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automation-ai-labs/mcp-link

Convert Any OpenAPI V3 API to MCP Server

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Our verdict

Not reviewed yet

We have not reviewed automation-ai-labs/mcp-link yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About automation-ai-labs/mcp-link

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

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

Notes

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

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

Key facts

What we have checked

Days since the last commit
570
Checked GitHub
GitHub forks
69
Checked GitHub
GitHub stars
625
Checked GitHub
Days to a first reply on issues
35.7
Checked GitHub
Open issues
7
Checked GitHub
Releases in the last 90 days
0
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

How to use

How to set it up

As the listing publishes it. We have not run this install.

Install

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

Tools exposed

  • go

Example client config

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

Install

Add automation-ai-labs/mcp-link to your client

Not verified yet

No install recipe yet. We write one for Claude Code, Claude Desktop, Cursor, VS Code, Codex and ChatGPT when the server is in the official MCP registry with a package or remote address we can use.

Until then, follow the project's own README, or the setup the listing publishes under How to set it up.

Works with

What automation-ai-labs/mcp-link connects to

No confirmed connections yet. A product appears here when the server's registry name, repo, homepage or name ties it to that product, and a client appears when we have an install recipe for it.

Health and security

Is automation-ai-labs/mcp-link looked after, and what do its setup files show

Health score

15 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity0 of 30Last push 570 days ago
Releases0 of 150 releases in 90 days
Issue replies0 of 20First reply in 35.7 days (median)
Maintainer15 of 15Owned by an organisation
Official source0 of 20Community server

Alternatives

Alternatives to automation-ai-labs/mcp-link

RecordTypeHow we knowChecked
googleapis/genai-toolboxThis is an alternative to itMCP serverNamed in the listingNot dated

Compare

Compare automation-ai-labs/mcp-link side by side

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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