How to integrate Confluence MCP with Autogen

This guide walks you through connecting Confluence to AutoGen using the Composio tool router. By the end, you'll have a working Confluence agent that can create a project documentation page in marketing space, add 'urgent' label to q3 planning page, publish team meeting summary as a blog post through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Confluence account through Composio's Confluence MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Confluence

Oauth2S2s Oauth2Api Key

Confluence is Atlassian's team collaboration and knowledge management platform. It helps your team organize, share, and update documents and project content in one secure workspace.

62 Tools23 Triggers

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Introduction

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

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

Also integrate Confluence with

ChatGPT OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenCode Cursor VS Code OpenClaw Hermes CLI Google ADK LangChain 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
Install the required dependencies for Autogen and Composio
Initialize Composio and create a Tool Router session for Confluence
Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
Configure an Autogen AssistantAgent that can call Confluence tools
Run a live chat loop where you ask the agent to perform Confluence 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 Confluence MCP server, and what's possible with it?

The Confluence MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Confluence account. It provides structured and secure access to your Confluence spaces, pages, and content, so your agent can perform actions like creating pages, publishing blog posts, organizing spaces, and managing metadata on your behalf.

Automated page and space creation: Instantly create new Confluence pages or entire spaces, empowering your agent to generate project documentation, wikis, or knowledge bases as needed.
Effortless blog post publishing: Let your agent draft and publish new blog posts within specified Confluence spaces to keep your team up-to-date and share knowledge seamlessly.
Content labeling and metadata management: Have your agent add labels and custom properties to pages, blog posts, or spaces, making it easy to organize, tag, and categorize information for better discoverability.
Private space setup and management: Direct your agent to create private, isolated workspaces for sensitive projects or teams, ensuring only authorized collaborators have access.
Custom content property automation: Empower your agent to attach or update custom metadata on pages, blog posts, spaces, or whiteboards, streamlining your internal documentation workflows.

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

Step by step08 STEPS

Prerequisites

You will need:

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

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

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 Confluence via MCP
autogen-agentchat provides the AssistantAgent class
autogen-ext-openai provides the OpenAI model client
autogen-ext-tools provides MCP workbench support

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 Confluence connections to use

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 Confluence session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["confluence"]
    )
    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 Confluence tools
session.mcp.url is the MCP endpoint that Autogen will connect to

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

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 Confluence assistant agent with MCP tools
    agent = AssistantAgent(
        name="confluence_assistant",
        description="An AI assistant that helps with Confluence 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 Confluence tools from the workbench

Run the interactive chat loop

python

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Confluence 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 Confluence 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 Confluence 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 Confluence session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["confluence"]
    )
    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 Confluence assistant agent with MCP tools
        agent = AssistantAgent(
            name="confluence_assistant",
            description="An AI assistant that helps with Confluence 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 Confluence 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 Confluence 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 Confluence, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

TOOLS & TRIGGERS

Supported Tools and Triggers

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

Add Content Label

Tool to add labels to a piece of content.

CQL Search

Searches for content in Confluence using Confluence Query Language (CQL).

Create Blogpost

Tool to create a new Confluence blog post.

Create Blogpost Property

Tool to create a property on a specified blog post.

Create Whiteboard Property

Tool to create a new content property on a whiteboard.

Create Footer Comment

Tool to create a footer comment on a Confluence page, blog post, attachment, or custom content.

Create Page

Tool to create a new Confluence page in a specified space.

Create Page Property

Tool to create a property on a Confluence page.

Create Private Space

Tool to create a private Confluence space.

Create Space

Tool to create a new Confluence space.

Create Space Property

Tool to create a new property on a Confluence space.

Create Whiteboard

Tool to create a new Confluence whiteboard.

Delete Blogpost Property

Tool to delete a blog post property.

Delete Page Content Property

Tool to delete a content property from a page by property ID.

Delete Whiteboard Content Property

Tool to delete a content property from a whiteboard by property ID.

Delete Page

Tool to delete a Confluence page.

Delete Space

Tool to delete a Confluence space by its key.

Delete Space Property

Tool to delete a space property.

Download Attachment

Downloads an attachment from a Confluence page and returns a publicly accessible S3 URL.

Get Attachment Labels

Tool to list labels on an attachment.

Get Attachments

Tool to retrieve attachments of a Confluence page.

Get Audit Logs

Tool to retrieve Confluence audit records.

Get Blogpost by ID

Tool to retrieve a specific Confluence blog post by its ID.

Get Blogpost Labels

Tool to retrieve labels of a specific Confluence blog post by ID.

Get Blogpost Like Count

Tool to get like count for a Confluence blog post.

Get Blogpost Operations

Tool to retrieve permitted operations for a Confluence blog post.

Get Blog Posts

Tool to retrieve a list of blog posts.

Get Blog Posts For Label

Tool to list all blog posts under a specific label.

Get Blogpost Version Details

Tool to retrieve details for a specific version of a blog post.

