MCP Servers

lmwharton/sieve-mcp

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

Our verdict

Not reviewed yet

We have not reviewed lmwharton/sieve-mcp yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About lmwharton/sieve-mcp

Sieve-MCP takes a company name and returns a score across seven startup evaluation dimensions, helping investors decide which meetings are worth taking. It runs as a Python-based tool that automates the initial screening process.

Best for

Early‑stage investors and analysts needing fast, repeatable startup evaluations.

Use cases

Quickly scoring a batch of startup names to prioritize leads
Automating initial due diligence checks for early-stage investments
Integrating startup assessment into a larger deal flow pipeline

Notes

4 stars on GitHub. Last updated 2026-03-18. Licensed MIT.

Pros

Provides a structured, multi‑dimension score from just a company name
Saves time on manual research during early screening
Simple input/output that fits into existing workflows

Cons

Scoring depends on the freshness and breadth of underlying public data
May miss qualitative or off‑record signals that a human would catch
Limited to the seven predefined dimensions without customization

Key facts

What we have checked

Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.

How to use

How to set it up

As the listing publishes it. We have not run this install.

Install

uvx sieve-mcp

Tools exposed

sieve_screen
sieve_status
sieve_summary
sieve_usage
SIEVE_API_KEY
SIEVE_API_URL

Clients the listing names (not checked here)

Claude Desktop, Claude Code, Cursor, Windsurf, ChatGPT

Install

Add lmwharton/sieve-mcp to your client

Not verified yet

Our lab has not run this server yet. "Config checked" on a client means the recipe matches that client's documented config format; it does not mean we ran it.

Claude Code

Config checked

Run in your terminal (runs on your computer)

claude mcp add --env SIEVE_API_KEY=YOUR_SIEVE_API_KEY --transport stdio lmwharton-sieve-mcp -- uvx sieve-mcp@0.1.4

Needs SIEVE_API_KEY: replace each YOUR_ value with your own.

Version 0.1.4 · From the Official MCP registry, read 24 Oct 2026 · Format checked against Claude Code's config docs

Claude Desktop

Config checked

Add to claude_desktop_config.json (runs on your computer)

{
  "mcpServers": {
    "lmwharton-sieve-mcp": {
      "command": "uvx",
      "args": [
        "sieve-mcp@0.1.4"
      ],
      "env": {
        "SIEVE_API_KEY": "YOUR_SIEVE_API_KEY"
      }
    }
  }
}

Needs SIEVE_API_KEY: replace each YOUR_ value with your own.

Version 0.1.4 · From the Official MCP registry, read 24 Oct 2026 · Format checked against Claude Desktop's config docs

Cursor

Config checked

Add to .cursor/mcp.json (runs on your computer)

{
  "mcpServers": {
    "lmwharton-sieve-mcp": {
      "command": "uvx",
      "args": [
        "sieve-mcp@0.1.4"
      ],
      "env": {
        "SIEVE_API_KEY": "YOUR_SIEVE_API_KEY"
      }
    }
  }
}

Needs SIEVE_API_KEY: replace each YOUR_ value with your own.

Version 0.1.4 · From the Official MCP registry, read 24 Oct 2026 · Format checked against Cursor's config docs

VS Code

Config checked

Add to .vscode/mcp.json (runs on your computer)

{
  "inputs": [
    {
      "type": "promptString",
      "id": "sieve-api-key",
      "description": "Your Sieve API key (get one at https://app.sieve.arceusxventures.com/settings)",
      "password": true
    }
  ],
  "servers": {
    "lmwharton-sieve-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "sieve-mcp@0.1.4"
      ],
      "env": {
        "SIEVE_API_KEY": "${input:sieve-api-key}"
      }
    }
  }
}

Needs SIEVE_API_KEY: replace each YOUR_ value with your own.

Version 0.1.4 · From the Official MCP registry, read 24 Oct 2026 · Format checked against VS Code's config docs

Codex

Config checked

Add to ~/.codex/config.toml (runs on your computer)

[mcp_servers.lmwharton-sieve-mcp]
command = "uvx"
args = ["sieve-mcp@0.1.4"]
env_vars = ["SIEVE_API_KEY"]

Needs SIEVE_API_KEY: replace each YOUR_ value with your own.

Version 0.1.4 · From the Official MCP registry, read 24 Oct 2026 · Format checked against Codex's config docs

ChatGPT: ChatGPT connects only to remote servers that need no API key.

Recipes come from the server's entry in the official MCP registry. Check the package name before you run it, and keep keys out of shared files.

Works with

What lmwharton/sieve-mcp connects to

5 clients, each with how we know and when we checked.

Works with	Type	How we know	Checked
Claude Code	Client	Install recipe matches the client's documented formatRuns locally, version 0.1.4Config checked	24 Oct 2026Claude Code docs
Claude Desktop	Client	Install recipe matches the client's documented formatRuns locally, version 0.1.4Config checked	24 Oct 2026Claude Desktop docs
Cursor	Client	Install recipe matches the client's documented formatRuns locally, version 0.1.4Config checked	24 Oct 2026Cursor docs
VS Code	Client	Install recipe matches the client's documented formatRuns locally, version 0.1.4Config checked	24 Oct 2026VS Code docs
Codex	Client	Install recipe matches the client's documented formatRuns locally, version 0.1.4Config checked	24 Oct 2026Codex docs

Sources

Where this comes from

No sources recorded yet. Each source we check is listed here with the date we checked it.

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

Built with1 entry

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