Your AI can't call an API that doesn't speak MCP. Building a server by hand means SDKs, schemas, auth, and hosting. gate generates one from your API's documentation or OpenAPI spec — you review every tool before it goes live.
Free to start · No code · You review everything before it runs
Drop in an API's documentation page or OpenAPI spec URL — gate analyzes it live and shows the MCP tools it would generate. No account needed for the preview.
It's a fine way to go if you're shipping a product. For connecting your own API to your own AI, it's a lot of ceremony:
Model Context Protocol, transports, sessions, the TypeScript or Python SDK — a day or two before the first tool exists.
Each endpoint becomes a tool: name, description, JSON-Schema inputs. Get the descriptions wrong and your AI misuses the tool.
Map tool calls to API requests, handle errors, wire up keys or OAuth — the unglamorous 80 %.
Deploy it somewhere, keep it patched, update it every time the API changes. Forever.
Your API's documentation page or an OpenAPI spec URL — gate reads it and drafts the tools.
You see every generated tool — names, descriptions, inputs — before anything goes live. Cut what you don't want.
Add your API key (stored encrypted) and the server runs through your gateway — in Claude, ChatGPT, and Cursor at once.
Free to start · No code · You review everything before it runs
No generated tool goes live without your explicit approval — you see and edit the full list first.
API keys and OAuth2 client credentials are stored encrypted and never leave your gateway.
Generated servers pass the same security scan as directory servers before your AI can touch them.
Allow, ask, or block every generated tool, and see each call in your activity log.
Paste your API's documentation URL or OpenAPI spec into gate's builder. It analyzes the API, drafts MCP tools for its endpoints, and shows you the full list to review and edit. Once you approve and add your credentials, the server runs through your gateway — no SDK, no hosting, no deployment.
Any API with an OpenAPI/Swagger spec works best. APIs with regular documentation pages work too — gate reads the docs and drafts the tools. Authentication via API key or OAuth2 client credentials is supported.
Through your gate gateway — there is nothing to host or deploy. Your AI clients call the gateway, the gateway calls the API with your stored credentials, and every call is logged.
Yes — on a paid plan you can publish it to the Discovery directory. Others connect it with their own API keys; your credentials are never shared.
If you're a vendor shipping an official server for thousands of users: yes, build and host a real one (and we'll happily list it). If you just want your AI to use an API — yours or a third party's — generating it is faster and ends up governed, scanned, and logged for free.
Generate it, review it, run it — free to start.
Generate your server free