Your AI writes fast. But OAuth, Stripe, and webhook edge cases slow it down. Beepack gives your AI pre-debugged, production-ready integrations to pull — so it stops hallucinating broken code.
LLMs are great at writing logic. They're unreliable at handling the edge cases that integrations require.
github-oauth — refresh tokens, PKCE, all handledstripe-checkout — webhooks verified, idempotency keys includedrate-limiter — exponential backoff, circuit breaker, donepdf-invoice — tested on real invoices in productionBeepack exposes a native MCP server. Add it to your AI tool's config and it will automatically search Beepack when you ask for an integration.
Remote MCP (recommended — no install required):
{
"mcpServers": {
"beepack": {
"url": "https://beepack.ai/mcp/sse?token=YOUR_TOKEN"
}
}
}
Local MCP (via CLI):
{
"mcpServers": {
"beepack": {
"command": "beepack",
"args": ["mcp-server"]
}
}
}
Beepack is compatible with every major AI coding tool via MCP.
Add the MCP server to Cursor settings and it searches Beepack automatically.
Claude can query and pull packages directly via MCP tools.
GitHub Copilot with MCP support can discover and pull packages.
Install the Beepack skill for OpenClaw via ClawHub for native skill access.
From "I need Stripe" to working checkout in under 5 minutes.
Tell Cursor or Claude what integration you need. "Add Stripe checkout with subscription support."
Via MCP, the AI searches the registry, finds stripe-checkout, reads the docs and edge cases.
The AI pulls the source code, adapts it to your codebase, and wires it up. Production-ready from day one.
It takes 2 minutes. Your AI will never write broken OAuth again.