# jamf-platform-mcp-server

> jamf-platform-mcp-server — jackvaughanjr-jamf-platform-mcp-server. Use this tool when you need to integrate AI assistants with Jamf fleet management, providing read-only access to device and group information via the Jamf Platform API Gateway. It solves problems related to automation auditing, device queries, and fleet overview, accepting OAuth2 client credentials as input and returning relevant data as output. Ideal for use cases requiring secure, programmatic access to Jamf fleet data for AI-driven insights and automation.

Canonical page: https://skillsregistry.net/skills/jackvaughanjr-jamf-platform-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/jackvaughanjr-jamf-platform-mcp-server

## Description

MCP server giving AI assistants read-only access to a Jamf fleet via the Jamf Platform API Gateway using OAuth2 client credentials, with tools for fleet overview, device queries, group membership, automation auditing, and passthrough requests.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ip9a3nn8f7)
- **Repository:** <https://github.com/jackvaughanjr/jamf-platform-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": "jackvaughanjr-jamf-platform-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jackvaughanjr-jamf-platform-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jackvaughanjr-jamf-platform-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
