Bugsnag with LangChain

How to integrate Bugsnag MCP with LangChain

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Introduction Also integrate Bugsnag with TL;DR What is LangChain What is the Bugsnag MCP server Supported Tools & Triggers Creating MCP Server - Stand-alone vs Composio SDK Step-by-step Guide Complete Code Conclusion How to build Bugsnag MCP Agent with another framework Explore Other Toolkits FAQ

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Introduction

This guide walks you through connecting Bugsnag to LangChain 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 LangChain 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 SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK Vercel AI SDK Mastra AI LlamaIndex CrewAI

TL;DR

Here's what you'll learn:

Get and set up your OpenAI and Composio API keys
Connect your Bugsnag project to Composio
Create a Tool Router MCP session for Bugsnag
Initialize an MCP client and retrieve Bugsnag tools
Build a LangChain agent that can interact with Bugsnag
Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

Agent Framework: Build agents that can use tools and make decisions
MCP Integration: Connect to external services through Model Context Protocol adapters
Memory Management: Maintain conversation history across interactions
Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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.

Supported Tools & Triggers

Tools

Add Collaborator to TeamsTool to add a collaborator to a group of teams in a Bugsnag organization.

Add Collaborators to TeamTool to add collaborators to a team in a Bugsnag organization.

Bulk Update ErrorsBulk update multiple errors in a Bugsnag project.

Configure IntegrationTool to configure a new integration for a Bugsnag project.

Confirm Project Event Data DeletionConfirms a project event data deletion request in Bugsnag.

Invite CollaboratorInvites a new collaborator to a Bugsnag organization by email.

Create Custom Event FieldCreates a custom event field for a Bugsnag project, enabling filtering and pivoting on custom metadata.

Create Organization ProjectTool to create a new project in a Bugsnag organization.

Create Organization TeamTool to create a new team in a Bugsnag organization.

Create Organization Data Deletion RequestTool to create an event data deletion request for GDPR/CCPA compliance.

Create Organization Data RequestTool to create an event data request for a Bugsnag organization (GDPR/CCPA compliance).

Create Project Event Data Deletion RequestTool to create an event data deletion request for a specific project.

Create Project Event Data RequestTool to create an event data request for a Bugsnag project.

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

Delete All Errors in a ProjectPermanently deletes all errors and event data from a Bugsnag project.

Delete CollaboratorRemoves a collaborator from a Bugsnag organization.

Delete a configured integrationTool to delete a configured integration.

Delete Custom Event FieldDeletes a custom event field from a Bugsnag project.

Delete OrganizationPermanently deletes a Bugsnag organization.

Delete Organization TeamTool to delete a team from a Bugsnag organization.

Delete ProjectPermanently deletes a Bugsnag project.

Delete Saved SearchPermanently deletes a saved search (filterset) from a Bugsnag project.

Get Configured IntegrationTool to retrieve details of a specific configured integration by its ID.

Get Organization By IDTool to view an organization by its ID.

Get Organization Collaborator Project Access CountsTool to view the project count of collaborators in an organization.

Get Organization Collaborator ProjectsTool to view projects a collaborator has access to in an organization.

Get Organization Event Data RequestTool to check the status of an organization event data request.

Get Organization TeamTool to show the details of a team in an organization.

Get Organization Data Deletion StatusTool to check the status of an organization event data deletion request in Bugsnag.

Get Pivot Values on a ProjectList pivot values for a project, showing how events are distributed across different values of a field.

Get Project Data Deletion StatusTool to check the status of a project event data deletion request in Bugsnag.

Get Project Event Data RequestTool to check the status of a project event data request.

Get Project Network Grouping RulesetTool to retrieve a project's network grouping ruleset.

Get Saved SearchRetrieves the details of a specific saved search by its unique ID.

Get Saved Search Usage SummaryRetrieves usage statistics for a saved search, showing how it is being used across the project.

List Collaborator Access Details for ProjectsTool to list summary details of the projects a collaborator has access to.

List CollaboratorsTool to list collaborators in an organization.

List Collaborators on ProjectTool to list collaborators on a project.

List Configured Integrations for ProjectRetrieves all configured integrations for a Bugsnag project.

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

List Event Fields for ProjectLists all event fields available for filtering and pivoting in a Bugsnag project.

List Events for ErrorLists individual error event occurrences for a specific error group.

List Events on ProjectList all error events for a Bugsnag project.

List OrganizationsTool to list organizations for the authenticated user.

List Organization TeamsTool to list teams in an organization.

List Pivots for ProjectLists all pivot field definitions for a Bugsnag project.

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

List Project Feature Flag SummariesList feature flag summaries for a Bugsnag project with optional search filtering.

List ProjectsTool to list projects in an organization.

List Release GroupsTool to list release groups for a project.

