Prepcast MCP
A comprehensive framework for building and deploying commercial MCP servers with integrated billing, usage metering, and Stripe payment processing. It enables developers to monetize AI tools through a complete ecosystem including API key management, affiliate tracking, and automated deployment scripts.
README
{{PROJECT_NAME}}
{{PROJECT_DESCRIPTION}}
What You Get
- MCP server (
SSE+stdio) - Tool registry (
tools/) - Billing middleware (
billing.py) - API keys + free tier + rate limits
- Stripe usage metering + checkout endpoint
- Affiliate signup + referral commission tracking
- Landing page (
site/index.html) - Consumer web panel (no MCP setup required)
- Deploy scripts (
docker-compose.yml,deploy.sh) - Competitor/pricing strategy toolkit (
strategy/) - Prompt pack for install/sales/public messaging (
prompts/)
Local Setup
cp .env.example .env
./deploy.sh setup
./deploy.sh start
Health:
curl http://localhost:8420/health
Billing Endpoints
POST /billing/keyscreate API keyGET /billing/usage?api_key=...user usage summaryGET /billing/activity?api_key=...recent callsGET /billing/metrics?admin_key=...admin usage/revenue totalsPOST /billing/checkoutStripe checkout sessionPOST /billing/webhookStripe webhook handler
Deploy
Docker Compose
./deploy.sh start
Competitive Pricing Analysis
./deploy.sh benchmark
This generates:
reports/competitive_report.mdsite/public-comparison.jsonsite/pricing-recommendation.json
Fly.io
./deploy.sh fly
Railway
./deploy.sh railway
Connect from Claude
Remote SSE
Point Claude MCP config to:
https://your-domain.example/sse
Include X-API-Key: <user_api_key> in client headers if billing is enabled.
Local stdio
python server.py --stdio
Customize
- Replace
tools/example.pywith your product tools. - Update per-tool pricing in
billing.py. - Configure affiliate defaults in
.env. - Edit landing page copy and consumer panel in
site/index.html. - Set Stripe env vars in
.env. - Update
prompts/files for support and sales assistant behavior.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.