mcp-link

MCP.Pizza Chef: automation-ai-labs

MCP Link is a server that automates the conversion of any OpenAPI V3 specification into a fully functional MCP server. It standardizes and streamlines the integration of RESTful APIs into AI-driven applications by generating complete MCP interfaces automatically, eliminating manual errors and saving development time. This enables seamless compatibility with AI agents and enhances the AI ecosystem by bridging the gap between APIs and MCP standards.

Use This MCP server To

Automatically convert OpenAPI V3 APIs to MCP servers Integrate existing RESTful APIs with AI agent ecosystems Generate standardized MCP interfaces from API schemas Reduce manual coding errors in MCP server creation Accelerate AI application development with ready MCP servers Enable AI agents to call any OpenAPI-based API seamlessly

README

MCP Link - Convert Any OpenAPI V3 API to MCP Server

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🧩 Architecture

MCP Link

πŸ€” Why MCP Link?

There is a notable gap in the current AI Agent ecosystem:

  • Most MCP Servers are simple wrappers around Web APIs
  • Functionality interfaces may not be complete, depending on developer implementation
  • Manual creation of MCP interfaces is time-consuming and error-prone
  • Lack of standardized conversion processes

MCP Link solves these issues through automation and standardization, allowing any API to easily join the AI-driven application ecosystem.

🌟 Key Features

  • Automatic Conversion: Generate complete MCP Servers based on OpenAPI Schema
  • Seamless Integration: Make existing RESTful APIs immediately compatible with AI Agent calling standards
  • Complete Functionality: Ensure all API endpoints and features are correctly mapped
  • Zero Code Modification: Obtain MCP compatibility without modifying the original API implementation
  • Open Standard: Follow the MCP specification to ensure compatibility with various AI Agent frameworks

🌐 Online Version

Try our hosted version at mcp-link.vercel.app to quickly convert and test your APIs without installation.

πŸš€ Quick Start

Installation

# Clone repository
git clone https://github.com/automation-ai-labs/mcp-link.git
cd mcp-openapi-to-mcp-adapter

# Install dependencies
go mod download

Running

# Specify port
go run main.go serve --port 8080 --host 0.0.0.0

Parameter Description

  • s= - URL of the OpenAPI specification file
  • u= - Base URL of the target API
  • h= - Authentication header format, in the format of header-name:value-prefix
  • f= - Path filter expressions to include or exclude API endpoints. Syntax:
    • +/path/** - Include all endpoints under /path/
    • -/path/** - Exclude all endpoints under /path/
    • +/users/*:GET - Include only GET endpoints for /users/{id}
    • Multiple filters can be separated by semicolons: +/**:GET;-/internal/**
    • Wildcards: * matches any single path segment, ** matches zero or more segments

Examples

_ API MCP Link URL Authentication Method
Brave Brave Search https://mcp-link.vercel.app/links/brave API Key
DuckDuckGo DuckDuckGo https://mcp-link.vercel.app/links/duckduckgo None
Figma Figma https://mcp-link.vercel.app/links/figma API Token
GitHub GitHub https://mcp-link.vercel.app/links/github Bearer Token
Home Assistant Home Assistant https://mcp-link.vercel.app/links/homeassistant Bearer Token
Notion Notion https://mcp-link.vercel.app/links/notion Bearer Token
Slack Slack https://mcp-link.vercel.app/links/slack Bearer Token
Stripe Stripe https://mcp-link.vercel.app/links/stripe Bearer Token
TMDB TMDB https://mcp-link.vercel.app/links/tmdb Bearer Token
YouTube YouTube https://mcp-link.vercel.app/links/youtube Bearer Token

Usage in AI Agents

{
  "mcpServers": {
    "@service-name": {
      "url": "http://localhost:8080/sse?s=[OpenAPI-Spec-URL]&u=[API-Base-URL]&h=[Auth-Header]:[Value-Prefix]"
    }
  }
}

These URLs allow any API with an OpenAPI specification to be immediately converted into an MCP-compatible interface accessible to AI Agents.

πŸ“‹ Future Development

  • MCP Protocol OAuthflow: Implement OAuth authentication flow support for MCP Protocol
  • Resources Support: Add capability to handle resource-based API interactions
  • MIME Types: Enhance support for various MIME types in API requests and responses

mcp-link FAQ

How does MCP Link handle incomplete OpenAPI specifications?
MCP Link attempts to generate the most complete MCP server possible, but may require manual adjustments for incomplete or ambiguous OpenAPI specs.
Can MCP Link convert APIs with complex authentication schemes?
Yes, MCP Link supports common authentication methods defined in OpenAPI, enabling secure API integration.
Is MCP Link compatible with all RESTful APIs?
MCP Link works with any API that provides a valid OpenAPI V3 schema, covering most RESTful APIs.
How does MCP Link improve AI agent interoperability?
By standardizing API interfaces into MCP servers, it ensures AI agents can reliably discover and call API functions.
Does MCP Link support real-time API updates?
MCP Link can regenerate MCP servers when the OpenAPI schema changes, facilitating up-to-date integrations.
What programming languages are supported for the generated MCP servers?
MCP Link generates language-agnostic MCP server definitions that can be implemented in various languages.
How do I deploy an MCP server generated by MCP Link?
The generated MCP server can be deployed like any standard MCP server, typically as a lightweight adapter exposing the API.