Is io.github.lmwharton/sieve-mcp safe to use?

io.github.lmwharton/sieve-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.lmwharton/sieve-mcp?

io.github.lmwharton/sieve-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.lmwharton/sieve-mcp do?

io.github.lmwharton/sieve-mcp provides 4 tools: sieve_screen, sieve_status, sieve_summary, sieve_usage. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.lmwharton/sieve-mcp?

io.github.lmwharton/sieve-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.lmwharton/sieve-mcp actively maintained?

io.github.lmwharton/sieve-mcp is recently maintained — last commit was 72 days ago. It has 3 GitHub stars.

io.github.lmwharton/sieve-mcp

sieve-mcp

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

3 4 tools GitHub PyPI

No known CVEs

No license

Maintained

Last commit 72d ago

Works with most clients

Transport: stdio, sse, http

4 tools · ~287 tok

Grade A · 0.1% of 200K ctx

Edit this pageView history

Finance AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

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

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-lmwharton-sieve-mcp)](https://mcppedia.org/s/io-github-lmwharton-sieve-mcp)

Read me

What io.github.lmwharton/sieve-mcp does

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

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

uvx 'sieve-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

82/100across 5 weighted dimensions

How we score →

0255075100

−18

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked sieve-mcp against OSV.dev.

Inventory

Tools (4)

Click any tool to inspect its schema.

~287 tokens total

Help improve this page

This server is missing a description.If you've used it, help the community.

Add information

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.lmwharton/sieve-mcp safe to use?: io.github.lmwharton/sieve-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.lmwharton/sieve-mcp?: io.github.lmwharton/sieve-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.lmwharton/sieve-mcp do?: io.github.lmwharton/sieve-mcp provides 4 tools: sieve_screen, sieve_status, sieve_summary, sieve_usage. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.lmwharton/sieve-mcp?: io.github.lmwharton/sieve-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.lmwharton/sieve-mcp actively maintained?: io.github.lmwharton/sieve-mcp is recently maintained — last commit was 72 days ago. It has 3 GitHub stars.

Similar servers

Others in finance / ai-ml

View all →

Memory MCP Server98

Persistent memory using a knowledge graph

86.4k 5

Sequential Thinking MCP Server98

Dynamic problem-solving through sequential thought chains

86.4k 1

Antigravity Workspace Template96

Workspace template + MCP server for Claude Code, Codex CLI, Cursor & Windsurf. Multi-agent knowledge engine (ag-refresh / ag-ask) that turns any codebase into a queryable AI assistant.

1.2k 2

Context Mode95

Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.

16.0k 6

MCP Security Weekly

Get CVE alerts and security updates for io.github.lmwharton/sieve-mcp and similar servers.

Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

Finance AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

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

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-lmwharton-sieve-mcp)](https://mcppedia.org/s/io-github-lmwharton-sieve-mcp)

Read me

What io.github.lmwharton/sieve-mcp does

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

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

uvx 'sieve-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

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

Capability	Details
Investment Memo	Full 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 Detection	Automatically surfaces deal-breakers: founder risk, market timing issues, unsustainable unit economics, missing traction, competitive threats
Evidence Verification	Every finding tagged as Documented, Discovered, Inferred, or Missing — cross-references pitch deck claims against real-world evidence
Competitive Landscape	Maps competitors, identifies moat strength, evaluates defensibility and switching costs
Financial Model Assessment	Evaluates unit economics, pricing power, revenue model viability, and path to profitability
Market Sizing	TAM/SAM/SOM analysis with timing assessment — is the market ready?
Team Evaluation	Founder-market fit, team completeness, domain expertise, execution track record
Traction Analysis	Growth metrics, customer validation, revenue signals, engagement patterns
Real-time Deal Chat	Ask follow-up questions, challenge findings, explore what-if scenarios, dig into any dimension
Sector-Aware Analysis	Adapts benchmarks for fintech, healthtech, deeptech, climate, SaaS, consumer, and more
Stage-Calibrated	Different 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

Dimension	What Sieve evaluates
I — Innovators	Founding team quality, experience, domain expertise
M — Market	Opportunity size, timing, tailwinds
P — Product	Solution strength, differentiation, technical depth
A — Advantage	Competitive moat, defensibility, switching costs
C — Commerce	Business model, unit economics, pricing power
T — Traction	Growth metrics, validation signals, customer evidence
X — X-Factor	Unique qualities, timing advantages, intangibles

Each dimension score

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

82/100across 5 weighted dimensions

How we score →

0255075100

−18

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked sieve-mcp against OSV.dev.

Inventory

Tools (4)

Click any tool to inspect its schema.

~287 tokens total

Help improve this page

This server is missing a description.If you've used it, help the community.

Add information

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.lmwharton/sieve-mcp safe to use?: io.github.lmwharton/sieve-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.lmwharton/sieve-mcp?: io.github.lmwharton/sieve-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.lmwharton/sieve-mcp do?: io.github.lmwharton/sieve-mcp provides 4 tools: sieve_screen, sieve_status, sieve_summary, sieve_usage. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.lmwharton/sieve-mcp?: io.github.lmwharton/sieve-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.lmwharton/sieve-mcp actively maintained?: io.github.lmwharton/sieve-mcp is recently maintained — last commit was 72 days ago. It has 3 GitHub stars.

Similar servers

Others in finance / ai-ml

View all →

Memory MCP Server98

Persistent memory using a knowledge graph

86.4k 5

Sequential Thinking MCP Server98

Dynamic problem-solving through sequential thought chains

86.4k 1

Antigravity Workspace Template96

Workspace template + MCP server for Claude Code, Codex CLI, Cursor & Windsurf. Multi-agent knowledge engine (ag-refresh / ag-ask) that turns any codebase into a queryable AI assistant.

1.2k 2

Context Mode95

Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.

16.0k 6

MCP Security Weekly

Get CVE alerts and security updates for io.github.lmwharton/sieve-mcp and similar servers.

Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?