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mcp link

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Basic Information

MCP Link is a developer tool that automatically converts any OpenAPI v3 specification into an MCP compliant server so existing RESTful APIs can be called by AI Agents. The project addresses gaps in the agent ecosystem by generating standardized MCP servers that map API endpoints, parameters and authentication into an AI-friendly interface without requiring changes to the original API implementation. It is implemented in Go and provides a CLI/server mode to serve converted APIs locally. The conversion can be run as a service and exposed via a conversion endpoint. The README lists installation steps using go mod download and a run example using go run main.go serve with configurable host and port. The tool is positioned for teams wanting to make their APIs immediately consumable by agent frameworks and to reduce manual work and errors when creating MCP interfaces.

Links

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App URL
https://github.com/automation-ai-labs/mcp-link
Github Repository
https://github.com/automation-ai-labs/mcp-link/blob/main/README.md

App Details

Features
Automatic conversion from OpenAPI v3 to a full MCP Server. Seamless integration to make existing REST APIs compatible with AI agent calling standards while preserving original API functionality. Zero code modification required on the target API. Full mapping of endpoints and features to ensure complete functionality. Command line and server mode implemented in Go with an example run command and a conversion endpoint pattern that supports query parameters. Authentication header mapping is supported via a header parameter format. Endpoint path filters let you include or exclude specific paths and methods using include and exclude patterns with wildcards. A hosted demo is available for quick testing and multiple example service conversions are provided in the README.
Use Cases
MCP Link reduces developer effort and errors by automating the repetitive task of creating MCP-compatible interfaces for APIs. It standardizes conversions so different APIs become uniformly accessible to AI agents, accelerating integration with agent platforms. The tool supports authentication header configuration and fine-grained path filtering so teams can expose only the desired endpoints. It enables immediate use of many popular services as MCP servers without changing backend code, and it provides a local server mode for testing and development. The project also outlines planned improvements such as OAuth flow support, resource handling, and expanded MIME type support to broaden interoperability.

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