Atlassian (Jira & Confluence) MCP Server for Google ADK 9 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Atlassian (Jira & Confluence) as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="atlassian_jira_confluence_agent",
instruction=(
"You help users interact with Atlassian (Jira & Confluence) "
"using 9 available tools."
),
tools=[mcp_tools],
)
* 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 Atlassian (Jira & Confluence) MCP Server
Transform your Atlassian Jira and Confluence instance into a conversational command center for your AI agent. This integration bridges the gap between complex agile workflows and actionable intelligence, allowing your agent to audit Jira issues, manage active sprints, and retrieve deep knowledge from Confluence wikis through natural language. Whether you're tracking a bug's lifecycle or auditing enterprise documentation, your agent acts as a direct, real-time navigator across your Atlassian ecosystem, ensuring your team stays aligned and data-driven without manual dashboard hopping.
Google ADK natively supports Atlassian (Jira & Confluence) as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 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
- Jira Issues & Search — Search issues using complex JQL, view exact tickets, or manage epics and stories seamlessly through your agent.
- Agile Boards & Sprints — List active boards, explore historical sprints, and get an overarching view of project health effortlessly.
- Confluence Wikis & Pages — Search across enterprise documentation using CQL, list spaces, and extract the full textual content of rich wiki pages.
- Project & Identity Oversight — Browse available projects and see the identity mappings of the current user automatically.
- Knowledge Retrieval — Stream rendered HTML or textual properties of specific Confluence pages directly into your conversation context.
The Atlassian (Jira & Confluence) MCP Server exposes 9 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 Atlassian (Jira & Confluence) to Google ADK via MCP
Follow these steps to integrate the Atlassian (Jira & 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 9 tools from Atlassian (Jira & Confluence) via MCP
Why Use Google ADK with the Atlassian (Jira & Confluence) MCP Server
Google ADK provides unique advantages when paired with Atlassian (Jira & 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 Atlassian (Jira & 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 Atlassian (Jira & Confluence) tools with BigQuery, Vertex AI, and Cloud Functions
Atlassian (Jira & Confluence) + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Atlassian (Jira & Confluence) MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Atlassian (Jira & Confluence) and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Atlassian (Jira & Confluence) tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Atlassian (Jira & 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 Atlassian (Jira & Confluence)
Atlassian (Jira & Confluence) MCP Tools for Google ADK (9)
These 9 tools become available when you connect Atlassian (Jira & Confluence) to Google ADK via MCP:
get_issue
Get Jira issue details by exact key
get_myself
Get current authenticated user information
get_page
Get Confluence page rich text content
list_boards
Often used before retrieving backlogs or active sprints. List all Jira agile boards
list_projects
Useful for discovering project keys needed for querying specific domains or boards. List all Jira projects
list_spaces
List all Confluence spaces
list_sprints
List sprints for a specific Jira board
search_content
Search Confluence content with CQL
search_issues
Search Jira issues with JQL
Example Prompts for Atlassian (Jira & Confluence) in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Atlassian (Jira & Confluence) immediately.
"Get my active Jira sprint tickets related to frontend errors."
"Find Confluence wiki pages detailing the 'Payment Gateway API' architecture."
"List all active boards and the sprints currently running in them."
Troubleshooting Atlassian (Jira & Confluence) MCP Server with Google ADK
Common issues when connecting Atlassian (Jira & Confluence) to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkAtlassian (Jira & Confluence) + Google ADK FAQ
Common questions about integrating Atlassian (Jira & Confluence) MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Atlassian (Jira & 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 Atlassian (Jira & Confluence) to Google ADK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.
