# OpenZiti Network

> Use this tool when you need to manage and administer zero-trust network overlays through natural language, solving problems related to identity and service management, policy configuration, and security. It provides a comprehensive interface with 80+ tools and supports multiple authentication methods, allowing AI agents to interact with the OpenZiti Management API. Ideal for use cases requiring secure and flexible network administration, it offers a self-contained solution with extensive testing and integration capabilities.

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

## Description

Comprehensive MCP server for the OpenZiti Management API that enables AI agents to administer zero-trust network overlays through natural language. Provides 80+ tools covering identity and service management, policy configuration, edge router administration, certificate authority operations, enrollment workflows, OIDC authentication, posture checks, and database maintenance. Supports five authentication methods including identity files, username/password, client certificates, external JWT tokens, and OIDC client credentials with interactive browser-based device authorization grant. Built as a single self-contained Go binary with extensive integration testing against live OpenZiti networks.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/smilindave26-openziti)
- **Repository:** <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-openziti"
    }
  }
}
```

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