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

List Saved Searches on ProjectLists all saved searches for a Bugsnag project.

List Supported IntegrationsTool to list all supported integrations.

List Trends for Project BucketsRetrieves time-segmented event counts (trend buckets) for a Bugsnag project.

Regenerate Project API KeyRegenerates a Bugsnag project's notifier API key.

Show Collaborator Access Details for ProjectTool to show a collaborator's access details for a project.

Show Collaborator on OrganizationTool to show a collaborator in an organization.

Show Collaborator on ProjectTool to show a collaborator in a project.

Test IntegrationTool to test an integration configuration before deploying it.

Update Collaborator PermissionsTool to update a collaborator's project access permissions.

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:

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

Step-by-step Guide

Prerequisites

Before starting this tutorial, make sure you have:

Python 3.10 or higher installed on your system
A Composio account with an API key
An OpenAI API key
Basic familiarity with Python and async programming

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.

Install dependencies

pip install composio-langchain langchain-mcp-adapters langchain python-dotenv

Install the required packages for LangChain with MCP support.

What's happening:

composio-langchain provides Composio integration for LangChain
langchain-mcp-adapters enables MCP client connections
langchain is the core agent framework
python-dotenv loads environment variables

Set up environment variables

bash

COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_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's API
COMPOSIO_USER_ID identifies the user for session management
OPENAI_API_KEY enables access to OpenAI's language models

Import dependencies

from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

What's happening:

We're importing LangChain's MCP adapter and Composio SDK
The dotenv import loads environment variables from your .env file
This setup prepares the foundation for connecting LangChain with Bugsnag functionality through MCP

Initialize Composio client

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")

What's happening:

We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
Creating a Composio instance that will manage our connection to Bugsnag tools
Validating that COMPOSIO_USER_ID is also set before proceeding

Create a Tool Router session

# Create Tool Router session for Bugsnag
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['bugsnag']
)

url = 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 session.mcp.url is the MCP server URL that your agent will use
This approach allows the agent to dynamically load and use Bugsnag tools as needed

Configure the agent with the MCP URL

client = MultiServerMCPClient({
    "bugsnag-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)

What's happening:

We're creating a MultiServerMCPClient that connects to our Bugsnag MCP server via HTTP
The client is configured with a name and the URL from our Tool Router session
get_tools() retrieves all available Bugsnag tools that the agent can use
We're creating a LangChain agent using the GPT-5 model

Set up interactive chat interface

conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Bugsnag related question or task to the agent.\n")

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ['exit', 'quit', 'bye']:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")

What's happening:

We initialize an empty conversation_history list to maintain context across interactions
A while loop continuously accepts user input from the command line
When a user types a message, it's added to the conversation history and sent to the agent
The agent processes the request using the ainvoke() method with the full conversation history
Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully

Run the application

if __name__ == "__main__":
    asyncio.run(main())

What's happening:

We call the main() function using asyncio.run() to start the application

Complete Code

Here's the complete code to get you started with Bugsnag and LangChain:

from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['bugsnag']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "bugsnag-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Bugsnag related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've successfully built a LangChain agent that can interact with Bugsnag through Composio's Tool Router.

Key features of this implementation:

Dynamic tool loading through Composio's Tool Router
Conversation history maintenance for context-aware responses
Async Python provides clean, efficient execution of agent workflows

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

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TOOLKIT MARKETPLACE

FAQ

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

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.

Can I use Tool Router MCP with LangChain?

Yes, you can. LangChain 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.

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

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.

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 Bugsnag data and credentials are handled as safely as possible.

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Harsha GaddipatiCo-founder, Slashy

Karan skipped his own birthday party to fix our critical issue. It was 10 pm and he diverted his Waymo to help us instead. This really sets the bar, shows you the commitment you need to have when users rely on your software.

Abhi AryaCo-founder, Opennote

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 has immensely helped in keeping new users on the platform.

Nirman DaveCEO, Zams

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

Ryan YuFounder, Extra Thursday

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

Tomisin JenrolaFounder & CEO, SwarmZero

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

Jerome LeclancheCo-Founder, Ingram Technologies

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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Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

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.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

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.

How to integrate Bugsnag MCP with LangChain

Table of Contents

Connect Bugsnag without Auth hassles

Introduction

Also integrate Bugsnag with

TL;DR

What is LangChain?

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

Supported Tools & Triggers

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies

Initialize Composio client

Create a Tool Router session

Configure the agent with the MCP URL

Set up interactive chat interface

Run the application

Complete Code

Conclusion

How to build Bugsnag MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Explore Other Toolkits

Supabase

Codeinterpreter

GitHub

FAQ

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

Can I use Tool Router MCP with LangChain?

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

How safe is my data with Composio Tool Router?

Used by agents from

Never worry about agent reliability