How to integrate Rollbar MCP with Autogen

This guide walks you through connecting Rollbar to AutoGen using the Composio tool router. By the end, you'll have a working Rollbar agent that can list active production rollbar errors, summarize latest rollbar crash occurrences, resolve fixed rollbar items after deploy through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Rollbar account through Composio's Rollbar MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Rollbar is an error tracking and monitoring platform for software teams. It helps developers catch, diagnose, and prioritize production issues faster.

17 Tools

Introduction

This guide walks you through connecting Rollbar to AutoGen using the Composio tool router. By the end, you'll have a working Rollbar agent that can list active production rollbar errors, summarize latest rollbar crash occurrences, resolve fixed rollbar items after deploy through natural language commands.

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

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

Also integrate Rollbar with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Rollbar
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Rollbar tools
  • Run a live chat loop where you ask the agent to perform Rollbar operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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

The Rollbar MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Rollbar account. It provides structured and secure access to your projects, teams, users, and their assignments, so your agent can list projects, review teams, find users, check access, and inspect account relationships on your behalf.

  • Project discovery: Have your agent list every Rollbar project or retrieve the details of a specific project.
  • Team visibility: Let the agent list your Rollbar teams and review the details of a particular team.
  • User lookup: Direct your agent to list account users or retrieve information about a specific user.
  • Project access review: Instruct your agent to list the teams that can access a project or check whether a particular team is assigned to it.
  • Membership and assignment checks: Have your agent list the teams a user belongs to, verify team membership, or review which projects a team can access.

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 step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Rollbar account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
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 dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Rollbar via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Rollbar connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Rollbar session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["rollbar"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Rollbar tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Rollbar assistant agent with MCP tools
    agent = AssistantAgent(
        name="rollbar_assistant",
        description="An AI assistant that helps with Rollbar operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Rollbar tools from the workbench
8

Run the interactive chat loop

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

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

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

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Rollbar tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Rollbar and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Rollbar session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["rollbar"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Rollbar assistant agent with MCP tools
        agent = AssistantAgent(
            name="rollbar_assistant",
            description="An AI assistant that helps with Rollbar operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

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

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

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

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

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

Conclusion

You now have an Autogen assistant wired into Rollbar through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Rollbar, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

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

Check Team Project Assignment

Tool to check if a team is assigned to a project in Rollbar.

Check User Team Assignment

Tool to check if a user is assigned to a team in Rollbar.

Get Occurrences Metrics

Get occurrence counts over a span of time with flexible grouping, filtering, and aggregation.

Get Project

Tool to retrieve details of a specific Rollbar project by its ID.

Get Team by ID

Tool to retrieve details of a specific team by ID.

Get TTR metrics

Get resolution time metrics for a list of projects.

Get User by ID

Tool to retrieve a specific user from Rollbar by their user ID.

List All Projects

Tool to list all projects in the Rollbar account.

List All Teams

Tool to list all teams in a Rollbar account.

List All Users

Tool to list all users in the Rollbar account.

List Project Teams

Tool to list all teams with access to a Rollbar project.

List RQL Jobs

Tool to list all RQL (Rollbar Query Language) jobs.

List Team Invitations

Tool to list pending invitations to a Rollbar team.

List Team Projects

Tool to list all projects a team has access to in Rollbar.

List Team Users

Tool to list all users in a Rollbar team.

List User Projects

Tool to list all projects a user has access to.

List User Teams

Tool to list all teams a user belongs to in Rollbar.

FRAMEWORKS

How to build Rollbar MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Rollbar MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Rollbar MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Rollbar MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Rollbar MCP with Claude Cowork

Codex logo

Codex

Use Rollbar MCP with Codex

OpenClaw logo

OpenClaw

Use Rollbar MCP with OpenClaw

Hermes logo

Hermes

Use Rollbar MCP with Hermes

CLI logo

CLI

Use Rollbar MCP with CLI

Google ADK logo

Google ADK

Use Rollbar MCP with Google ADK

LangChain logo

LangChain

Use Rollbar MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Rollbar MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Rollbar MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Rollbar MCP with LlamaIndex

CrewAI logo

CrewAI

Use Rollbar MCP with CrewAI

FAQ

Frequently asked questions

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

Yes, you can. Autogen 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 Rollbar tools.

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

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