Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
AI startup due diligence — screen companies across 7 dimensions, get a Sieve Score.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
SIEVE_API_KEYLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"sieve": {
"command": "uvx",
"args": [
"sieve-mcp"
],
"env": {
"SIEVE_API_KEY": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add sieve --env SIEVE_API_KEY=your-value -- uvx sieve-mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"sieve": {
"command": "uvx",
"args": [
"sieve-mcp"
],
"env": {
"SIEVE_API_KEY": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"sieve": {
"type": "stdio",
"command": "uvx",
"args": [
"sieve-mcp"
],
"env": {
"SIEVE_API_KEY": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 8 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub lmwharton, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: SIEVE_API_KEY
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.1.4) llegó al registro hace 8 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Tethered Trust
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:↓ Descargas por semanai★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Fit, compatibility and recall checks for AI agents before they buy: verdicts, evidence, receipts.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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.
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.
| 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 |
| 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 scores 0-20. Total Sieve Score ranges from 0-140.
pip install sieve-mcp
Or run directly without installing:
uvx sieve-mcp
Add to your claude_desktop_config.json:
{
"mcpServers": { "sieve": { "command": "uvx", "args": ["sieve-mcp"], "env": { "SIEVE_API_KEY": "your-api-key" } } } }
claude mcp add sieve -- uvx sieve-mcp
export SIEVE_API_KEY="your-api-key"
Add to your MCP settings:
{
"mcpServers": { "sieve": { "command": "uvx", "args": ["sieve-mcp"], "env": { "SIEVE_API_KEY": "your-api-key" } } } }
| Tool | What it does | Read-only |
|---|---|---|
sieve_screen | Start a Quick Screen — pass a company name, optional website URL, pitch deck text, or description | No |
sieve_status | Poll analysis progress — see which dimensions are complete and current scores | Yes |
sieve_summary | Get the full investment memo — Sieve Score, recommendation, strengths, concerns, evidence | Yes |
sieve_usage | Check how many screens you've used this billing period | Yes |
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?"
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.
| Use case | Example 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?" |
| Variable | Required | Default | Description |
|---|---|---|---|
SIEVE_API_KEY | Yes | — | Your Sieve API key (get one free) |
SIEVE_API_URL | No | https://api.sieve.arceusxventures.com | API base URL |
docker build -t sieve-mcp .
docker run -p 8080:8080 -e SIEVE_API_KEY=your-key sieve-mcp
# Install locally
pip install -e .
sieve-mcp
sieve-mcp http
Sieve isn't just an MCP server. Use it however fits your workflow:
MIT
Built by ArceusX Ventures — from VCs, for VCs.