How to integrate Confluence MCP with Pydantic AI

This guide walks you through connecting Confluence to Pydantic AI 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 Pydantic AI 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 Pydantic AI 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:

How to set up your Composio API key and User ID
How to create a Composio Tool Router session for Confluence
How to attach an MCP Server to a Pydantic AI agent
How to stream responses and maintain chat history
How to build a simple REPL-style chat interface to test your Confluence workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

Type Safety: Built on Pydantic for automatic data validation
MCP Support: Native support for Model Context Protocol servers
Streaming: Built-in support for streaming responses
Async First: Designed for async/await patterns

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 step09 STEPS

Prerequisites

Before starting, make sure you have:

Python 3.9 or higher
A Composio account with an active 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

bash

pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

composio connects your agent to external SaaS tools like Confluence
pydantic-ai lets you create structured AI agents with tool support
python-dotenv loads your environment variables securely from a .env file

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

Create a .env file in your project root.

What's happening:

COMPOSIO_API_KEY authenticates your agent to Composio's API
USER_ID associates your session with your account for secure tool access
OPENAI_API_KEY to access OpenAI LLMs

Import dependencies

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

What's happening:

We load environment variables and import required modules
Composio manages connections to Confluence
MCPServerStreamableHTTP connects to the Confluence MCP server endpoint
Agent from Pydantic AI lets you define and run the AI assistant

Create a Tool Router Session

python

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Confluence
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["confluence"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

What's happening:

We're creating a Tool Router session that gives your agent access to Confluence 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

Initialize the Pydantic AI Agent

python

# Attach the MCP server to a Pydantic AI Agent
confluence_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[confluence_mcp],
    instructions=(
        "You are a Confluence assistant. Use Confluence tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)

What's happening:

The MCP client connects to the Confluence endpoint
The agent uses GPT-5 to interpret user commands and perform Confluence operations
The instructions field defines the agent's role and behavior

Build the chat interface

python

# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Confluence.\n")

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", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()

What's happening:

The agent reads input from the terminal and streams its response
Confluence API calls happen automatically under the hood
The model keeps conversation history to maintain context across turns

Run the application

python

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

What's happening:

The asyncio loop launches the agent and keeps it running until you exit

Complete Code

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

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Confluence
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["confluence"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    confluence_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[confluence_mcp],
        instructions=(
            "You are a Confluence assistant. Use Confluence tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Confluence.\n")

    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", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

Conclusion

You've built a Pydantic AI agent that can interact with Confluence through Composio's Tool Router. With this setup, your agent can perform real Confluence actions through natural language. You can extend this further by:

Adding other toolkits like Gmail, HubSpot, or Salesforce
Building a web-based chat interface around this agent
Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Confluence for workflow automation)

This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

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. Pydantic AI 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 Pydantic AI

Connect Confluence without auth hassles

Introduction

Also integrate Confluence with

TL;DR

What is Pydantic AI?

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

Create a Tool Router Session

Initialize the Pydantic AI Agent

Build the chat interface

Run the application

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 Pydantic AI?+

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