Startup Ecosystem Intelligence MCP Server
Pricing
from $400.00 / 1,000 full deal memos
Startup Ecosystem Intelligence MCP Server
VC deal sourcing MCP wrapping 8 actors. Innovation velocity scoring, hiring signal decoding, competitive moat analysis, corporate verification, technology trend tracking. Pay-per-event.
Pricing
from $400.00 / 1,000 full deal memos
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ryan clinton
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VC deal sourcing and startup due diligence intelligence via MCP. Orchestrates 8 data sources for innovation velocity scoring, hiring signal decoding, competitive moat analysis, corporate structure verification, and technology trend tracking.
Tools
| Tool | Price | Description |
|---|---|---|
discover_startups | $2.00 | Discover startups in a technology area via patents, GitHub, and corporate registries |
assess_innovation_velocity | $2.00 | Score innovation velocity from patents + GitHub + ArXiv activity |
decode_hiring_signals | $2.00 | Decode hiring signals — role mix reveals strategy direction |
analyze_competitive_moat | $2.00 | Analyze competitive moat via technology, IP, and market positioning |
verify_corporate_structure | $2.00 | Verify corporate registration and officer/director data |
track_technology_trends | $2.00 | Track emerging technology trends from research and patent data |
benchmark_against_cohort | $2.00 | Benchmark startup metrics against comparable cohort |
generate_deal_memo | $5.00 | Comprehensive deal memo with Innovation Velocity Score |
Data Sources
- OpenCorporates — Corporate registration verification
- USPTO Patent Search — US patent portfolio and filing velocity
- EPO Patent Search — European patent data
- GitHub Repo Search — Open source activity and engineering culture indicators
- Tech Stack Detector — Technology choices and modernity
- Job Market Intelligence — Hiring patterns and role distribution
- ArXiv Preprint Search — Pre-publication research activity
- SaaS Competitive Intelligence — SaaS market positioning and feature comparison
Scoring Models
- Innovation Velocity Score (0-100): Patents filed + GitHub activity + ArXiv publications, normalized by company age and size
- Hiring Signal Decoder: Role mix analysis — heavy ML hiring = AI pivot, sales hiring = growth stage, etc.
- Competitive Moat Analyzer: IP breadth + technology uniqueness + GitHub community + hiring differentiation
- Corporate Registration Health Check: Entity status, officer changes, jurisdiction red flags
How to Connect
Claude Desktop
{"mcpServers": {"startup-ecosystem": {"url": "https://startup-ecosystem-intelligence-mcp.apify.actor/mcp"}}}
Use Cases
- VC Firms: Deal sourcing with quantified innovation velocity and competitive moat analysis
- Corporate Venture: Identify potential acquisition targets or partnership candidates
- Accelerators: Portfolio company benchmarking against comparable cohort
- Technology Scouts: Track emerging technology trends from research to commercialization
FAQ
Q: Does this access Crunchbase or PitchBook data? A: No. This uses public sources (patents, GitHub, ArXiv, job postings, corporate registries) to generate alternative signals that don't rely on self-reported fundraising data.
Q: Is it legal to use this? A: All data sources are publicly available. See Apify's guide on web scraping legality.
Related MCPs
- ryanclinton/m-and-a-target-intelligence-mcp — Pre-acquisition target screening
- ryanclinton/academic-commercialization-pipeline-mcp — Research-to-product technology scouting
- ryanclinton/workforce-competitive-intelligence-mcp — Talent movement and organizational risk