How to integrate Bugsnag MCP with Vercel AI SDK v6

This guide walks you through connecting Bugsnag to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Bugsnag agent that can bulk update error statuses for project x, invite new collaborator to your organization, create a saved search for critical errors through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Bugsnag account through Composio's Bugsnag MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Bugsnag is an error monitoring and stability management platform for software teams. It helps developers quickly detect, prioritize, and resolve application bugs for a smoother user experience.

60 Tools

Introduction

This guide walks you through connecting Bugsnag to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Bugsnag agent that can bulk update error statuses for project x, invite new collaborator to your organization, create a saved search for critical errors through natural language commands.

This guide will help you understand how to give your Vercel AI SDK agent real control over a Bugsnag account through Composio's Bugsnag MCP server.

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

Also integrate Bugsnag with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • How to set up and configure a Vercel AI SDK agent with Bugsnag integration
  • Using Composio's Tool Router to dynamically load and access Bugsnag tools
  • Creating an MCP client connection using HTTP transport
  • Building an interactive CLI chat interface with conversation history management
  • Handling tool calls and results within the Vercel AI SDK framework

What is Vercel AI SDK?

The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state.

Key features include:

  • streamText: Core function for streaming responses with real-time tool support
  • MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp
  • Step Counting: Control multi-step tool execution with stopWhen: stepCountIs()
  • OpenAI Provider: Native integration with OpenAI models

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

The Bugsnag MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Bugsnag account. It provides structured and secure access to your error monitoring environment, so your agent can perform actions like managing errors, configuring integrations, inviting collaborators, and customizing project event fields on your behalf.

  • Bulk error management and updates: Let your agent update or clear multiple errors across your projects to streamline incident response and maintenance.
  • Integration configuration and cleanup: Have your agent set up new third-party integrations or remove existing ones, ensuring your Bugsnag projects are always connected to the right tools.
  • User and collaborator management: Easily invite new collaborators to your organization or remove access for old members, keeping your team roster up to date.
  • Custom event field creation and deletion: Direct your agent to add or remove custom event fields for advanced filtering and analytics within your projects.
  • Project-level administration and cleanup: Instruct your agent to perform large-scale actions such as deleting all errors or even entire projects, giving you powerful administrative control when needed.

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 you begin, make sure you have:
  • Node.js and npm installed
  • A Composio account with API key
  • An OpenAI API key
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install required dependencies

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

First, install the necessary packages for your project.

What you're installing:

  • @ai-sdk/openai: Vercel AI SDK's OpenAI provider
  • @ai-sdk/mcp: MCP client for Vercel AI SDK
  • @composio/core: Composio SDK for tool integration
  • ai: Core Vercel AI SDK
  • dotenv: Environment variable management
4

Set up environment variables

bash
OPENAI_API_KEY=your_openai_api_key_here
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here

Create a .env file in your project root.

What's needed:

  • OPENAI_API_KEY: Your OpenAI API key for GPT model access
  • COMPOSIO_API_KEY: Your Composio API key for tool access
  • COMPOSIO_USER_ID: A unique identifier for the user session
5

Import required modules and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

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

if (!process.env.OPENAI_API_KEY) 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,
});
What's happening:
  • We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio
  • The dotenv/config import automatically loads environment variables
  • The MCP client import enables connection to Composio's tool server
6

Create Tool Router session and initialize MCP client

typescript
async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["bugsnag"],
  });

  const mcpUrl = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Bugsnag tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned mcp object contains the URL and authentication headers needed to connect to the MCP server
  • This session provides access to all Bugsnag-related tools through the MCP protocol
7

Connect to MCP server and retrieve tools

typescript
const mcpClient = await createMCPClient({
  transport: {
    type: "http",
    url: mcpUrl,
    headers: session.mcp.headers, // Authentication headers for the Composio MCP server
  },
});

const tools = await mcpClient.tools();
What's happening:
  • We're creating an MCP client that connects to our Composio Tool Router session via HTTP
  • The mcp.url provides the endpoint, and mcp.headers contains authentication credentials
  • The type: "http" is important - Composio requires HTTP transport
  • tools() retrieves all available Bugsnag tools that the agent can use
8

