Your API is already an AI tool. Ship it as an MCP server.
Wrap the endpoints you already have in a visual workflow, hit deploy, and point Claude, Cursor or any MCP client at it. No SDK to learn, no server to run, no glue code to maintain.
Real, and yours to run
An MCP server here is just a workflow. Your workflow decides what each tool does and what it returns — so a tool can call one endpoint, chain several, reshape the result, or pause for an approval.
- Any MCP client — Claude Desktop, Cursor, or your own — over stdio or a secured URL
- No SDK — You build the tool on a visual canvas, not in server code
- Hosted for you — SchemaBridge runs the MCP server; there is nothing to deploy or keep alive
From API to agent tool in three steps
No new language, no infrastructure. If you can describe the call, you can ship the tool.
- Build the tool: Drop your API calls onto the canvas as gateway steps. Tag the entry point as a tool and write a plain-English description of what it does.
- Deploy: One click. SchemaBridge hosts the MCP server at a stable URL — no server for you to stand up, host or monitor.
- Connect your agent: Paste the URL into Claude, Cursor or any MCP client. Your API is now a tool the agent can call on its own.
Writing an MCP server by hand
- Learn the MCP spec and pick an SDK
- Stand up a server and keep it online
- Write the auth, the schemas and the error handling
- Redeploy every time a tool changes
With SchemaBridge
- Drop your API onto the canvas
- Tag an entry point as a tool
- Hit deploy — the server is hosted for you
- Change a tool by editing the workflow
Try it before you trust it
Build the server, connect your agent and watch it work before you pay a cent. The free plan is genuinely free — no card, no trial clock, no AI key to bring.
- 1,000 workflow runs every month, free
- AI models included — no OpenAI key to obtain or store
- No credit card to start
Do I have to write any code?
No. You build the workflow on a visual canvas — gateway steps for your API calls, an entry point tagged as a tool. The MCP server is generated from that workflow.
Which MCP clients can connect?
Any MCP-compatible client, including Claude Desktop and Cursor, over a local stdio connection or a secured remote URL.
Where does the server run?
SchemaBridge hosts it. There is no server for you to deploy, scale or keep alive — the workflow is the server.
What can a single tool do?
Whatever a workflow can do: call one endpoint, chain several, reshape the response, branch on a condition, or wait for a human approval before returning.