Pulls engineering velocity signals from a curated set of 85+ startups across 20 sectors, surfacing commit activity, contributor growth, and repo expansion as early traction indicators. You get five read-only tools: query trending startups globally, filter by sector (AI/ML, fintech, climate tech, etc.), look up a specific startup's signal profile, grab a dataset summary, or fetch the methodology. All data comes live from a public API updated weekly. Useful when you're sourcing deals and want GitHub activity as a leading indicator before cap tables and pitch decks arrive. The same dataset powers a prediction game and two Chrome extensions for Crunchbase and GitHub if you want the signals in other contexts.
Public tool metadata for what this MCP can expose to an agent.
get_trending_startupsTop 20 startups by engineering acceleration across all 20 sectors for the current weekly period. Read-only, idempotent.Top 20 startups by engineering acceleration across all 20 sectors for the current weekly period. Read-only, idempotent.
No parameter schema in public metadata yet.
search_startups_by_sectorEvery tracked startup within a sector, ranked by engineering acceleration. Sector slug must be one of 20 enumerated values.1 paramsEvery tracked startup within a sector, ranked by engineering acceleration. Sector slug must be one of 20 enumerated values.
sectorstringai-ml · fintech · cybersecurity · developer-tools · healthcare · climate-techget_startup_signalFull engineering-acceleration profile for a single tracked startup, by display name or GitHub org slug. Case-insensitive, normalization-tolerant.1 paramsFull engineering-acceleration profile for a single tracked startup, by display name or GitHub org slug. Case-insensitive, normalization-tolerant.
namestringget_signals_summaryPeriod, sector and startup counts, last refresh, citation, and direct URLs to every machine-readable format.Period, sector and startup counts, last refresh, citation, and direct URLs to every machine-readable format.
No parameter schema in public metadata yet.
get_scout_receiptsCompute a Scout Score (0-100) for a GitHub user from their public starring history. Cross-references starred repos against ~75 validated unicorns and grades how many they starred *before* the validation event. Returns score, rank (curious/scout/sharp/elite/oracle), top early c...1 paramsCompute a Scout Score (0-100) for a GitHub user from their public starring history. Cross-references starred repos against ~75 validated unicorns and grades how many they starred *before* the validation event. Returns score, rank (curious/scout/sharp/elite/oracle), top early c...
github_usernamestringget_methodologyFull methodology document covering data sources, metric computation, signal classification thresholds, refresh cadence, and known limitations.Full methodology document covering data sources, metric computation, signal classification thresholds, refresh cadence, and known limitations.
No parameter schema in public metadata yet.
get_deep_signalPAID per-request — €0.19/call, 100 credits = €19 at https://signals.gitdealflow.com/agents/credits. Returns enriched signal beyond the free get_startup_signal: composite score (0-100), velocity/growth/novelty sub-scores, in-sector rank + percentile, plain-English investment th...1 paramsPAID per-request — €0.19/call, 100 credits = €19 at https://signals.gitdealflow.com/agents/credits. Returns enriched signal beyond the free get_startup_signal: composite score (0-100), velocity/growth/novelty sub-scores, in-sector rank + percentile, plain-English investment th...
namestringshare_resultGenerate a ready-to-share social-media post (tweet, Bluesky, Mastodon, LinkedIn, Telegram) about a result the user just received from another VC Deal Flow Signal tool, plus the install command for the MCP server. Returns the post body, character counts per platform, and one-cl...3 paramsGenerate a ready-to-share social-media post (tweet, Bluesky, Mastodon, LinkedIn, Telegram) about a result the user just received from another VC Deal Flow Signal tool, plus the install command for the MCP server. Returns the post body, character counts per platform, and one-cl...
networkstringtwitter · bluesky · mastodon · linkedin · telegram · alldefault: allsummarystringmention_handlebooleanSearch startup engineering acceleration signals directly from your AI assistant.
Glama A-Tier (4.9 / 5.0 across 6 tools). 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 20 sectors and 85+ startups. Built for angels, scouts, and technical operators looking for traction signals before they show up in traditional deal flow.
Add to your Claude Desktop config (claude_desktop_config.json):
{
"mcpServers": {
"vc-deal-flow-signal": {
"command": "npx",
"args": ["-y", "@gitdealflow/mcp-signal"]
}
}
}
Or for Claude Code (.mcp.json in project root):
{
"mcpServers": {
"vc-deal-flow-signal": {
"command": "npx",
"args": ["-y", "@gitdealflow/mcp-signal"]
}
}
}
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.
| Tool | Input | Returns |
|---|---|---|
get_trending_startups | — | Top 20 startups ranked by engineering acceleration across all sectors. |
search_startups_by_sector | sector (enum of 20 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. |
Supported sectors: ai-ml, fintech, cybersecurity, developer-tools, healthcare, climate-tech, enterprise-saas, data-infrastructure, web3, robotics, edtech, ecommerce-infrastructure, supply-chain, legal-tech, hr-tech, proptech, agtech, gaming, space-tech, social-community.
All data is sourced live from signals.gitdealflow.com public API. No API key required. Updated weekly on Mondays.
If you want to put your own eye on the line, there's a prediction game on top of the same dataset at signals.gitdealflow.com/predict. Call which tracked startups raise a round in the next 6 months, earn points when your calls resolve, climb a public rank ladder from Curious to Oracle. Free tier: 3 predictions per month. Paid: 10 per month. Leaderboard: signals.gitdealflow.com/leaderboard.
Same dataset, different surfaces. Install one or both:
Both are free in perpetuity. Manifest V3, no analytics, no account.
MIT
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