# OpenZiti

> Use this tool when you need to manage and configure zero-trust networks using natural language, integrating with Large Language Models (LLMs) to simplify network administration. It solves problems related to network security, authentication, and policy management, providing a comprehensive interface for managing identities, services, and fabric operations. The tool accepts natural language inputs and outputs network configurations, making it ideal for use cases that require complex network management and multi-profile support.

Canonical page: https://skillsregistry.net/skills/openziti  
JSON: https://api.skillsregistry.net/v1/skills/openziti

## Description

OpenZiti MCP Server integrates with LLMs to manage OpenZiti zero-trust networks using natural language. The server provides comprehensive network management including identities, services, edge routers, policies, authenticators, certificate authorities, and fabric operations. It supports multiple authentication modes (UPDB, device auth, client credentials, identity file) and multi-profile management for handling multiple networks simultaneously.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

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

## 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": "openziti"
    }
  }
}
```

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