Initialize conversation and CLI interface

typescript
let messages: ModelMessage[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log(
  "Ask any questions related to bugsnag, like summarize my last 5 emails, send an email, etc... :)))\n",
);

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

rl.prompt();
What's happening:
  • We initialize an empty messages array to maintain conversation history
  • A readline interface is created to accept user input from the command line
  • Instructions are displayed to guide the user on how to interact with the agent
9

Handle user input and stream responses with real-time tool feedback

typescript
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({ role: "user", content: trimmedInput });
  console.log("\nAgent is thinking...\n");

  try {
    const stream = streamText({
      model: openai("gpt-5"),
      messages,
      tools,
      toolChoice: "auto",
      stopWhen: stepCountIs(10),
      onStepFinish: (step) => {
        for (const toolCall of step.toolCalls) {
          console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

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

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • We use streamText instead of generateText to stream responses in real-time
  • toolChoice: "auto" allows the model to decide when to use Bugsnag tools
  • stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations
  • onStepFinish callback displays which tools are being used in real-time
  • We iterate through the text stream to create a typewriter effect as the agent responds
  • The complete response is added to conversation history to maintain context
  • Errors are caught and displayed with helpful retry suggestions

Complete Code

Here's the complete code to get you started with Bugsnag and Vercel AI SDK:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

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

if (!process.env.OPENAI_API_KEY) 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,
});

async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["bugsnag"],
  });

  const mcpUrl = session.mcp.url;

  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      url: mcpUrl,
      headers: session.mcp.headers, // Authentication headers for the Composio MCP server
    },
  });

  const tools = await mcpClient.tools();

  let messages: ModelMessage[] = [];

  console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
  console.log(
    "Ask any questions related to bugsnag, like summarize my last 5 emails, send an email, etc... :)))\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({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    try {
      const stream = streamText({
        model: openai("gpt-5"),
        messages,
        tools,
        toolChoice: "auto",
        stopWhen: stepCountIs(10),
        onStepFinish: (step) => {
          for (const toolCall of step.toolCalls) {
            console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

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

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});

Conclusion

You've successfully built a Bugsnag agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback.

Key features of this implementation:

  • Real-time streaming responses for a better user experience with typewriter effect
  • Live tool execution feedback showing which tools are being used as the agent works
  • Dynamic tool loading through Composio's Tool Router with secure authentication
  • Multi-step tool execution with configurable step limits (up to 10 steps)
  • Comprehensive error handling for robust agent execution
  • Conversation history maintenance for context-aware responses

You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.
TOOLS

Supported Tools

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

Add Collaborator to Teams

Tool to add a collaborator to a group of teams in a Bugsnag organization.

Add Collaborators to Team

Tool to add collaborators to a team in a Bugsnag organization.

Bulk Update Errors

Bulk update multiple errors in a Bugsnag project.

Configure Integration

Tool to configure a new integration for a Bugsnag project.

Confirm Project Event Data Deletion

Confirms a project event data deletion request in Bugsnag.

Invite Collaborator

Invites a new collaborator to a Bugsnag organization by email.

Create Custom Event Field

Creates a custom event field for a Bugsnag project, enabling filtering and pivoting on custom metadata.

Create Organization Project

Tool to create a new project in a Bugsnag organization.

Create Organization Team

Tool to create a new team in a Bugsnag organization.

Create Organization Data Deletion Request

Tool to create an event data deletion request for GDPR/CCPA compliance.

Create Organization Data Request

Tool to create an event data request for a Bugsnag organization (GDPR/CCPA compliance).

Create Project Event Data Deletion Request

Tool to create an event data deletion request for a specific project.

Create Project Event Data Request

Tool to create an event data request for a Bugsnag project.

Create Saved Search

Creates a saved search (filterset) for a Bugsnag project that persists filter and sort configurations.

Delete All Errors in a Project

Permanently deletes all errors and event data from a Bugsnag project.

Delete Collaborator

Removes a collaborator from a Bugsnag organization.

Delete a configured integration

Tool to delete a configured integration.

Delete Custom Event Field

Deletes a custom event field from a Bugsnag project.

