How to integrate Kibana MCP with Google ADK

This guide walks you through connecting Kibana to Google ADK using the Composio tool router. By the end, you'll have a working Kibana agent that can visualize weekly sales data as a chart, list top error logs from last 24 hours, generate dashboard of user activity trends through natural language commands. This guide will help you understand how to give your Google ADK agent real control over a Kibana account through Composio's Kibana MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Kibana is a visualization and analytics platform for Elasticsearch data. It helps you explore, visualize, and monitor your data using intuitive dashboards and interactive tools.

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Introduction

This guide walks you through connecting Kibana to Google ADK using the Composio tool router. By the end, you'll have a working Kibana agent that can visualize weekly sales data as a chart, list top error logs from last 24 hours, generate dashboard of user activity trends through natural language commands.

This guide will help you understand how to give your Google ADK agent real control over a Kibana account through Composio's Kibana MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

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OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLILangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get a Kibana account set up and connected to Composio
  • Install the Google ADK and Composio packages
  • Create a Composio Tool Router session for Kibana
  • Build an agent that connects to Kibana through MCP
  • Interact with Kibana using natural language

What is Google ADK?

Google ADK (Agents Development Kit) is Google's framework for building AI agents powered by Gemini models. It provides tools for creating agents that can use external services through the Model Context Protocol.

Key features include:

  • Gemini Integration: Native support for Google's Gemini models
  • MCP Toolset: Built-in support for Model Context Protocol tools
  • Streamable HTTP: Connect to external services through streamable HTTP
  • CLI and Web UI: Run agents via command line or web interface

What is the Kibana MCP server, and what's possible with it?

The Kibana MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Kibana account. It provides structured and secure access so your agent can perform Kibana operations on your behalf.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • A Google API key for Gemini models
  • A Composio account and API key
  • Python 3.9 or later installed
  • Basic familiarity with Python
2

Getting API Keys for Google and Composio

Google API Key
  • Go to Google AI Studio and create an API key.
  • Copy the key and keep it safe. You will put this in GOOGLE_API_KEY.
Composio API Key and User ID
  • Log in to the Composio dashboard.
  • Go to Settings → API Keys and copy your Composio API key. Use this for COMPOSIO_API_KEY.
  • Decide on a stable user identifier to scope sessions, often your email or a user ID. Use this for COMPOSIO_USER_ID.
3

Install dependencies

bash
pip install google-adk composio python-dotenv

Inside your virtual environment, install the required packages.

What's happening:

  • google-adk is Google's Agents Development Kit
  • composio connects your agent to Kibana via MCP
  • python-dotenv loads environment variables
4

Set up ADK project

bash
adk create my_agent

Set up a new Google ADK project.

What's happening:

  • This creates an agent folder with a root agent file and .env file
5

Set environment variables

bash
GOOGLE_API_KEY=your-google-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id-or-email

Save all your credentials in the .env file.

What's happening:

  • GOOGLE_API_KEY authenticates with Google's Gemini models
  • COMPOSIO_API_KEY authenticates with Composio
  • COMPOSIO_USER_ID identifies the user for session management
6

Import modules and validate environment

python
import os
import warnings

from composio import Composio
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()

warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")
What's happening:
  • os reads environment variables
  • Composio is the main Composio SDK client
  • GoogleProvider declares that you are using Google ADK as the agent runtime
  • Agent is the Google ADK LLM agent class
  • McpToolset lets the ADK agent call MCP tools over HTTP
7

Create Composio client and Tool Router session

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["kibana"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url,
print(f"Composio MCP URL: {COMPOSIO_MCP_URL}")
What's happening:
  • Authenticates to Composio with your API key
  • Declares Google ADK as the provider
  • Spins up a short-lived MCP endpoint for your user and selected toolkit
  • Stores the MCP HTTP URL for the ADK MCP integration
8

Set up the McpToolset and create the Agent

python
composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Kibana operations."
    ),
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
What's happening:
  • Connects the ADK agent to the Composio MCP endpoint through McpToolset
  • Uses Gemini as the model powering the agent
  • Lists exact tool names in instruction to reduce misnamed tool calls
9

Run the agent

bash
# Run in CLI mode
adk run my_agent

# Or run in web UI mode
adk web

Execute the agent from the project root. The web command opens a web portal where you can chat with the agent.

What's happening:

  • adk run runs the agent in CLI mode
  • adk web . opens a web UI for interactive testing

Complete Code

Here's the complete code to get you started with Kibana and Google ADK:

python
import os
import warnings

from composio import Composio
from composio_google import GoogleProvider
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()
warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

composio_client = Composio(api_key=COMPOSIO_API_KEY, provider=GoogleProvider())

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["kibana"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url


composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Kibana operations."
    ),  
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")

Conclusion

You've successfully integrated Kibana with the Google ADK through Composio's MCP Tool Router. Your agent can now interact with Kibana using natural language commands.

Key takeaways:

  • The Tool Router approach dynamically routes requests to the appropriate Kibana tools
  • Environment variables keep your credentials secure and separate from code
  • Clear agent instructions reduce tool calling errors
  • The ADK web UI provides an interactive interface for testing and development

You can extend this setup by adding more toolkits to the toolkits array in your session configuration.

