No-code MCP Gateway for APIs and databases

Turn APIs and databases into MCP tools for AI agents

Import a Swagger/OpenAPI spec or connect a PostgreSQL or SQL Server scope, generate MCP tools, edit descriptions for agent behavior, and test the result instantly in Gateway Chat. The Gateway keeps auth, validation, limits, and logs server-side.

No custom MCP server codeEditable tool descriptionsGateway Chat testServer-side authOpenAPI + SQL sources
Product preview · API becomes an MCP tool surface

Step 1

Import the OpenAPI spec

Paste the OpenAPI URL, add upstream auth, and let the Gateway discover operations.

OpenAPI URL

https://demoapi.../swagger.json

Base URL

/api/v1

Auth

Bearer Token

Detected

18 operations ready for review

Gateway output

MCP surface created

MCP URL

/mcp/service-ops

Credentials stay server-side.

Step 2

Review generated MCP tools

Pick which operations agents can see and rewrite descriptions so tool choice is obvious.

Generated tools

GETPublished

search_orders

POSTPublished

create_ticket

GETHidden

get_customer_status

Selected tool

search_orders

Published

Agent-ready description

Search approved orders by customer, status, or date range before support actions.

Only published tools appear in MCP clients.

Gateway Chat

Service Operations API

Ask a real question. Chat selects the published MCP tool and shows the call.

You

Which open Acme orders need support follow-up?

Assistant

I will call the published order tool and summarize the result.

Tool activity

search_orders

succeeded · 284ms

3 open orders found. 1 delayed shipment needs follow-up.

Step 4

See calls and latency

After tool calls run, usage shows call volume, success rate, latency, and redacted logs.

Total Calls

1,248

Success

98.7%

Avg Latency

284ms

Last 24h

312

Call Volume

42
09
61
10
86
11
54
12
104
13

Tool Analytics

search_orders99.1%
create_ticket97.5%

request arguments redacted · response stored

What you can publish

Publish agent-ready MCP surfaces from APIs and databases

Generate a useful MCP catalog, curate what agents can see, and keep execution controls in the Gateway.

See gateway overview

OpenAPI to MCP

Import a Swagger/OpenAPI spec, generate MCP tools, edit descriptions for AI agents, and publish selected operations.

Explore API publishing

Database to MCP

Publish PostgreSQL or SQL Server scopes as metadata-only schema tools plus validated QueryPlan or SQL executors.

Explore database scopes

Secure MCP Gateway

Keep credentials, validation, limits, quotas, and redacted logs in the Gateway instead of prompts or local client config.

Explore the gateway

How it works

Create a safe MCP surface without hand-written adapters

Step 1

Connect a source

Start with a Swagger/OpenAPI URL or a PostgreSQL or SQL Server database connection.

Step 2

Generate MCP tools

Create a model-facing MCP catalog without writing a custom MCP server for every source.

Step 3

Tune tool descriptions

Review, rename, hide, and describe tools so AI clients choose the right capability with better arguments.

Step 4

Test or connect clients

Validate the surface in Gateway Chat, then connect Claude, Cursor, VS Code, or any MCP-compatible client.

Product Walkthrough

See how a source becomes an MCP surface

Watch the product flow from source import to generated tools, curated descriptions, published MCP URL, and in-app testing.

Publish your first API

Pricing

Plans built for growth

Start free, then scale capacity as MCP traffic increases.

Free

For trying the gateway and small projects.

$0forever

  • Up to 1 integrations
  • 1,000 tool calls / month
  • 30 tool calls / min
See details

Pro

Popular

For production workflows and growing usage.

$9per month

or $69 per year

  • Up to 10 integrations
  • 50,000 tool calls / month
  • 120 tool calls / min
See details

Team

For organizations with high throughput.

$199per month

or $499 per year

  • Up to 50 integrations
  • 200,000 tool calls / month
  • 300 tool calls / min
See details

Ready to publish your first agent-ready MCP surface?

Start with an OpenAPI spec, connect a database scope, tune the tools, and test them in Gateway Chat before connecting external clients.