Now in public beta

Turn your APIs into
MCP servers

Expose your existing APIs as Model Context Protocol servers without touching your infrastructure. Multi-tenant, secure, ready in minutes.

claude_desktop_config.json

// Add to your Claude Desktop config

{

"mcpServers": {

"sales-api": {

"url": "https://mcp.acme.com/sales",

"headers": {

"x-api-key": "mcp_01j9z..."

}

}

}

}

Everything you need to ship MCP integrations

From key management to usage analytics — MCPForDevs handles the plumbing so you can focus on your product.

Zero infrastructure changes

Point to your existing APIs. We handle the MCP protocol, auth, and routing — your APIs stay untouched.

Multi-tenant by design

Each organization gets isolated MCP servers with independent tools and API keys. Built for SaaS products.

Secure key management

Issue, rotate, and revoke API keys with fine-grained control. Keys are hashed — the raw value is shown only once.

Usage analytics

Track tool calls, latency, and errors across all your MCP servers from a single dashboard.

Visual tool builder

Map your API endpoints to MCP tools with a simple UI — path, query, and body parameters, no code required.

Serverless, auto-scaling

Built on AWS Lambda and API Gateway. No servers to manage, pay per request, scales to zero.

Up and running in minutes

No SDK to integrate, no protocol to implement. Just point and configure.

01

Create an MCP server

Register your organization and create a server with a unique slug — that slug becomes your endpoint URL.

02

Define your tools

Map your API endpoints to MCP tools. Add parameters, configure auth, and describe what each tool does for the LLM.

03

Get your API key

Generate an API key for your server and share it with your AI client — Claude Desktop, Cursor, or any MCP app.

04

Your AI calls your APIs

The LLM discovers and calls your tools. MCPForDevs proxies requests to your APIs securely, logs every call.