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Swagger to MCP Gateway turns an OpenAPI spec into MCP tools, credentials kept server-side.
Grounded in available product and source data
Convert OpenAPI to MCP tools, no code is exactly what this Gateway is built to do: point it at a Swagger/OpenAPI spec or a database, and it auto-generates the MCP tools an AI agent would otherwise need custom code to call.
What comes out isn't a raw, unfiltered dump of every operation either — generated tools can be reviewed, renamed, hidden, or given custom descriptions specifically to steer how an agent selects and uses them, and selective publishing means a team chooses exactly which operations get exposed rather than handing an agent the entire API surface by default. Database connectivity covers PostgreSQL and SQL Server directly, alongside any source with a valid OpenAPI spec.
Security is handled at the Gateway layer rather than trusting an agent's prompt to behave: credentials, validation, rate limits, quotas, and redacted logs all stay server-side, out of what actually reaches the model. Before anything connects to a real agent, Gateway Chat provides a live testing environment, and once tools are live, analytics track call volume, success rates, and latency per tool — the site's own demo shows a 'search_orders' tool at a 99.1% success rate and 284ms average latency, giving a concrete sense of what production monitoring actually looks like rather than an abstract promise.
External MCP clients — Claude, Cursor, and VS Code are named specifically — connect once tools are validated, so the workflow moves from spec to tested, governed MCP tool without hand-writing integration code at any step. Three tiers scale by integration count and monthly tool-call volume: Free covers a single integration with 1,000 monthly calls and a 30-per-minute rate limit, Pro raises that to 10 integrations and 50,000 monthly calls, and Team reaches 50 integrations with 200,000 monthly calls and the highest rate limit at 300 per minute.
No — that's the specific problem it solves; MCP tools generate automatically from a Swagger/OpenAPI spec or a connected database, without hand-writing the integration layer.
No — credentials, validation, limits, and quotas are kept server-side on the Gateway itself, specifically so they're never exposed in what actually reaches the agent's prompt.
No — connecting a source doesn't mean every operation goes live automatically, so a sensitive endpoint can stay excluded from what any agent ever sees.
Tool analytics track call volume, success rate, and latency per tool directly, and Gateway Chat allows live testing before ever connecting an external MCP client like Claude or Cursor.
Almost certainly — Free is capped at a single integration, so any second data source pushes a team into a paid tier regardless of how light their call volume is.
