Confluence MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Confluence as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="confluence_agent",
tools=tools,
system_message=(
"You help users with Confluence. "
"8 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Confluence tools. Connect 8 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Confluence MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 8 tools from Confluence automatically
Why Use AutoGen with the Confluence MCP Server
AutoGen provides unique advantages when paired with Confluence through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Confluence tools to solve complex tasks
Role-based architecture lets you assign Confluence tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Confluence tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Confluence tool responses in an isolated environment
Confluence + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Confluence MCP Server delivers measurable value.
Collaborative analysis: one agent queries Confluence while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Confluence, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Confluence data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Confluence responses in a sandboxed execution environment
Confluence MCP Tools for AutoGen (8)
These 8 tools become available when you connect Confluence to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Confluence to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Confluence + AutoGen FAQ
Common questions about integrating Confluence MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Confluence with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Confluence to AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
