![PyPI version](https://pypi.org/project/sieve-mcp/) ![Python 3.10+](https://www.python.org/downloads/) ![License: MIT](https://opensource.org/licenses/MIT) ![MCP Compatible](https://modelcontextprotocol.io)

Sieve MCP Server — AI-Powered Venture Capital Due Diligence

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 |

Each dimension scores 0-20. Total Sieve Score ranges from 0-140.

Quick Start

Install

pip install sieve-mcp

Or run directly without installing:

uvx sieve-mcp

Get Your API Key

Sign up free at app.sieve.arceusxventures.com
Go to Settings → copy your API key
Free tier: 2 screens/month. Pro: unlimited.

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "sieve": {
      "command": "uvx",
      "args": ["sieve-mcp"],
      "env": {
        "SIEVE_API_KEY": "your-api-key"
      }
    }
  }
}

Claude Code

claude mcp add sieve -- uvx sieve-mcp
export SIEVE_API_KEY="your-api-key"

Cursor / Windsurf

Add to your MCP settings:

{
  "mcpServers": {
    "sieve": {
      "command": "uvx",
      "args": ["sieve-mcp"],
      "env": {
        "SIEVE_API_KEY": "your-api-key"
      }
    }
  }
}

Available Tools

| Tool | What it does | Read-only | |---|---|---| | sieve_screen | Start a Quick Screen — pass a company name, optional website URL, pitch deck text, or description | No | | sieve_status | Poll analysis progress — see which dimensions are complete and current scores | Yes | | sieve_summary | Get the full investment memo — Sieve Score, recommendation, strengths, concerns, evidence | Yes | | sieve_usage | Check how many screens you've used this billing period | Yes |

Example Workflow

Just talk to your AI assistant naturally:

1. Screen a startup > "Run a Sieve screen on Acme Corp at acme.com"

2. Check progress (analysis takes 2-5 minutes) > "What's the status of that Sieve analysis?"

3. Get the full investment memo > "Show me the Sieve results for Acme Corp"

4. Explore the deal > "What are the red flags? Anything that should kill this deal?" > > "How strong is their competitive moat? Who are the main competitors?" > > "Walk me through their unit economics — is this business model viable?" > > "How does the founding team stack up? Any gaps?" > > "What's the market timing like? Is this too early or too late?" > > "Compare this deal to the last three I screened"

5. Check your usage > "How many Sieve screens do I have left this month?"

Pro tip: Upload a pitch deck for deeper analysis

Paste pitch deck text or founder meeting notes for maximum accuracy:

"Screen Acme Corp — here's their pitch deck text: [paste]. Also check acme.com"

Sieve cross-references every pitch deck claim against real-world evidence. When a founder says "fastest-growing in the category," Sieve checks if that's actually true.

More things you can ask

| Use case | Example prompt | |---|---| | Quick pass/take meeting | "Screen this company and give me the bottom line" | | Investment memo for IC | "Generate a full investment memo I can present to my partners" | | Red flag check | "What are the deal-breakers for this startup?" | | Competitive analysis | "Who competes with this company and how defensible are they?" | | Financial viability | "Does their business model make sense? What are the unit economics?" | | Team assessment | "Evaluate the founding team — any gaps or concerns?" | | Market validation | "Is the market real? What's the TAM and timing?" | | Batch screening | "Screen these 5 startups and rank them by Sieve Score" | | Follow-up prep | "Based on this analysis, what questions should I ask the founders?" | | Portfolio comparison | "How does this deal compare to others I've screened?" |

Who Uses Sieve

Solo GPs screening 50+ deals/month — stop spending hours on obvious passes
Angel investors evaluating startups outside their domain — Sieve brings sector expertise
Emerging fund managers building a repeatable diligence process — consistent framework, every time
Accelerators standardizing evaluation — compare apples to apples across your cohort

Environment Variables

| Variable | Required | Default | Description | |---|---|---|---| | SIEVE_API_KEY | Yes | — | Your Sieve API key (get one free) | | SIEVE_API_URL | No | https://api.sieve.arceusxventures.com | API base URL |

Running with Docker

docker build -t sieve-mcp .
docker run -p 8080:8080 -e SIEVE_API_KEY=your-key sieve-mcp

Development

# Install locally
pip install -e .

# Run in stdio mode (for MCP clients)
sieve-mcp

# Run in HTTP mode (for remote/container deployment)
sieve-mcp http

Also Available As

Sieve isn't just an MCP server. Use it however fits your workflow:

Web App — app.sieve.arceusxventures.com — Full experience with real-time deal chat and document upload
REST API — api.sieve.arceusxventures.com/api/docs — Integrate into custom deal flow pipelines
Android App — Screen startups on the go

License

MIT

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Built by ArceusX Ventures — from VCs, for VCs.

sieve-mcp