How to Use the JumpCloud MCP in Claude Code

Q: What's the benefit of the http transport for Claude Code with JumpCloud?

The http transport is ideal for non-interactive environments like CI/CD pipelines or Docker containers. It's a simple request/response model that's stateless and reliable, which is exactly what you want for automated scripts querying your JumpCloud data.

Q: How do I handle pagination when listing thousands of users?

The tool schemas for list operations like listusers often include parameters for pagination, such as limit and skip or a cursor. You'll need to call the tool in a loop within your script, updating the pagination parameter with each call until you've received all the data.

Pipe your entire JumpCloud directory into any script or CI/CD pipeline. Your terminal is now a full-fledged admin console with Claude Code.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect JumpCloud MCP to Claude Code

Create your Vinkius account to connect JumpCloud to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup JumpCloud with Claude Code

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate Security Audits in CI/CD

This MCP server exposes your core JumpCloud data as simple commands. In a GitHub Actions workflow, you can run `claude mcp exec jumpcloud-mcp list_users` and pipe the clean JSON output directly to a tool like `jq` for processing. Set up a cron job that runs `claude mcp exec jumpcloud-mcp list_users --filter 'suspended=true'` and compares it against your HR records. If there's a mismatch, it triggers an alert. It's simple, reliable automation that runs anywhere.

Script Bulk Device and Policy Checks

Need a list of all Linux servers to verify their configuration? Run `claude mcp exec jumpcloud-mcp list_systems --filter 'os=linux'` and pipe the system IDs to your own management script. The output is predictable and easy to parse. You can chain commands in a single shell script to perform complex checks. Get system groups with `list_system_groups`, then iterate through each group to check its members against policies fetched with `list_policies`. It’s ideal for headless compliance verification.

Query Users and Groups from the Shell

This isn't just for heavy automation. From your local terminal, you can quickly get details on a specific account with `claude mcp exec jumpcloud-mcp get_user --id 'some_user_id'`. The response is immediate and formatted as clean JSON. It makes quick admin checks fast and scriptable. Find out which groups a person belongs to with `list_user_groups` or audit recent admin actions with `list_commands`. Since the output is just text, it integrates perfectly with standard Unix tools like `grep`, `awk`, and `sed`.

Setup guide

Set up JumpCloud MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see jumpcloud-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest JumpCloud transactions." It will automatically discover and invoke the available JumpCloud tools.

Terminal

claude mcp add --transport http jumpcloud-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the JumpCloud MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "jumpcloud-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by JumpCloud. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect JumpCloud now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about JumpCloud MCP in Claude Code

First, add your Vinkius endpoint token as a repository secret. Then, in your workflow file, install Claude Code and run `claude mcp add` to configure the JumpCloud server. Now you can use `claude mcp exec` commands to query your directory as a build step.

No. This server provides a read-only interface to the JumpCloud API. You can list users, systems, and policies, but you cannot use it to make changes. It's designed for safe, repeatable auditing.

The `http` transport is ideal for non-interactive environments like CI/CD pipelines or Docker containers. It's a simple request/response model that's stateless and reliable, which is exactly what you want for automated scripts querying your JumpCloud data.

The tool schemas for list operations like `list_users` often include parameters for pagination, such as `limit` and `skip` or a cursor. You'll need to call the tool in a loop within your script, updating the pagination parameter with each call until you've received all the data.

Your Claude Code client only sends tool calls, like requests for JumpCloud user lists, system details, and policy configurations. The Vinkius server processes these in a stateless, zero-trust environment. No query data or API keys are ever logged or stored.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript