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 Google ADK 8 tools — connect in under 2 minutes

Name: Confluence
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Confluence as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="confluence_agent",
    instruction=(
        "You help users interact with Confluence "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Google ADK natively supports Confluence as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Confluence MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 8 tools from Confluence via MCP

Why Use Google ADK with the Confluence MCP Server

Google ADK provides unique advantages when paired with Confluence through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Confluence

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Confluence tools with BigQuery, Vertex AI, and Cloud Functions

Confluence + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Confluence MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Confluence and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Confluence tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Confluence regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Confluence

Confluence MCP Tools for Google ADK (8)

These 8 tools become available when you connect Confluence to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Confluence to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Confluence + Google ADK FAQ

Common questions about integrating Confluence MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.