How to Use the Confluence MCP in AutoGen
Let AutoGen agents debate, edit, and publish Confluence pages through collaborative workflows.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Confluence MCP to AutoGen
Create your Vinkius account to connect Confluence to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Collaborative page creation with AutoGen
`create_page` allows your writing agent to publish draft pages directly to a specific space. Meanwhile, a separate editing agent can review the content and suggest changes before final publication. This MCP Server setup enables a consensus-driven workflow where agents debate the structure of the HTML body. They only commit the page to the root space once they agree on the layout.
Drive discussion threads via agent debate
`add_page_comment` lets a reviewer agent post feedback directly onto a page in HTML storage format. This mimics human collaboration, letting agents resolve conflicts in the comment section. By using `list_page_comments`, a supervisor agent can read existing inline feedback to decide if a page needs revision. This automates the editorial review process without human intervention.
Map out wiki architecture automatically
`list_spaces` gives your discovery agent a starting point by listing all active directories. It then coordinates with other agents to explore specific pages using `list_pages` to map out the wiki structure. When the team needs specific information, `search_confluence` executes CQL queries to find matching blog posts and comments. The agents then debate which source is the most reliable before presenting it.
Set up Confluence MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Confluence tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Confluence_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Confluence data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Confluence_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Confluence data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Confluence. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Confluence MCP in AutoGen
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