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Confluence API tools evolve static wikis into active workflow participants, enabling Agno agents to move beyond basic RAG retrieval to autonomously reason, author, organize, and automate documentation governance. 

from agno.agent import Agent
from agno.tools.confluence import ConfluenceTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------


agent = Agent(
    name="Confluence agent",
    tools=[ConfluenceTools()],
    markdown=True,
)

## getting space details

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response("How many spaces are there and what are their names?")

    ## getting page_content
    agent.print_response(
        "What is the content present in page 'Large language model in LLM space'"
    )

    ## getting page details in a particular space
    agent.print_response("Can you extract all the page names from 'LLM' space")

    ## creating a new page in a space
    agent.print_response("Can you create a new page named 'TESTING' in 'LLM' space")

​
Run the Example

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/91_tools

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python confluence_tools.py
For details, see Confluence cookbook.