Sieve — Startup Due Diligence MCP Server

@lmwharton

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

lmwharton

提交者

Lakshman Mantha

关于 Sieve — Startup Due Diligence MCP Server

AI-powered startup due diligence. Screen any company across 7 IMPACT-X dimensions (Team, Market, Product, Advantage, Commerce, Traction, X-Factor) and get a quantified Sieve Score (0-140) with a Take Meeting / Pass / Need More Info recommendation. From company name to investment

Sieve — Startup Due Diligence MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Sieve — Startup Due Diligence MCP Server 工具

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点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Sieve — Startup Due Diligence?

Sieve — Startup Due Diligence is an AI-powered tool that screens any company across seven IMPACT-X dimensions (Team, Market, Product, Advantage, Commerce, Traction, X-Factor). It returns a quantified Sieve Score from 0 to 140 along with a Take Meeting, Pass, or Need More Info recommendation, enabling investors to go from company name to an investment decision in minutes.

How to use Sieve — Startup Due Diligence?

Provide the name of a startup company. The server processes the input and delivers a due diligence report containing a combined Sieve Score and a clear recommendation.

Key features of Sieve — Startup Due Diligence

AI-powered startup due diligence
Screens across 7 IMPACT-X dimensions
Quantified Sieve Score (0–140)
Three recommendation outcomes: Take Meeting, Pass, Need More Info
Fast: from company name to decision in minutes

Use cases of Sieve — Startup Due Diligence

Quick screening of early-stage startups for investment
Comparing multiple companies across standardized dimensions
Preliminary due diligence before deeper analysis
Portfolio monitoring and re-evaluation

常见问题

What does the Sieve Score mean?

The Sieve Score is a quantified rating from 0 to 140 based on the analysis across all seven IMPACT-X dimensions.

What are the IMPACT-X dimensions?

The seven dimensions are Team, Market, Product, Advantage, Commerce, Traction, and X-Factor.

What recommendations does the server provide?

The server outputs one of three recommendations: Take Meeting, Pass, or Need More Info.

How does the server process a company name?

It uses AI to analyze the input company name and returns a due diligence assessment with a score and recommendation.

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