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  1. Home
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  3. Sieve MCP
Sieve MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 5:34:40 PM

Sieve MCP

User RatingsBe the first to rate and review this MCP server!
View Repository4 GitHub StarsTotal stargazers on GitHub for the source repository (4 stars).Visit Website
venture-capitaldue-diligencestartup-screeningfinance

Screens startups across seven IMPACT-X dimensions and produces evidence-typed scores, investment memos, and meeting recommendations.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Automated check passedβ€” started and listed 8 tools correctly (1mo ago).
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "lmwharton-sieve-mcp": {
      "command": "uvx",
      "args": [
        "sieve-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (8) Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Overview

Sieve MCP performs structured startup due diligence using web research, evidence verification, and sector- and stage-aware benchmarks. It scores companies from 0 to 140 across seven IMPACT-X dimensions, identifies risks and competitive factors, and provides an investment recommendation. Use it for initial screening and follow-up analysis of prospective investments.

Use cases

β€’Screen a startup using its name, website, pitch deck text, or description
β€’Compare investment opportunities with repeatable IMPACT-X scores
β€’Identify founder, market, traction, financial, and competitive red flags
β€’Review a company’s market size, unit economics, and path to profitability
β€’Ask follow-up questions about findings and what-if scenarios

Key features

β€’Investment memos with summaries, strengths, concerns, and recommendations
β€’0-140 scoring across seven IMPACT-X dimensions
β€’Evidence labels for Documented, Discovered, Inferred, and Missing findings
β€’Competitive landscape and moat assessment
β€’Financial model, market sizing, team, and traction analysis
β€’Progress tracking and usage checking

Capabilities & Tool Schemas (8) ~1.4k tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Verified live Verified liveCaptured by calling this server’s live tools/list endpoint.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Sieve MCP.

sieve_screen

Run a Sieve IMPACT-X Quick Screen on a startup. Analyzes the company across 7 dimensions (Innovators, Market, Product, Advantage, Commerce, Traction, X-Factor) and returns an analysis ID. Takes 2-5 minutes to complete. Upserts -- if the company was previously screened, returns the existing deal (set confirm=true to re-screen). Two ways to use: - v3 (recommended): First add documents with sieve_dataroom_add, then call sieve_screen(deal_id=...) to analyze everything in the data room. - v2 (legacy): Call sieve_screen(company_name=..., website_url=...) directly. At least one of website_url or pitch_deck_text is required in this mode.

sieve_status

Check the progress of a Sieve analysis. Returns which IMPACT-X dimensions are complete with their scores, overall progress percentage, and current phase.

sieve_results

Get the full results of a completed Sieve analysis. Returns the Sieve Score (0-140), meeting decision (Take Meeting/Pass/ Need More Info), executive summary, key strengths, and key concerns.

sieve_usage

Check your Sieve API usage for the current billing period. Shows screens used, monthly limit, tier, and organization name.

sieve_deals

List deals in your Sieve pipeline. Search by company name or list all deals. Returns deal metadata including Sieve scores for screened deals.

sieve_memo

Get or generate an investment memo for a deal. If generate=false (default), retrieves the existing memo. If generate=true, creates a new memo (~15-30 seconds). Requires a completed screen.

Documentation Overview

PyPI version Python 3.10+ License: MIT MCP Compatible

Sieve MCP Server β€” 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 β€” not a ChatGPT summary, a real analyst-grade IMPACT-X assessment with every claim verified against evidence.

"Screen a startup called Acme Corp" β†’ 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 β€” 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

