What can you do with MCP Link?
- 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
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
MCP Link - Convert Any OpenAPI V3 API to MCP Server
🧩 Architecture
🤔 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.
🚀 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 fileu=- Base URL of the target APIh=- Authentication header format, in the format ofheader-name:value-prefixf=- 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 Search | https://mcp-link.vercel.app/links/brave | API Key | |
| DuckDuckGo | https://mcp-link.vercel.app/links/duckduckgo | None | |
| Figma | https://mcp-link.vercel.app/links/figma | API Token | |
| GitHub | https://mcp-link.vercel.app/links/github | Bearer Token | |
| Home Assistant | https://mcp-link.vercel.app/links/homeassistant | Bearer Token | |
| Notion | https://mcp-link.vercel.app/links/notion | Bearer Token | |
| Slack | https://mcp-link.vercel.app/links/slack | Bearer Token | |
| Stripe | https://mcp-link.vercel.app/links/stripe | Bearer Token | |
| TMDB | https://mcp-link.vercel.app/links/tmdb | Bearer Token | |
| 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.
📋 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
Frequently asked questions
What is MCP Link?
Integrate any API with AI agents using its OpenAPI schema.
How do I install MCP Link?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is MCP Link open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains MCP Link?
It is published by automation-ai-labs. AI.tn lists it but does not maintain or endorse it.
From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.