MCP Link

Overview

The MCP Link server bridges the gap between traditional RESTful services and modern AI‑assistant ecosystems by turning any OpenAPI v3 specification into a fully‑featured MCP server with minimal effort. For developers who rely on the Model Context Protocol to expose tools, resources, and prompts to AI agents, MCP Link eliminates the manual labor of writing adapters or re‑implementing endpoints. By parsing a standard OpenAPI document, the tool automatically generates all required MCP resources—tools for each operation, prompt templates, and streaming interfaces—while preserving the original API’s semantics.

What makes this server valuable is its zero‑code modification guarantee. A developer can point MCP Link at an existing API’s base URL and its OpenAPI spec, supply optional authentication headers, and receive a ready‑to‑use MCP endpoint that behaves exactly like the original service. This ensures consistency across deployments, reduces bugs introduced by hand‑crafted wrappers, and speeds up onboarding for new APIs into AI workflows. The resulting MCP server is fully compliant with the MCP specification, making it interoperable with any agent framework that understands the protocol.

Key capabilities include:

• Automatic conversion from OpenAPI v3 to MCP, covering all endpoints, parameters, and response schemas.
• Endpoint filtering through expressive path expressions that allow selective inclusion or exclusion of routes, enabling fine‑grained control over the exposed toolset.
• Authentication handling via a simple header format, supporting API keys, bearer tokens, or custom prefixes without altering the target service.
• Hosted demo at , letting teams prototype and test conversions instantly without local setup.

Real‑world scenarios where MCP Link shines are plentiful: a data‑science team can expose a legacy analytics API to an LLM so it can generate queries; a home‑automation engineer can convert Home Assistant’s REST interface into an MCP server, enabling voice‑controlled agents to trigger lights or sensors; a SaaS provider can publish its product API to third‑party AI assistants, allowing customers to manage resources directly through conversational agents. In each case, the automated conversion removes boilerplate, guarantees standardization, and accelerates time‑to‑value.

By integrating seamlessly into existing AI pipelines—merely adding the generated MCP URL to an agent’s configuration—the tool fits naturally into modern workflows. Its open‑standard approach ensures that any MCP‑compliant agent, whether from Claude, OpenAI, or a custom framework, can immediately interact with the converted API. The combination of automation, compliance, and flexibility gives MCP Link a distinct advantage over manual wrappers, making it an essential component for developers looking to expand the reach of their APIs into the AI‑assistant ecosystem.