CapabilityDetails
Investment MemoFull analyst-grade memo with executive summary, key strengths, critical concerns, and actionable recommendation β€” not a ChatGPT summary
Deal Scoring (0-140)Quantified Sieve Score across 7 IMPACT-X dimensions β€” structured, repeatable, comparable across your portfolio
Red Flag DetectionAutomatically surfaces deal-breakers: founder risk, market timing issues, unsustainable unit economics, missing traction, competitive threats
Evidence VerificationEvery finding tagged as Documented, Discovered, Inferred, or Missing β€” cross-references pitch deck claims against real-world evidence
Competitive LandscapeMaps competitors, identifies moat strength, evaluates defensibility and switching costs
Financial Model AssessmentEvaluates unit economics, pricing power, revenue model viability, and path to profitability
Market SizingTAM/SAM/SOM analysis with timing assessment β€” is the market ready?
Team EvaluationFounder-market fit, team completeness, domain expertise, execution track record
Traction AnalysisGrowth metrics, customer validation, revenue signals, engagement patterns
Real-time Deal ChatAsk follow-up questions, challenge findings, explore what-if scenarios, dig into any dimension
Sector-Aware AnalysisAdapts benchmarks for fintech, healthtech, deeptech, climate, SaaS, consumer, and more
Stage-CalibratedDifferent expectations for pre-seed vs seed vs Series A β€” 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 β€” purpose-built for the way investors actually evaluate deals.

IMPACT-X Framework

DimensionWhat Sieve evaluates
I β€” InnovatorsFounding team quality, experience, domain expertise
M β€” MarketOpportunity size, timing, tailwinds
P β€” ProductSolution strength, differentiation, technical depth
A β€” AdvantageCompetitive moat, defensibility, switching costs
C β€” CommerceBusiness model, unit economics, pricing power
T β€” TractionGrowth metrics, validation signals, customer evidence
X β€” X-FactorUnique qualities, timing advantages, intangibles

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

Quick Start

Install

Terminal
pip install sieve-mcp

Or run directly without installing:

bash
uvx sieve-mcp

Get Your API Key

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

Claude Desktop

Add to your claude_desktop_config.json:

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

Claude Code

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

Cursor / Windsurf

Add to your MCP settings:

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

Available Tools

ToolWhat it doesRead-only
sieve_screenStart a Quick Screen β€” pass a company name, optional website URL, pitch deck text, or descriptionNo
sieve_statusPoll analysis progress β€” see which dimensions are complete and current scoresYes
sieve_summaryGet the full investment memo β€” Sieve Score, recommendation, strengths, concerns, evidenceYes
sieve_usageCheck how many screens you've used this billing periodYes

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 β€” 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 β€” 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 caseExample 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 β€” 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 β€” stop spending hours on obvious passes
  • Angel investors evaluating startups outside their domain β€” Sieve brings sector expertise
  • Emerging fund managers building a repeatable diligence process β€” consistent framework, every time
  • Accelerators standardizing evaluation β€” compare apples to apples across your cohort

Environment Variables

VariableRequiredDefaultDescription
SIEVE_API_KEYYesβ€”Your Sieve API key (get one free)
SIEVE_API_URLNohttps://api.sieve.arceusxventures.comAPI base URL

Running with Docker

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

Development

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

Links

  • Website: sieve.arceusxventures.com
  • Web App: app.sieve.arceusxventures.com
  • API Docs: api.sieve.arceusxventures.com/api/docs
  • PyPI: pypi.org/project/sieve-mcp
  • Contact: hello@arceusxventures.com

License

MIT


Built by ArceusX Ventures β€” from VCs, for VCs.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
4
Stargazers on the source repository.
Last commit
5mo ago
Most recent push to the default branch.
Availability
100%
Our rolling endpoint + install checks that succeeded.
Install check
Passed
Our sandbox started it and listed its tools.
Tools exposed
8
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

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Frequently Asked Questions about Sieve MCP

It evaluates founders, markets, products, competitive advantages, commerce, traction, and X-Factor qualities using the IMPACT-X framework.

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
PricingFreemium
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
AuthAPI key
LicenseMIT
ClientsClaude Desktop, Cursor, Windsurf
Last updatedAug 9, 2026
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars4
GitHub Star CountTotal stargazers on GitHub representing community popularity (4 stars).
Last commit5mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Mar 18, 2026
67Quality signal: Great Β· 67/100How this signal is calculated β–Ύ
Server availability25/25
Verified ownership10/20
Documentation & tools30/30
Adoption & activity2/15
Community engagement0/10

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Scanned 27d ago via OSV.dev Β· sieve-mcp (PyPI)

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