# Nexi

> Nexi — ahzia-nexi. Use this tool when you need to integrate AI agents with existing backend systems, enabling them to leverage API functionality without requiring extensive coding. Nexi solves the problem of connecting AI models to legacy systems, providing a visual interface for creating and managing Model Context Protocol (MCP) endpoints. It takes in backend APIs and outputs MCP endpoints that AI agents can call, making it ideal for use cases where coding is a barrier to AI adoption.

Canonical page: https://skillsregistry.net/skills/ahzia-nexi  
JSON: https://api.skillsregistry.net/v1/skills/ahzia-nexi

## Description

Nexi is a platform that allows businesses to expose their existing backend APIs as MCP (Model Context Protocol) endpoints that AI agents can call. The platform provides a visual, interactive interface for creating and managing MCP tools, making it easy to connect AI agents (e.g., ChatGPT Custom GPTs) to backend systems without coding.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/ahzia/Nexi)

## 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": "ahzia-nexi"
    }
  }
}
```

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