How do I generate a Bearer Token in Rancher?

Log into your Rancher UI. Go to your User Profile menu and select 'API & Keys'. Create a new API Key with appropriate scopes. Combine the generated Access Key and Secret Key using a colon (`AccessKey:SecretKey`), or use the final Bearer Token provided to authenticate the MCP server.

Does the integration require direct cluster network access?

No, the MCP server acts exclusively by pinging the overarching main Rancher Server API URL rather than connecting locally to standard cluster API endpoints separately. Your network configuration remains secure as it relies completely on the Rancher gateway role.

Can I deploy new workloads to my cluster via the chat interface?

Currently, the server allows listing and fetching comprehensive statuses for namespaces, workloads, endpoints, clusters, and pods natively to observe the infrastructure state interactively without allowing unmanaged destructive configurations to roll out purely based on prompt.

Rancher MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Rancher
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Rancher as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="rancher_agent",
    instruction=(
        "You help users interact with Rancher "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Rancher MCP Server

Connect your Rancher Kubernetes management platform to your AI agent, allowing seamless orchestration of your container infrastructure directly from a chat interface. By integrating this server, your AI can introspect and interact with multiple remote Kubernetes clusters managed governed by your Rancher deployment.

Google ADK natively supports Rancher as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Cluster Oversight — List and examine the status of all managed clusters connected to your Rancher control plane.
Namespace Discovery — Explore specific logical partitions (namespaces) within those clusters without digging into complex kubectl configuration.
Workload Management — Access deployments, daemonsets, and statefulsets to observe operational health across environments.
Pod Introspection — Query individual pod states, find crashing containers, and pull context faster than running manual CLI queries.

The Rancher MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Rancher to Google ADK via MCP

Follow these steps to integrate the Rancher MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Rancher via MCP

Why Use Google ADK with the Rancher MCP Server

Google ADK provides unique advantages when paired with Rancher through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Rancher

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Rancher tools with BigQuery, Vertex AI, and Cloud Functions

Rancher + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Rancher MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Rancher and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Rancher tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Rancher regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Rancher

Rancher MCP Tools for Google ADK (10)

These 10 tools become available when you connect Rancher to Google ADK via MCP:

get_cluster

Retrieves details for a specific Kubernetes cluster

get_project

Retrieves details for a specific Rancher project

list_apps

Lists Helm applications installed in a project

list_catalogs

Lists available Helm chart repositories (Catalogs)

list_clusters

Lists all Kubernetes clusters managed by Rancher

list_namespaces

Lists Kubernetes namespaces associated with a project

list_nodes

Lists all nodes within a specific cluster

list_projects

Use this to find project IDs. Lists logical projects within a cluster

list_users

Lists all user accounts in the Rancher platform

list_workloads

Lists all Kubernetes workloads (Deployments, StatefulSets) in a project

Example Prompts for Rancher in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Rancher immediately.

"List all Kubernetes clusters managed by my Rancher instance."

"Query the namespaces available inside cluster 'c-8xk9z'."

"Check the status of the 'auth-service' pod located in the 'backend-production' namespace on cluster 'c-lq4x2'."

Troubleshooting Rancher MCP Server with Google ADK

Common issues when connecting Rancher to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Rancher + Google ADK FAQ

Common questions about integrating Rancher MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.