Rancher
Let your coding agent query and drive Rancher Kubernetes clusters through the Rancher API without leaving Claude Code or Cursor.
Overview
Rancher MCP is an Operate-phase MCP server that integrates the Rancher API so your agent can inspect and act on Kubernetes clusters from the editor.
What is this MCP server?
- Stdio MCP server installable via uvx from PyPI (rancher-mcp-server 0.1.0)
- Connects with RANCHER_API_KEY plus optional RANCHER_API_URL
- Exposes Rancher API operations to Claude Code, Cursor, Codex, and other MCP clients
- Useful for scripted cluster checks, project context, and ops questions during incidents
- MCP protocol integration—not a local kubectl wrapper skill
- Package version 0.1.0 on PyPI
- Transport: stdio
- Runtime hint: uvx
What problem does it solve?
Switching between Rancher dashboards and your IDE breaks flow when you need quick cluster facts or API-backed answers during deploys and incidents.
Who is it for?
Indie devs or tiny teams already on Rancher who want Claude or Cursor to pull live cluster state through MCP stdio.
Skip if: Builders without Rancher, or anyone who only needs local docker-compose and never touches a management API.
What do I get? / Deliverables
After registration, your agent can call Rancher-backed MCP tools with your API credentials and carry cluster context into the next debugging or deploy step.
- Registered stdio MCP server pointing at your Rancher API
- Agent-accessible Rancher API operations within coding sessions
- Documented env vars for key and base URL in client config
Recommended MCP Servers
Journey fit
Rancher sits where solo builders and small teams run and change production clusters—after ship, in ongoing infrastructure work. Infra is the canonical shelf for cluster registration, workloads, and Rancher-managed environments rather than app feature coding.
How it compares
MCP API bridge to Rancher, not an in-repo Kubernetes manifest authoring skill.
Common Questions / FAQ
Who is Rancher MCP for?
Solo and small-team builders using Rancher who want their AI coding agent to reach the Rancher API via Model Context Protocol.
When should I use Rancher MCP?
Use it during operate and infra work when you need agent-assisted cluster questions, checks, or API workflows without leaving Claude Code or Cursor.
How do I add Rancher MCP to my agent?
Install rancher-mcp-server from PyPI with uvx, set RANCHER_API_KEY (required) and RANCHER_API_URL if needed, and register the stdio server in your MCP client config.