Sieve Mcp

io.github.lmwharton由 GitHub 帳號 lmwharton 發布v0.1.4更新於 Oct 28, 2026

AI startup due diligence — screen companies across 7 dimensions, get a Sieve Score.

概覽

AI 產生的概覽

Sieve MCP 讓助理對新創公司做創投盡職調查,依 7 個面向打出 0-140 的 Sieve 分數並產出投資備忘錄。

可以做什麼
  • 依公司名稱、網站、募資簡報文字或描述啟動一次篩選分析
  • 查詢分析進度,查看各面向完成情況與目前分數
  • 取得完整投資備忘錄,包含 Sieve 分數、建議、優勢、疑慮與證據
  • 查看目前計費週期已使用的篩選次數
適用情境
適合投資人、天使、基金經理與加速器需要快速初篩大量案件、為投資委員會準備結構化備忘錄,或以一致框架比較投資組合中新創公司的情境。
執行需求
以本機 Python 套件透過 stdio 執行(pip install sieve-mcp 或 uvx sieve-mcp)。需以 SIEVE_API_KEY 環境變數提供 Sieve API 金鑰,可選用 SIEVE_API_URL 覆寫 API 位址,並需能連線至 Sieve 服務。
安裝前請注意
SIEVE_API_KEY 屬機密,應避免寫入共用設定。啟動篩選會消耗付費額度(免費方案每月 2 次,Pro 不限),公司資訊、網站網址或貼上的募資簡報文字會傳送至第三方服務分析,且篩選會在遠端服務建立新的分析紀錄。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Sieve Mcp,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

[PyPI version] [Python 3.10+] [License: MIT] [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

CapabilityDetails
Investment MemoFull 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 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 — 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 — 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 — 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

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

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

Quick Start

Install

bash
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 → copy your API key
  3. Free tier: 2 screens/month. Pro: unlimited.

Claude Desktop

Add to your claude_desktop_config.json:

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

Claude Code

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

Cursor / Windsurf

Add to your MCP settings:

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 — pass a company name, optional website URL, pitch deck text, or descriptionNo
sieve_statusPoll analysis progress — see which dimensions are complete and current scoresYes
sieve_summaryGet the full investment memo — 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 — 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 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 — 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

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

Running with Docker

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

Development

bash
# Install locallypip 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.

來源:README.md,提交 635b3cb

工具

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版本歷史

1
  1. v0.1.4最新Sep 16, 2026

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