conduit-openapi-mcp
Generates MCP tools for all Stripe API endpoints (e.g., charges, customers, payments) by using Stripe's OpenAPI specification.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@conduit-openapi-mcpuse the Petstore API at https://petstore3.swagger.io/api/v3/openapi.json"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
conduit-openapi-mcp
Turn any OpenAPI / Swagger spec into an MCP server. One tool per endpoint, zero code.
Point it at a spec URL or file, give it auth, and every operation in the API becomes a tool your AI client can call. Built by the team behind Conduit.
Pointed at Stripe's OpenAPI spec, it generates 587 tools from one URL. (Behind Conduit, your agent sees a handful of meta-tools and searches them, for ~90% fewer tokens.)
npx conduit-openapi-mcpQuick start
It's configured entirely through environment variables, so it drops into any MCP client. The only required one is the spec:
{
"mcpServers": {
"petstore": {
"command": "npx",
"args": ["-y", "conduit-openapi-mcp"],
"env": {
"OPENAPI_SPEC": "https://petstore3.swagger.io/api/v3/openapi.json"
}
}
}
}That one URL gives the model 19 tools (getPetById, findPetsByStatus, addPet, ...), each with the right input schema pulled straight from the spec.
Not on npm yet? Until it's published, run from source: clone the repo,
npm install && npm run build, then swap thenpxline for"command": "node", "args": ["/absolute/path/to/conduit-openapi-mcp/dist/index.js"].
With auth
Most real APIs need a key. Pass the header name and value:
"env": {
"OPENAPI_SPEC": "https://api.example.com/openapi.json",
"OPENAPI_AUTH_HEADER": "Authorization",
"OPENAPI_AUTH_VALUE": "Bearer YOUR_TOKEN"
}Related MCP server: MCPGen
Configuration
Env var | Required | Description |
| yes | URL or file path to an OpenAPI 3.x / Swagger 2.0 spec. |
| no | Override the API base URL (defaults to the spec's |
| no | Header name for auth, e.g. |
| no | The auth value, e.g. |
| no | Prefix added to every tool name (e.g. |
| no | Regex; only operations whose tool name matches are exposed. |
| no | Regex; operations whose tool name matches are dropped. |
Pairs perfectly with Conduit
A real API spec is often 50 to 200+ endpoints. Point this at one and your AI client gets 50 to 200+ tool definitions dumped into the model's context on every request, plus fat JSON responses that bloat it further.
Conduit fixes both halves:
Lazy discovery collapses those 200 tools into 3 the agent searches on demand (~90% fewer tokens).
Result-shaping caps oversized API responses so a 10,000-row reply doesn't blow your context.
So this server gives you the whole API, and Conduit makes it cheap to actually use.
How it works
Loads and dereferences the spec (via
@apidevtools/swagger-parser).Maps each operation to an MCP tool: the
operationIdbecomes the tool name; parameters and the request body become the input schema.On a call, builds the HTTP request (path / query / header params, JSON body, your auth header) and returns the response.
Runs on stdio, no network ports, and your auth token stays in the env you give it.
Contributing
Issues and PRs are welcome. To hack on it: npm install, then npm run build.
License
MIT
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