Get Blogpost Versions

Tool to retrieve all versions of a specific blog post.

Get Child Pages

Tool to list all direct child pages of a given Confluence page.

Get Blog Post Content Properties

Tool to retrieve all content properties on a blog post.

Get Page Content Properties

Tool to retrieve all content properties on a page.

Get Content Restrictions

Tool to retrieve restrictions on a Confluence content item.

Get Current User

Tool to get information about the currently authenticated user — always scoped to the account tied to the configured connection, not arbitrary users.

Get Inline Comments for Blog Post

Tool to retrieve inline comments for a Confluence blog post.

Get Labels

Tool to retrieve all labels in a Confluence site; use for label discovery when you need to list or page through labels.

Get Page Labels

Tool to retrieve labels of a specific Confluence page by ID.

Get Labels for Space

Tool to list labels on a space.

Get Labels for Space Content

Tool to list labels on all content in a space.

Get Page Ancestors

Tool to retrieve all ancestors for a given Confluence page by its ID.

Get Page by ID

Tool to retrieve a Confluence page by its ID.

Get Page Footer Comments

Tool to retrieve footer (non-inline) comments for a Confluence page.

Get Page Inline Comments

Tool to retrieve inline comments for a Confluence page.

Get Page Like Count

Tool to get like count for a Confluence page.

Get Pages

Tool to retrieve a paginated list of Confluence pages.

Get Page Versions

Tool to retrieve all versions of a specific Confluence page.

Get Space by ID

Tool to retrieve a Confluence space by its ID.

Get Space Contents

Tool to retrieve content in a Confluence space.

Get Space Properties

Tool to get properties of a Confluence space.

Get Spaces

Tool to retrieve a paginated list of Confluence spaces with optional filtering.

Get Tasks

Tool to list Confluence tasks (action items) with filtering by assignee, creator, space, page, blog post, status, and dates.

Get Anonymous User

Tool to retrieve information about the anonymous user.

Search Content

Searches for content by filtering pages from the Confluence v2 API with intelligent ranking.

Search Users

Searches for users using user-specific queries from the Confluence Query Language (CQL).

Update Blogpost

Tool to update a Confluence blog post's title or content.

Update Blogpost Property

Tool to update a property of a specified blog post.

Update Page Content Property

Tool to update a content property on a Confluence page.

Update Whiteboard Content Property

Tool to update a content property on a whiteboard.

Update Page

Tool to update an existing Confluence page, replacing the entire page content.

Update Space Property

Tool to update a space property.

Update Task

Tool to update a Confluence task status.

FRAMEWORKS

How to build Confluence MCP Agent with another framework

ChatGPT

Use Confluence MCP with ChatGPT

OpenAI Agents SDK

Use Confluence MCP with OpenAI Agents SDK

Claude Agent SDK

Use Confluence MCP with Claude Agent SDK

Claude Code

Use Confluence MCP with Claude Code

Claude Cowork

Use Confluence MCP with Claude Cowork

Codex

Use Confluence MCP with Codex

Cursor

Use Confluence MCP with Cursor

OpenClaw

Use Confluence MCP with OpenClaw

Hermes

Use Confluence MCP with Hermes

CLI

Use Confluence MCP with CLI

Google ADK

Use Confluence MCP with Google ADK

LangChain

Use Confluence MCP with LangChain

Vercel AI SDK

Use Confluence MCP with Vercel AI SDK

Mastra AI

Use Confluence MCP with Mastra AI

LlamaIndex

Use Confluence MCP with LlamaIndex

CrewAI

Use Confluence MCP with CrewAI

OpenCode

Use Confluence MCP with OpenCode

VS Code

Use Confluence MCP with VS Code

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Gmail

Oauth2

Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.

Outlook

Oauth2S2s Oauth2

Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management.

Slack

Oauth2

Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools in one place.

Gong

BasicOauth2

Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action.

FAQ

Frequently asked questions

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

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

Start with Confluence.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Confluence tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

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

Harsha Gaddipati

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.

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.

Nirman Dave

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.

Ryan Yu

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.

Tomisin Jenrola

Founder & CEO, SwarmZero

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.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Confluence MCP with Autogen

Connect Confluence without auth hassles

Introduction

Also integrate Confluence with

TL;DR

What is AutoGen?

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

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 and create Tool Router session

Configure MCP parameters for Autogen

Create the model client and agent

Run the interactive chat loop

Complete Code

Conclusion

Supported Tools and Triggers

How to build Confluence MCP Agent with another framework

ChatGPT

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

Cursor

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

OpenCode

VS Code

Explore Other Toolkits

Gmail

Outlook

Slack

Gong

Frequently asked questions

What are the differences in Tool Router MCP and Confluence MCP?+

Can I use Tool Router MCP with Autogen?+

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

How safe is my data with Composio Tool Router?+

Start with Confluence.It takes 30 seconds.

Teams ship real agents on Composio