# Apache APISIX

> Use this tool when you need to integrate AI applications with Apache APISIX, enabling it to serve as a Model Context Protocol (MCP) server. It solves problems related to AI model management and deployment, providing a scalable and flexible interface for AI applications. With Apache APISIX MCP, users can input AI model requests and receive output responses, making it ideal for use cases involving real-time AI inference and model serving.

Canonical page: https://skillsregistry.net/skills/api7-apisix  
JSON: https://api.skillsregistry.net/v1/skills/api7-apisix

## Description

A plugin for Apache APISIX that implements the Model Context Protocol (MCP) server, allowing APISIX to serve as an MCP server for AI applications.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/api7-apisix)
- **Repository:** <https://github.com/api7/apisix-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": "api7-apisix"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/api7-apisix` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/api7-apisix/pull`

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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