automation-ai-labs/mcp-link

Overview

A Go-based tool that converts OpenAPI V3 specifications into MCP servers. It reads an OpenAPI spec and generates a server that exposes the underlying APIs through the Model Context Protocol.

Best for

Best for
Developers needing to quickly bridge existing REST APIs into the Model Context Protocol ecosystem

Use cases

• Turn existing REST APIs into MCP servers for AI agent integration
• Rapidly prototype MCP endpoints from standardized API descriptions
• Enable MCP-compatible clients to call OpenAPI-defined services

How to use

Install

git clone https://github.com/automation-ai-labs/mcp-link.git && cd mcp-openapi-to-mcp-adapter && go mod download

Tools exposed

• go

Example client config

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

Notes

A Go-based tool that converts OpenAPI V3 specifications into MCP servers. It reads an OpenAPI spec and generates a server that exposes the underlying APIs through the Model Context Protocol.

609 stars on GitHub. Last updated 2025-04-03. Licensed MIT.

Use cases

• Turn existing REST APIs into MCP servers for AI agent integration
• Rapidly prototype MCP endpoints from standardized API descriptions
• Enable MCP-compatible clients to call OpenAPI-defined services

Pros

• Uses OpenAPI V3 specs as the single source of truth, reducing manual setup
• Written in Go, offering good performance and easy binary distribution
• Open source with a growing community (609 stars) for potential contributions

Cons

• Limited to OpenAPI V3 inputs, excluding Swagger 2.0 or other formats
• May not handle complex API behaviors or non-standard OpenAPI extensions
• Requires familiarity with both OpenAPI and MCP protocols to debug or customize

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.