lmwharton/sieve-mcp

**The first MCP server purpose-built for venture capital.** Drop a company name into Claude, Cursor, or Windsurf and get a quantified investment memo in 5 minutes — not a ChatGPT summary, a real analyst-grade IMPACT-X assessment with every claim verified against evidence.
> **"Screen a startup called Acme Corp"** → Sieve researches the company, scores it across 7 dimensions, verifies every claim, and tells you: **Take the meeting** or **Pass**.
Why Sieve?
Most VCs screen 50+ deals a month. Most of those are obvious passes — but you still spend 2-3 hours per deal on basic diligence before you know that. Sieve does that work in 5 minutes.
What You Get
| Capability | Details |
|---|---|
| **Investment Memo** | Full analyst-grade memo with executive summary, key strengths, critical concerns, and actionable recommendation — not a ChatGPT summary |
| **Deal Scoring (0-140)** | Quantified Sieve Score across 7 IMPACT-X dimensions — structured, repeatable, comparable across your portfolio |
| **Red Flag Detection** | Automatically surfaces deal-breakers: founder risk, market timing issues, unsustainable unit economics, missing traction, competitive threats |
| **Evidence Verification** | Every finding tagged as Documented, Discovered, Inferred, or Missing — cross-references pitch deck claims against real-world evidence |
| **Competitive Landscape** | Maps competitors, identifies moat strength, evaluates defensibility and switching costs |
| **Financial Model Assessment** | Evaluates unit economics, pricing power, revenue model viability, and path to profitability |
| **Market Sizing** | TAM/SAM/SOM analysis with timing assessment — is the market ready? |
| **Team Evaluation** | Founder-market fit, team completeness, domain expertise, execution track record |
| **Traction Analysis** | Growth metrics, customer validation, revenue signals, engagement patterns |
| **Real-time Deal Chat** | Ask follow-up questions, challenge findings, explore what-if scenarios, dig into any dimension |
| **Sector-Aware Analysis** | Adapts benchmarks for fintech, healthtech, deeptech, climate, SaaS, consumer, and more |
| **Stage-Calibrated** | Different expectations for pre-seed vs seed vs Series A — doesn't penalize early-stage for missing late-stage metrics |
What Makes Sieve Different
- **Not a wrapper around ChatGPT.** Sieve runs a structured multi-agent analysis pipeline with real-time web research, evidence verification, and domain-specific benchmarks.
- **We tell you what we don't know.** Every finding is evidence-typed (Documented / Discovered / Inferred / Missing) so you see exactly what's verified and where the gaps are.
- **Repeatable framework.** The same IMPACT-X methodology every time, so you can compare deals apples-to-apples across your portfolio.
- **Built by VCs.** Not a generic AI tool adapted for investing — purpose-built for the way investors actually evaluate deals.
IMPACT-X Framework
| Dimension | What Sieve evaluates |
|---|---|
| **I** — Innovators | Founding team quality, experience, domain expertise |
| **M** — Market | Opportunity size, timing, tailwinds |
| **P** — Product | Solution strength, differentiation, technical depth |
| **A** — Advantage | Competitive moat, defensibility, switching costs |
| **C** — Commerce | Business model, unit economics, pricing power |
| **T** — Traction | Growth metrics, validation signals, customer evidence |
| **X** — X-Factor | Unique qualities, timing advantages, intangibles |