How to integrate Kibana MCP with Mastra AI

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Introduction

This guide walks you through connecting Kibana to Mastra AI 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 Mastra AI 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.

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Kibana tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Kibana tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Kibana agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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.

Supported Tools & Triggers

Tools
Delete ActionTool to delete an action in kibana.
Delete Alerting RuleTool to delete an alerting rule in kibana.
Delete ConnectorTool to delete a connector in kibana.
Delete Fleet OutputTool to delete a specific output configuration in kibana fleet.
Delete Fleet ProxyTool to delete a specific fleet proxy configuration by its id.
Delete ListDeletes a list.
Delete Osquery Saved QueryTool to delete a saved osquery query by its id.
Delete Saved ObjectTool to delete a saved object in kibana.
Find Kibana AlertsTool to find and/or aggregate detection alerts in kibana.
Get Action TypesTool to fetch the list of available action types (e.
Get Alerting RulesTool to retrieve a list of alerting rules in kibana.
Get Alert TypesTool to retrieve available alert types in kibana.
Get CasesTool to retrieve a list of cases in kibana.
Get All ConnectorsTool to retrieve a list of all connectors in kibana.
Get Data ViewsTool to retrieve a list of data views available in kibana.
Find Detection Engine RulesRetrieves a list of detection engine rules based on specified criteria.
Get Endpoint List ItemsTool to retrieve all items from an endpoint exception list.
Get Entity Store EnginesRetrieves the list of engines from the entity store.
List Entity Store EntitiesTool to list entity records in the entity store with support for paging, sorting, and filtering.
Get Entity Store StatusTool to retrieve the status of the entity store in kibana.
Get Fleet Agent PoliciesFetches a list of agent policies in fleet.
Get Fleet Agents Available VersionsTool to retrieve the available versions for fleet agents.
Get Fleet Agents Setup StatusTool to check if the fleet agents are set up.
Check Fleet PermissionsTool to check the permissions for the fleet api.
Get Fleet Data StreamsRetrieves the list of data streams in fleet.
Get Fleet Enrollment API KeyTool to retrieve details of a specific enrollment api key by its id.
Get Fleet Enrollment API KeysTool to fetch a list of enrollment api keys.
Get Fleet EPM CategoriesTool to fetch the list of categories in the elastic package manager.
Get Fleet EPM Data StreamsTool to retrieve the list of data streams in the elastic package manager.
Get Fleet EPM Package DetailsTool to fetch details of a specific package and version in the elastic package manager (epm).
Get Fleet EPM Package FileTool to retrieve a specific file from a package in the elastic package manager.
Get Fleet EPM PackagesTool to fetch the list of available packages in the elastic package manager.
Get Installed EPM PackagesTool to retrieve the list of installed packages in the elastic package manager.
Get Fleet EPM Packages (Limited)Tool to fetch a limited list of packages from the elastic package manager.
Get EPM Package StatisticsTool to retrieve statistics for a specific package in the elastic package manager.
Get Fleet Package PoliciesTool to retrieve a list of all package policies (agent & epm), providing their ids and associated details.
Get Fleet Server HostTool to fetch details of a specific fleet server host by its item id.
Get Fleet Server HostsTool to retrieve the list of fleet server hosts.
Get Index Management IndicesTool to fetch information about indices managed by kibana's index management feature.
Get Node MetricsTool to retrieve statistics for nodes in an elasticsearch cluster, often visualized in kibana.
Get Reporting JobsTool to retrieve a list of reporting jobs in kibana.
Get Saved ObjectsTool to retrieve a list of saved objects in kibana based on specified criteria.
Get Kibana StatusTool to get the current status of kibana.
Create Alerting RuleTool to create a new alerting rule in kibana.
Create CaseTool to create a new case in kibana.
Create Kibana ConnectorTool to create a new connector in kibana.
Create DashboardTool to create a new dashboard in kibana.
Create Data ViewTool to create a new data view (index pattern) in kibana.
Create or Update Saved ObjectTool to create or update a saved object in kibana.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

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

How the Tool Router works

The Tool Router 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

Prerequisites

Before starting, make sure you have:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Kibana through MCP.

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session

Create a Tool Router session for Kibana

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["kibana"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Kibana MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "kibana" for Kibana access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Kibana toolkit

Create the Mastra agent

typescript
const agent = new Agent({
    name: "kibana-mastra-agent",
    instructions: "You are an AI agent with Kibana tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        kibana: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Kibana toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Kibana and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["kibana"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      kibana: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "kibana-mastra-agent",
    instructions: "You are an AI agent with Kibana tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { kibana: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Kibana through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows

How to build Kibana MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Kibana MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Kibana MCP with Claude Agent SDK

Google ADK

Google ADK

Use Kibana MCP with Google ADK

LangChain

LangChain

Use Kibana MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Kibana MCP with Vercel AI SDK

LlamaIndex

LlamaIndex

Use Kibana MCP with LlamaIndex

CrewAI

CrewAI

Use Kibana MCP with CrewAI

Claude Code

Claude Code

Use Kibana MCP with Claude Code

Codex

Codex

Use Kibana MCP with Codex

FAQ

What are the differences in Tool Router MCP and Kibana MCP?

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.

Can I use Tool Router MCP with Mastra AI?

Yes, you can. Mastra AI 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.

Can I manage the permissions and scopes for Kibana while using Tool Router?

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.

How safe is my data with Composio Tool Router?

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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