How to Use the Jira Service Management (JSM) MCP in Google ADK

Q: How do I register the Jira Service Management (JSM) MCP Server inside Google ADK?

Install google-adk and configure McpToolset using your Vinkius HTTP endpoint URL. Pass this toolset directly into your LlmAgent tools array to expose all 10 JSM capabilities.

Q: Can I restrict which Jira Service Management (JSM) tools are visible to my Google ADK agent?

Yes, the ADK allows an optional toolnames filter. You can restrict the agent to only read-only tools like getrequest and listknowledgebases if you want to limit its scope.

Q: How does Gemini use Jira Service Management (JSM) data alongside Google ADK context?

The agent calls JSM tools like getinfo to check system health, then loads ticket payloads into Gemini's long-context window. This allows the model to reason over complex multi-step support histories.

Feed Jira Service Management data directly to Gemini using Google ADK to analyze queues and query knowledge base articles.

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Connect Jira Service Management (JSM) MCP to Google ADK

Create your Vinkius account to connect Jira Service Management (JSM) 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 Service Management (JSM) with Google ADK

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Long-context queue analysis

The `list_queues` tool exposes support backlogs directly to your Google ADK agent. Because Gemini handles massive token contexts, your agent can pull all queue structures and analyze backlog trends in a single pass using this MCP Server setup. After identifying a bottleneck, the agent pulls details via `list_requests` to see which tickets are stuck. This helps your team run complex analytical queries over thousands of active service desk issues.

Connect JSM MCP Server to enterprise data

The `list_service_desks` tool lets your Google ADK agent retrieve active portal IDs and keys. This allows the agent to cross-reference your JSM portals with customer tables stored in BigQuery. Once matched, the agent calls `get_service_desk` to verify portal branding and configuration. You get a direct line between cloud data warehouses and your support infrastructure.

Map documentation and organizations

The `list_knowledge_bases` tool retrieves active documentation links associated with specific service desks. Your Google ADK agent uses these references to suggest relevant articles for open tickets via the MCP integration. For corporate clients, `list_organizations` groups these requests by business accounts. This allows Gemini to analyze support trends for specific enterprises using your internal knowledge bases.

Setup guide

Set up Jira Service Management (JSM) 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 Service Management (JSM) 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 Service Management (JSM)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Jira Service Management (JSM) 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 Service Management. 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 Service Management (JSM) MCP in Google ADK

Install `google-adk` and configure `McpToolset` using your Vinkius HTTP endpoint URL. Pass this toolset directly into your `LlmAgent` tools array to expose all 10 JSM capabilities.

Yes, the ADK allows an optional `tool_names` filter. You can restrict the agent to only read-only tools like `get_request` and `list_knowledge_bases` if you want to limit its scope.

The agent calls JSM tools like `get_info` to check system health, then loads ticket payloads into Gemini's long-context window. This allows the model to reason over complex multi-step support histories.

It supports both Stdio and HTTP transports. For Vinkius, you will configure a streamable HTTP connection to link your cloud agent with the JSM API.

Your customer accounts and organization listings remain inside your secure VPC. The MCP Server acts as an ephemeral proxy, passing raw JSON payloads directly to your Google Cloud environment without caching.

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