# Open WebUI MCP Server

> Use this tool when you need to manage and administer Open WebUI resources, such as users, groups, and models, through a standardized API interface. It solves problems related to administrative control, resource discovery, and permission management, providing a comprehensive and secure way to interact with the platform. Ideal for use cases requiring automated or programmatic management of Open WebUI resources, with inputs including API requests and outputs including administrative data and control signals.

Canonical page: https://skillsregistry.net/skills/troylar-open-webui-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/troylar-open-webui-mcp-server

## Description

Exposes Open WebUI's admin APIs as tools, allowing AI assistants to manage users, groups, models, knowledge bases, and chats. It enables comprehensive administrative control and resource discovery while respecting the platform's native permission and authentication systems.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/znhjefsf9h)
- **Repository:** <https://github.com/troylar/open-webui-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": "troylar-open-webui-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/troylar-open-webui-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/troylar-open-webui-mcp-server/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