tracked startups in the sector, ranked by acceleration. |
| get_startup_signal | name (case-insensitive) | Full signal profile for one startup: velocity, contributors, repos, classification. |
| get_signals_summary | — | Dataset snapshot — period, counts, refresh date, format URLs, citation. |
| get_methodology | — | How signals are sourced, computed, and classified, with known limitations. |
| shortlist_signals | filters (sector, stage, geography, signal type) | Ranked shortlist of the strongest engineering-acceleration signals matching your filters. |
| compare_signals | 2–5 startup names | Side-by-side acceleration scores, evidence, and raise-likelihood for the named startups. |
| predict_funding | name | Transparent, scored funding-likelihood claim with the full evidence chain, citable. |
| get_diligence_dossier | company/entity name | Public-source diligence dossier in one cited object — M&A history, funding, key facts. |
| get_scout_receipts | GitHub username | Scout Score (0–100) computed from public starring history, cross-referenced against tracked startups. |
**Paid agent tools (3) — €0.10 per call, credits at signals.gitdealflow.com/agents/credits:**
| Tool | Returns |
|---|---|
| research_company | Enriched dossier for one tracked startup: full signal row, sector rank, top-5 sector peers, citation. |
| compose_thesis | Structured investment thesis: snapshot, signal type, sector rank, data-derived strengths, peer comparables. |
| deep_dive_scan | Multi-cohort sector scan: tracked/breakout/cooling counts, top-10 by velocity, breakout and cold lists. |
The hosted remote endpoint (https://signals.gitdealflow.com/api/mcp/rpc, streamable-http) additionally exposes share_result (free) and get_deep_signal (€0.19/call).
**Supported sectors:** healthcare, edtech, ecommerce-infrastructure, supply-chain, web3, enterprise-saas, data-infrastructure, robotics, legal-tech, hr-tech, proptech, agtech, gaming, space-tech, social-community.
Data
All data is sourced live from the deal flow data API public API. No API key required. Updated weekly on Mondays.