Auto-MCP: Compile APIs into Model Context Protocol Servers

Auto-MCP is Karada’s automated compilation engine that turns software APIs into production-ready Model Context Protocol (MCP) servers.

What is Auto-MCP?
Auto-MCP is Karada.ai’s automated pipeline that translates API specifications (OpenAPI and Postman) into fully-compliant Model Context Protocol servers. It maps API endpoints to native LLM tool definitions, translates JSON schemas into MCP input parameters, and proxies runtime authentication with zero handwritten integration code.

Continuous CI/CD Spec Sync

API schemas change constantly in modern engineering environments. Karada connects directly to your repository webhooks or raw specification URLs to keep tools in sync with CI/CD on every API deploy and spec drift. When an API endpoint changes, Karada re-compiles tool definitions with zero downtime and sub-100ms hot-reloads.

How the Pipeline Works

Specification Parsing: Karada ingests your public URL, repository webhook, or uploaded API specification (OpenAPI or Postman).
Schema Translation: Translates nested JSON Schema objects, query parameters, path variables, and request bodies into strict MCP input schemas.
Endpoint-to-Tool Mapping: Every operation becomes an MCP tool. The tool description derives directly from your spec’s summary and description fields, providing the model with exact semantic usage guidance.
Proxy Runtime: Generates a self-contained runtime supporting stateless Streamable HTTP transport and local stdio.

Architecture Comparison

Feature	Manual MCP Wrapper	Generic Community Proxies	Karada.ai Auto-MCP
Engine Runtime	Node.js / Python	TypeScript	Native Go Engine (sub-5ms p99)
Specification Support	Manual per endpoint	Partial OpenAPI v3	Complete APIs (OpenAPI & Postman)
CI/CD Spec Sync	Manual redeploy	None	Automated Webhook Drift Sync
Parameter Validation	Manual boilerplate	Partial JSON schema	Strict native schema validation
Authentication Proxy	Custom middleware	Static headers only	Dynamic credential delegation
Multiplexing	1 process per server	Not supported	Integrated MCP Gateway support
Deployment Target	Self-managed	Local stdio only	1-Click Hosted Cloud or Local ZIP

API to MCP Schema Mapping

Auto-MCP maps standard API constructs into MCP protocol equivalents:

API Specification Construct	MCP Server Equivalent	AI Assistant Role
`operationId` / `path`	`tool.name`	Callable identifier invoked by the LLM
`summary` / `description`	`tool.description`	Natural language instructions guiding tool selection
`parameters` (path, query)	`inputSchema.properties`	Typed parameters supplied during tool execution
`requestBody` (JSON schema)	`inputSchema.properties`	Structured payload validated before proxying
`securitySchemes`	Dynamic proxy headers	Secrets injected at runtime (shielded from the LLM)

Authentication Handling

Auto-MCP automatically detects security definitions in your API spec (API Keys, Bearer Tokens, Basic Auth). When running a generated server locally, supply credentials as environment variables:

# Example: Running a generated server with Bearer auth
API_KEY="your-secret-token" npm start

When deployed to Karada Cloud, set these credentials in your project’s Environment Variables tab. Karada injects the headers into outbound REST calls, ensuring your private keys are never exposed in model context windows.

Connecting to AI Clients

Cursor IDE Configuration

In Cursor, navigate to Settings > Features > MCP and add a new MCP server with:

Type: sse or command
URL: https://gateway.karada.ai/mcp (or your project’s hosted endpoint)

Claude Code & Claude Desktop Configuration

Edit your claude_desktop_config.json:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "my-api-tools": {
      "command": "node",
      "args": ["/absolute/path/to/karada-server/build/index.js"],
      "env": {
        "API_KEY": "your-secret-token"
      }
    }
  }
}

Getting Started

1. Build & CI/CD Sync

2. Composable Middleware

3. Managed Hosting

4. Unified Gateway

Account

Playbooks

Troubleshooting

Resources

Auto-MCP: Compile APIs into Model Context Protocol Servers

Continuous CI/CD Spec Sync

How the Pipeline Works

Architecture Comparison

API to MCP Schema Mapping

Authentication Handling

Connecting to AI Clients

Cursor IDE Configuration

Claude Code & Claude Desktop Configuration

​Continuous CI/CD Spec Sync

​How the Pipeline Works

​Architecture Comparison

​API to MCP Schema Mapping

​Authentication Handling

​Connecting to AI Clients

​Cursor IDE Configuration

​Claude Code & Claude Desktop Configuration

Continuous CI/CD Spec Sync

How the Pipeline Works

Architecture Comparison

API to MCP Schema Mapping

Authentication Handling

Connecting to AI Clients

Cursor IDE Configuration

Claude Code & Claude Desktop Configuration