How do I generate an Atlassian API Token?

Log into your Atlassian account at id.atlassian.com, navigate to the **Security** tab, and click on **API tokens**. Select 'Create and manage API tokens' to generate a new key for this integration.

Can the AI edit all spaces within my Confluence account?

The AI integration adheres strictly to the permissions of the user generating the API token. It can only read and modify the spaces that your specific Atlassian user account has authorization to access.

Does a published Confluence page support Markdown?

Yes, Confluence correctly processes standard formatting such as headings, lists, code blocks, and rich text when the AI agent generates and uploads content.

Confluence MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Confluence
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Confluence through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Confluence Assistant",
            instructions=(
                "You help users interact with Confluence. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Confluence"
        )
        print(result.final_output)

asyncio.run(main())

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About Confluence MCP Server

Connect your Atlassian Confluence workspace to your AI assistant. Easily query your organization's knowledge base, search through technical documentation, and seamlessly generate new formatted pages right from the conversational interface.

The OpenAI Agents SDK auto-discovers all 8 tools from Confluence through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Confluence, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Search Wiki Spaces — Quickly retrieve specific software architecture decisions, HR policies, or meeting notes without switching tabs.
Read Pages — Extract the complete text and markdown-structured content of existing wiki pages for quick summaries.
Create & Publish — Draft robust product requirements documents (PRDs) or meeting minutes using the AI, and publish them directly to your designated Confluence spaces.

The Confluence MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Confluence to OpenAI Agents SDK via MCP

Follow these steps to integrate the Confluence MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from Confluence

Why Use OpenAI Agents SDK with the Confluence MCP Server

OpenAI Agents SDK provides unique advantages when paired with Confluence through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Confluence + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Confluence MCP Server delivers measurable value.

Automated workflows: build agents that query Confluence, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Confluence, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Confluence tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Confluence to resolve tickets, look up records, and update statuses without human intervention

Confluence MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Confluence to OpenAI Agents SDK via MCP:

add_page_comment

The body should be in storage format (HTML). Add a new comment to a Confluence page

create_page

Requires the space key, a title, and body content in Confluence storage format (HTML). The page is created at the root of the space. Create a new page in a Confluence space

get_page

Returns content body, space, version history, and metadata. Retrieve detailed information about a specific page

get_space_details

Returns metadata, description, homepage, and permissions overview. Retrieve detailed information about a specific space

list_page_comments

Returns inline and footer comments with author and content. Retrieve all comments for a specific Confluence page

list_pages

Optionally filter by space key. Supports pagination via start offset and limit. Retrieve a list of pages from Confluence

list_spaces

Retrieve a list of all spaces in Confluence

search_confluence

g. text ~ "project" AND type = "page"). Returns matching pages, blog posts, and comments. Search for content using Confluence Query Language (CQL)

Example Prompts for Confluence in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Confluence immediately.

"Search Confluence for documentation regarding our 'Q3 Migration Plan'."

"Create a new page in the 'Product' space summarizing our meeting notes from today."

"List all wiki pages currently under the space key 'HR'."

Troubleshooting Confluence MCP Server with OpenAI Agents SDK

Common issues when connecting Confluence to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Confluence + OpenAI Agents SDK FAQ

Common questions about integrating Confluence MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.