# Gin-MCP

> Use this tool when you need to integrate your Gin API with Model Context Protocol-compatible clients, such as AI assistants, to expose existing endpoints with minimal setup. Gin-MCP automatically discovers routes, infers schemas, and handles MCP communication, saving developers from writing tedious boilerplate code. Ideal for teams seeking to make their APIs instantly accessible to AI assistants with just a single line of code.

Canonical page: https://skillsregistry.net/skills/ckanthony-gin  
JSON: https://api.skillsregistry.net/v1/skills/ckanthony-gin

## Description

Gin-MCP is a zero-configuration bridge that automatically exposes existing Gin API endpoints as Model Context Protocol tools. Developed by Anthony WK Chan, this implementation allows developers to integrate their Gin applications with MCP-compatible clients like Cursor with minimal setup—just a single line of code. The library intelligently discovers routes, infers schemas from Go structs, and handles all the MCP communication details through Server-Sent Events. Particularly valuable for teams looking to make their existing APIs instantly accessible to AI assistants without writing tedious boilerplate code.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ckanthony-gin)
- **Repository:** <https://github.com/ckanthony/gin-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ckanthony-gin"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ckanthony-gin` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ckanthony-gin/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt