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Sieve MCP

From company name to investment decision. Sieve scores startups across 7 dimensions so you know who's worth a meeting.

64Good

Scored 8 days ago · breakdown

About Sieve MCP

Sieve MCP is an MCP server published by lmwharton in the Developer Tools category: from company name to investment decision. Sieve scores startups across 7 dimensions so you know who's worth a meeting.

Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/lmwharton/sieve-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (4)

sieve_screenStart a Quick Screen — pass a company name, optional website URL, pitch deck text, or description

Parameters not published.

sieve_statusPoll analysis progress — see which dimensions are complete and current scores

Parameters not published.

sieve_summaryGet the full investment memo — Sieve Score, recommendation, strengths, concerns, evidence

Parameters not published.

sieve_usageCheck how many screens you've used this billing period

Parameters not published.

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Security checks

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

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Releases

v0.3.0v0.3.0 — Data Room Tools + Screen by Deal ID · 18 Mar 2026What's New Data room tools: `sieve_dataroom_add` and `sieve_dataroom` for managing deal documents Screen by deal_id: `sieve_screen` now supports screening existing deals Investment memo: `sieve_memo` tool for generating investment…

README

PyPI version MCP Compatible

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

  1. Sign up free at app.sieve.arceusxventures.com
  2. Go to Settings → copy your API key
  3. 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:

Links

License

MIT


Built by ArceusX Ventures — from VCs, for VCs.

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Sieve MCP

How do I install Sieve MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Sieve MCP safe to use with an AI agent?

Its trust score is 64 out of 100 (good). It passes 2 of the 3 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Sieve MCP still maintained?

The last commit was 7 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.