How to Use the Jira Software Cloud MCP in Google ADK

Q: How do I set up Jira Software Cloud tools in Google ADK?

You instantiate an McpToolset with the server URL. Pass this set to your LlmAgent and define which tools you want to expose for your specific task.

Q: Can Google ADK agents query Jira Software Cloud boards?

Yes. Use getboardbacklog or getboardepics to fetch data. Gemini can then process these large datasets to identify bottlenecks or missing requirements.

Q: Does Jira Software Cloud work with Google ADK long-context models?

It does. You can pull entire epics using getepicissues and feed that data into your prompt. The agent will have the full context of the project.

Q: How do I filter Jira Software Cloud tools for Google ADK?

You can pass an optional toolnames list to the McpToolset. This restricts the agent to only the operations you permit, like read-only board access.

Integrate Google ADK with Jira Software Cloud. Move your project data into Gemini-based agents for massive-scale reasoning.

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Connect Jira Software Cloud MCP to Google ADK

Create your Vinkius account to connect Jira Software Cloud to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Jira Software Cloud with Google ADK

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Board Analysis using Google ADK

Feed your entire board configuration into Gemini. Your agent runs `get_board_configuration` and `list_boards` to understand your project structure instantly. This gives your agent the context it needs to reason about complex backlogs. It sees the same data your team sees in the browser.

Automated Dev Info via Google ADK

Link your code changes to Jira tickets. Your agent uses `store_dev_info` and `submit_remote_links` to attach commits to specific issues. This creates a clear history. You won't have to hunt for context because the agent does the bookkeeping as part of your standard pipeline.

Sprint Lifecycle Management in Google ADK

Control your sprints through code. Your agent triggers `update_sprint` or `move_issues_to_sprint` based on your project's current velocity. It handles the busy work of re-organizing tickets. Your agent keeps the board moving while you focus on the actual code.

Setup guide

Set up Jira Software Cloud MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Jira Software Cloud tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Jira Software Cloud_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Jira Software Cloud tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Jira Software Cloud. 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 Jira Software Cloud MCP in Google ADK

You instantiate an `McpToolset` with the server URL. Pass this set to your `LlmAgent` and define which tools you want to expose for your specific task.

Yes. Use `get_board_backlog` or `get_board_epics` to fetch data. Gemini can then process these large datasets to identify bottlenecks or missing requirements.

It does. You can pull entire epics using `get_epic_issues` and feed that data into your prompt. The agent will have the full context of the project.

You can pass an optional tool_names list to the `McpToolset`. This restricts the agent to only the operations you permit, like read-only board access.

The server runs as an isolated instance. Your issue IDs and project metadata flow directly through the secure connection without leaving your controlled infrastructure.

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