# mcp-ziti

> mcp-ziti — smilindave26-mcp-ziti. Use this tool when you need to integrate AI agents with the OpenZiti network, enabling them to manage and interact with the network's resources and configurations. It exposes the OpenZiti Management API, allowing agents to send and receive data in a standardized format. Ideal for use cases requiring automated network management and configuration, such as git-based workflows.

Canonical page: https://skillsregistry.net/skills/smilindave26-mcp-ziti  
JSON: https://api.skillsregistry.net/v1/skills/smilindave26-mcp-ziti

## Description

An MCP (Model Context Protocol) server that exposes the OpenZiti Management API to AI agents.

## 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/smilindave26/mcp-ziti)

## 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": "smilindave26-mcp-ziti"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/smilindave26-mcp-ziti` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/smilindave26-mcp-ziti/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