How to integrate Confluence MCP with CrewAI

This guide walks you through connecting Confluence to CrewAI 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 CrewAI 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 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

Introduction

This guide walks you through connecting Confluence to CrewAI 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 CrewAI 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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TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Confluence connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Confluence
  • Build a conversational loop where your agent can execute Confluence operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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:

  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

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Confluence connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
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 crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Confluence via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
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 with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Confluence MCP URL
6

Create a Composio Tool Router session for Confluence

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["confluence"])

url = session.mcp.url
What's happening:
  • You create a Confluence only session through Composio
  • Composio returns an MCP HTTP URL that exposes Confluence tools
7

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
8

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

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

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

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

Here's the complete code to get you started with Confluence and CrewAI:

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["confluence"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

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

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

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Confluence through Composio's Tool Router. The agent can perform Confluence operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations
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.

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. CrewAI 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.

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