How to integrate Better stack MCP with Mastra AI

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Introduction

This guide walks you through connecting Better stack to Mastra AI using the Composio tool router. By the end, you'll have a working Better stack agent that can show uptime percentage for api monitor, create escalation policy for on-call team, list heartbeat availability for last week, delete unused source group from logging through natural language commands.

This guide will help you understand how to give your Mastra AI agent real control over a Better stack account through Composio's Better stack 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 Better stack tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Better stack 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 Better stack 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 Better stack MCP server, and what's possible with it?

The Better stack MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Better Stack account. It provides structured and secure access to your monitoring, logging, and incident management tools, so your agent can perform actions like retrieving uptime metrics, managing escalation policies, checking heartbeat statuses, and organizing log sources on your behalf.

  • Monitor health checks and availability: Let your agent fetch uptime percentages, availability summaries, and incident details for any monitor in your stack.
  • Automated escalation policy management: Instruct your agent to create or delete escalation policies, keeping your incident response workflows up-to-date without manual effort.
  • Heartbeat tracking and organization: Have your agent fetch specific heartbeat data, check heartbeat availability, or group related heartbeats for easier monitoring.
  • Log source grouping and management: Enable your agent to create or delete source groups, helping you organize log streams and maintain a tidy observability structure.
  • Webhook integration setup: Direct your agent to register outgoing webhooks so your stack can notify external systems of important events automatically.

Supported Tools & Triggers

Tools
Create Escalation PolicyTool to create a new escalation policy.
Create Heartbeat GroupTool to create a new heartbeat group.
Create Outgoing Webhook IntegrationTool to create a new outgoing webhook integration.
Create Source GroupTool to create a new source group.
Delete Escalation PolicyTool to delete an escalation policy by id.
Delete Source GroupTool to delete a source group by id.
Get HeartbeatTool to get a single heartbeat by id.
Get Heartbeat AvailabilityTool to retrieve availability summary for a specific heartbeat.
Get MonitorTool to get a single monitor.
Get Monitor AvailabilityTool to return an availability summary for a specific monitor.
Get Monitor Response TimesTool to return response times for a specific monitor.
Get Status PageTool to get a single status page by id.
Get Telemetry API TokenTool to retrieve the telemetry api token from the integration configuration.
Get Uptime API TokenTool to retrieve the configured uptime api token.
List Catalog RelationsTool to list all catalog relations.
List Google Monitoring IntegrationsTool to list all google monitoring integrations.
List Grafana IntegrationsTool to list all grafana integrations.
List HeartbeatsTool to list all heartbeats.
List MonitorsTool to list all monitors.
List New Relic IntegrationsTool to list new relic integrations.
List On-Call SchedulesTool to list all on-call schedules.
List Status Page ReportsTool to list all reports on a status page.
List Status PagesTool to list all your status pages.
Update HeartbeatTool to update an existing heartbeat configuration.
Update Heartbeat GroupTool to update an existing heartbeat group.
Update Source GroupTool to update an existing source group.

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 Better stack 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 Better stack

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

  const composioMCPUrl = session.mcp.url;
  console.log("Better stack MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "better_stack" for Better stack 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 Better stack toolkit

Create the Mastra agent

typescript
const agent = new Agent({
    name: "better_stack-mastra-agent",
    instructions: "You are an AI agent with Better stack 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: {
        better_stack: 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 Better stack 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 Better stack 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: ["better_stack"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "better_stack-mastra-agent",
    instructions: "You are an AI agent with Better stack 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: { better_stack: 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 Better stack 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 Better stack MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Better stack MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Better stack MCP with Claude Agent SDK

Google ADK

Google ADK

Use Better stack MCP with Google ADK

LangChain

LangChain

Use Better stack MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Better stack MCP with Vercel AI SDK

LlamaIndex

LlamaIndex

Use Better stack MCP with LlamaIndex

CrewAI

CrewAI

Use Better stack MCP with CrewAI

FAQ

What are the differences in Tool Router MCP and Better stack MCP?

With a standalone Better stack MCP server, the agents and LLMs can only access a fixed set of Better stack tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Better stack 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 Better stack tools.

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

Yes, absolutely. You can configure which Better stack 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 Better stack data and credentials are handled as safely as possible.

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