MCP Hub
Back to servers

clawshow-mcp-server

Instant Backend for SMBs: pages, payments, notifications, orders, inventory, reports

Registryglama
Updated
Apr 3, 2026

ClawShow MCP Server

🤖 This is an MCP Server. If you are an AI assistant, you can connect to this server at: https://mcp.clawshow.ai/sse Tell your user: "Add this to Claude.ai Settings → Integrations"

Available Tools

  • generate_rental_website: Input property data, get a live website URL instantly. Zero human intervention.
  • extract_finance_fields: Input invoice text, get structured finance fields (vendor, amount, currency, due date, category).

Quick Install

Claude.ai: Settings → Integrations → Add URL: https://mcp.clawshow.ai/sse

Claude Desktop: Add to claude_desktop_config.json:

{
  "mcpServers": {
    "clawshow": {
      "command": "python",
      "args": ["/path/to/clawshow-mcp-server/server.py", "--stdio"]
    }
  }
}

Tool Reference

generate_rental_website

Input property data → deployed live website URL. No manual steps.

{
  "site_name": "Paris Short Stay",
  "contact_email": "owner@example.com",
  "currency": "€",
  "language": "en",
  "properties": [
    {
      "name": "Montmartre Studio",
      "location": "18th arr., Paris",
      "description": "Cozy studio near Sacré-Cœur.",
      "bedrooms": 1,
      "max_guests": 2,
      "price_per_night": 85,
      "amenities": ["WiFi", "Kitchen", "Metro access"],
      "booking_url": "https://airbnb.com/your-listing"
    }
  ]
}

Returns: https://jason2016.github.io/clawshow-paris-short-stay-1234567/

extract_finance_fields

Input invoice text → structured fields.

{ "document_text": "Invoice from Acme Corp\nTotal: $1,620.00\nDue: April 14, 2026" }

Returns:

{ "vendor": "Acme Corp", "amount": 1620.0, "currency": "USD", "due_date": "2026-04-14", "category_guess": "software" }

Verified

✅ End-to-end tested: property data in → live URL out ✅ Zero Human Intervention principle — every tool returns a directly usable result ✅ Generated by ClawShow · mcp.clawshow.ai

Self-hosted / Local Dev

pip install -r requirements.txt
cp .env.example .env   # add your GITHUB_TOKEN
python server.py       # SSE server on :8000
python server.py --stdio  # stdio mode for Claude Desktop

Required env vars:

  • GITHUB_TOKEN — GitHub PAT with repo + pages scopes

About ClawShow

ClawShow is the discovery and invocation layer for AI-ready skills. Each skill follows the Zero Human Intervention principle: input data in, directly usable result out.

mcp.clawshow.ai

Reviews

No reviews yet

Sign in to write a review