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Atlassian (Jira & Confluence) MCP Server for Google ADK 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

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.

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="atlassian_jira_confluence_agent",
    instruction=(
        "You help users interact with Atlassian (Jira & Confluence) "
        "using 9 available tools."
    ),
    tools=[mcp_tools],
)
Atlassian (Jira & Confluence)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 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.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

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.

01

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

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Atlassian (Jira & Confluence)

03

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

04

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.

01

Enterprise data agents: ADK agents query Atlassian (Jira & Confluence) and cross-reference results with internal databases for comprehensive analysis

02

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

03

Automated compliance checks: schedule ADK agents to query Atlassian (Jira & Confluence) regularly and flag policy violations or configuration drift

04

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:

01

get_issue

Get Jira issue details by exact key

02

get_myself

Get current authenticated user information

03

get_page

Get Confluence page rich text content

04

list_boards

Often used before retrieving backlogs or active sprints. List all Jira agile boards

05

list_projects

Useful for discovering project keys needed for querying specific domains or boards. List all Jira projects

06

list_spaces

List all Confluence spaces

07

list_sprints

List sprints for a specific Jira board

08

search_content

Search Confluence content with CQL

09

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.

01

"Get my active Jira sprint tickets related to frontend errors."

02

"Find Confluence wiki pages detailing the 'Payment Gateway API' architecture."

03

"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.

01

McpToolset not found

Update: pip install --upgrade google-adk

Atlassian (Jira & Confluence) + Google ADK FAQ

Common questions about integrating Atlassian (Jira & Confluence) MCP Server with Google ADK.

01

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.
02

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.
03

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.

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.