Sieve — Startup Due Diligence
@lmwharton
About Sieve — Startup Due Diligence
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
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"sieve": {
"command": "uvx",
"args": [
"sieve-mcp"
],
"env": {
"SIEVE_API_KEY": "your-api-key-here"
}
}
}
}Tools
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Overview
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
FAQ from Sieve — Startup Due Diligence
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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