Your API, spoken fluently by every AI.
AppRamp compiles any OpenAPI specification into a live Model Context Protocol server — validated, metered, and rate-limited at the edge. ChatGPT, Claude, and every MCP client can call your API in minutes. No backend code.
// tools/call — JSON-RPC 2.0 { "method": "tools/call", "params": { "name": "get_forecast", "arguments": { "latitude": 48.85, "longitude": 2.35 } } } // response, typed and validated against your schema { "structuredContent": { "temperature": 21.4, "windspeed": 11.2 } }
Everything between your API
and the model.
OpenAPI in, MCP out
Import any OpenAPI 3.x or Swagger 2.0 specification. Each operation becomes a typed MCP tool with input and output validation derived from your schemas.
Guardrails by default
Administrative and internal paths are filtered, deprecated operations skipped, HTTP methods allow-listed. You decide exactly what a model may touch.
Metered and limited
Every request is counted per workspace. Monthly limits and instant suspension are enforced at the edge, before your backend is ever reached.
Secrets stay server-side
Backend credentials are injected at the gateway. They never appear in the model context, the client, or the browser.
Standard protocol
Plain JSON-RPC 2.0 over HTTPS, implementing the Model Context Protocol. If a client speaks MCP, it speaks to your API.
Versioned specs
Every import creates a new immutable version with an instant rollback pointer. Iterate on your tool surface without breaking running clients.
Live in three steps.
Create a workspace
Sign up with your email. Your company name becomes an isolated workspace — your specs, your endpoints, your usage, nobody else's.
Import your specification
Paste an OpenAPI document or a URL to one. Choose the allowed methods; the compiler reports every tool it generates and everything it filtered.
Connect a client
Point any MCP client at /{workspace}/{api}/{env} and start calling tools. Watch requests arrive on your dashboard.