Delete Organization

Permanently deletes a Bugsnag organization.

Delete Organization Team

Tool to delete a team from a Bugsnag organization.

Delete Project

Permanently deletes a Bugsnag project.

Delete Saved Search

Permanently deletes a saved search (filterset) from a Bugsnag project.

Get Configured Integration

Tool to retrieve details of a specific configured integration by its ID.

Get Organization By ID

Tool to view an organization by its ID.

Get Organization Collaborator Project Access Counts

Tool to view the project count of collaborators in an organization.

Get Organization Collaborator Projects

Tool to view projects a collaborator has access to in an organization.

Get Organization Event Data Request

Tool to check the status of an organization event data request.

Get Organization Team

Tool to show the details of a team in an organization.

Get Organization Data Deletion Status

Tool to check the status of an organization event data deletion request in Bugsnag.

Get Pivot Values on a Project

List pivot values for a project, showing how events are distributed across different values of a field.

Get Project Data Deletion Status

Tool to check the status of a project event data deletion request in Bugsnag.

Get Project Event Data Request

Tool to check the status of a project event data request.

Get Project Network Grouping Ruleset

Tool to retrieve a project's network grouping ruleset.

Get Saved Search

Retrieves the details of a specific saved search by its unique ID.

Get Saved Search Usage Summary

Retrieves usage statistics for a saved search, showing how it is being used across the project.

List Collaborator Access Details for Projects

Tool to list summary details of the projects a collaborator has access to.

List Collaborators

Tool to list collaborators in an organization.

List Collaborators on Project

Tool to list collaborators on a project.

List Configured Integrations for Project

Retrieves all configured integrations for a Bugsnag project.

List Errors on Project

List all errors in a Bugsnag project with optional filtering and sorting.

List Event Fields for Project

Lists all event fields available for filtering and pivoting in a Bugsnag project.

List Events for Error

Lists individual error event occurrences for a specific error group.

List Events on Project

List all error events for a Bugsnag project.

List Organizations

Tool to list organizations for the authenticated user.

List Organization Teams

Tool to list teams in an organization.

List Pivots for Project

Lists all pivot field definitions for a Bugsnag project.

List Project Feature Flags

List feature flags on a Bugsnag project for a specific release stage.

List Project Feature Flag Summaries

List feature flag summaries for a Bugsnag project with optional search filtering.

List Projects

Tool to list projects in an organization.

List Release Groups

Tool to list release groups for a project.

List Releases

List all releases (deployed versions) of a Bugsnag project.

List Saved Searches on Project

Lists all saved searches for a Bugsnag project.

List Supported Integrations

Tool to list all supported integrations.

List Trends for Project Buckets

Retrieves time-segmented event counts (trend buckets) for a Bugsnag project.

Regenerate Project API Key

Regenerates a Bugsnag project's notifier API key.

Show Collaborator Access Details for Project

Tool to show a collaborator's access details for a project.

Show Collaborator on Organization

Tool to show a collaborator in an organization.

Show Collaborator on Project

Tool to show a collaborator in a project.

Test Integration

Tool to test an integration configuration before deploying it.

Update Collaborator Permissions

Tool to update a collaborator's project access permissions.

FRAMEWORKS

How to build Bugsnag MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Bugsnag MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Bugsnag MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Bugsnag MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Bugsnag MCP with Claude Cowork

Codex logo

Codex

Use Bugsnag MCP with Codex

OpenClaw logo

OpenClaw

Use Bugsnag MCP with OpenClaw

Hermes logo

Hermes

Use Bugsnag MCP with Hermes

CLI logo

CLI

Use Bugsnag MCP with CLI

Google ADK logo

Google ADK

Use Bugsnag MCP with Google ADK

LangChain logo

LangChain

Use Bugsnag MCP with LangChain

Mastra AI logo

Mastra AI

Use Bugsnag MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Bugsnag MCP with LlamaIndex

CrewAI logo

CrewAI

Use Bugsnag MCP with CrewAI

FAQ

Frequently asked questions

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

Yes, you can. Vercel AI SDK v6 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 Bugsnag tools.

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

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Co-founder, Slashy

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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Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

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CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

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Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

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With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

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