TOOLS

Supported Tools

Every Kibana action and event your agent gets out of the box.

Delete Alerting Rule

Tool to delete an alerting rule in Kibana.

Delete Connector

Tool to delete a connector in Kibana.

Delete Fleet Output

Tool to delete a specific output configuration in Kibana Fleet.

Delete Fleet Proxy

Deletes a Fleet proxy configuration by its unique identifier.

Delete List

Deletes a list.

Delete Osquery Saved Query

Delete a saved Osquery query by its saved object ID.

Delete Saved Object

Tool to delete a saved object in Kibana.

Find Kibana Alerts

Tool to find and/or aggregate detection alerts in Kibana.

Get Action Types

Retrieves all available connector types (actions) in Kibana.

Get Alerting Rules

Tool to retrieve a list of alerting rules in Kibana.

Get Rule Types

Retrieves available rule types (alert types) in Kibana.

Get Cases

Tool to retrieve a list of cases in Kibana.

Get All Connectors

Tool to retrieve a list of all connectors in Kibana.

Get Data Views

Retrieves all data views (formerly known as index patterns) available in Kibana.

Find Detection Engine Rules

Retrieves a paginated list of Kibana detection engine rules with flexible filtering and sorting options.

Get Endpoint List Items

Retrieves Elastic Endpoint exception list items with filtering, pagination, and sorting capabilities.

Get Entity Store Engines

Retrieves all entity store engines configured in Kibana.

List Entity Store Entities

Tool to list entity records in the entity store with support for paging, sorting, and filtering.

Get Entity Store Status

Retrieves the current status of the Kibana Entity Store and its configured engines.

Get Fleet Agent Policies

Retrieves a paginated list of Fleet agent policies with filtering, sorting, and optional detailed information.

Get Fleet Agents Available Versions

Tool to retrieve the available versions for Fleet agents.

Get Fleet Agents Setup Status

Check Fleet setup readiness and identify missing requirements.

Check Fleet Permissions

Tool to check the permissions for the Fleet API.

Get Fleet Enrollment API Key

Tool to retrieve details of a specific enrollment API key by its ID.

Get Fleet Enrollment API Keys

Tool to fetch a list of enrollment API keys.

Get Fleet EPM Categories

Get all available package categories in the Elastic Package Manager (EPM) with package counts.

Get Fleet EPM Data Streams

Tool to retrieve the list of data streams in the Elastic Package Manager.

Get Fleet EPM Package Details

Retrieves comprehensive details for a specific Fleet integration package version from the Elastic Package Manager (EPM).

Get Fleet EPM Package File

Retrieves a specific file from an Elastic Package Manager (EPM) package.

Get Fleet EPM Packages

Tool to fetch the list of available packages in the Elastic Package Manager.

Get Installed EPM Packages

Tool to retrieve the list of installed packages in the Elastic Package Manager.

Get Fleet EPM Packages (Limited)

Retrieves a limited list of package names from the Elastic Package Manager (EPM) registry.

Get EPM Package Statistics

Retrieves usage statistics for a specific Fleet package in Kibana, including the number of package policies and agent policies using the package.

Get Fleet Package Policies

Retrieves a list of Fleet package policies (integration policies) in Kibana.

Get Fleet Server Host

Tool to fetch details of a specific Fleet server host by its item ID.

Get Fleet Server Hosts

Tool to retrieve the list of Fleet Server hosts.

Get Index Management Indices

Tool to fetch information about indices managed by Kibana's Index Management feature.

Get Node Metrics

Tool to retrieve statistics for nodes in an Elasticsearch cluster, often visualized in Kibana.

Get Reporting Jobs

Tool to retrieve a list of reporting jobs in Kibana.

Get Saved Objects

Tool to retrieve a list of saved objects in Kibana based on specified criteria.

Get Kibana Status

Tool to get the current status of Kibana.

Create Alerting Rule

Tool to create a new alerting rule in Kibana.

Create Case

Tool to create a new case in Kibana.

Create Kibana Connector

Tool to create a new connector in Kibana.

Create Dashboard

Tool to create a new dashboard in Kibana.

Create Data View

Tool to create a new data view (index pattern) in Kibana.

Create or Update Saved Object

Tool to create or update a saved object in Kibana.

FRAMEWORKS

How to build Kibana MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Kibana MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Kibana MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Kibana MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Kibana MCP with Claude Cowork

Codex logo

Codex

Use Kibana MCP with Codex

OpenClaw logo

OpenClaw

Use Kibana MCP with OpenClaw

Hermes logo

Hermes

Use Kibana MCP with Hermes

CLI logo

CLI

Use Kibana MCP with CLI

LangChain logo

LangChain

Use Kibana MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Kibana MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Kibana MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Kibana MCP with LlamaIndex

CrewAI logo

CrewAI

Use Kibana MCP with CrewAI

FAQ

Frequently asked questions

With a standalone Kibana MCP server, the agents and LLMs can only access a fixed set of Kibana tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Kibana and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Google ADK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Kibana tools.

Yes, absolutely. You can configure which Kibana scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Kibana data and credentials are handled as safely as possible.

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A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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