How do I get Jira API credentials?

You need your Jira instance domain (e.g., acme.atlassian.net), your account email, and an API Token. You can generate an API Token in your Atlassian Account Settings under Security > API Token.

JQL (Jira Query Language) is a powerful tool that allows you to search for issues in Jira using a structured query syntax.

Can I see private projects?

Your AI agent will only be able to see projects and issues that your Atlassian account has permission to access.

Jira Cloud MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Jira Cloud
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Jira Cloud 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

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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="jira_cloud_agent",
    instruction=(
        "You help users interact with Jira Cloud "
        "using 10 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 Jira Cloud MCP Server

Empower your AI agents with Jira Cloud's powerful project management platform. This MCP server allows you to list and retrieve project details, search for issues using JQL, track priorities and statuses, and view dashboards directly through the Jira Cloud API. Ideal for automating software development workflows and team collaboration.

Google ADK natively supports Jira Cloud as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

The Jira Cloud MCP Server exposes 10 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 Jira Cloud to Google ADK via MCP

Follow these steps to integrate the Jira Cloud 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 10 tools from Jira Cloud via MCP

Why Use Google ADK with the Jira Cloud MCP Server

Google ADK provides unique advantages when paired with Jira Cloud 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 Jira Cloud

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 Jira Cloud tools with BigQuery, Vertex AI, and Cloud Functions

Jira Cloud + Google ADK Use Cases

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

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

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

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

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

Jira Cloud MCP Tools for Google ADK (10)

These 10 tools become available when you connect Jira Cloud to Google ADK via MCP:

get_issue

g., "PROJ-123"). Returns descriptions, comments, priority, status, and custom fields. Essential for providing a full context of a specific work item. Retrieves details for a specific issue

get_myself

Useful for verifying identity and permissions. Gets current authenticated user info

get_project

g., "PROJ") or ID. Returns project lead, categories, and issue types. Use to understand the scope and configuration of a specific team's project. Retrieves details for a specific project

list_dashboards

Useful for identifying high-level visual reporting tools available to the user. Lists all Jira dashboards

list_issue_types

g., "Bug", "Epic", "Story") available in the Jira instance. Useful for identifying valid types when searching or creating content. Lists all issue types

list_priorities

g., "High", "Medium", "Low") configured in Jira. Useful for understanding task urgency and filtering search results. Lists all issue priorities

list_projects

Returns project keys, names, and IDs. Use this to identify project keys before searching for specific issues. Lists all projects in Jira

list_statuses

g., "To Do", "In Progress", "Done") across the Jira instance. Useful for mapping the workflow steps of projects. Lists all issue statuses

list_users

Use this to identify assignees, reporters, or team members by their display names or account IDs. Lists all users in Jira

search_issues

JQL allows powerful filtering (e.g., "project = MYPROJ AND status = Open"). Returns issue keys, summaries, and statuses. Use this as the main tool for finding tasks or bugs based on flexible criteria. Searches for issues using Jira Query Language (JQL)

Example Prompts for Jira Cloud in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Jira Cloud immediately.

"List all active projects in Jira."

"Search for all issues assigned to 'user@example.com'."

"Get details for issue 'PROJ-123'."

Troubleshooting Jira Cloud MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Jira Cloud + Google ADK FAQ

Common questions about integrating Jira Cloud 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.