How do I find my GitHub Repository ID?

You can find your Repository ID in your GitHub settings, or use a GitHub MCP server to query your repository metadata.

Can I move an issue to a different pipeline using this agent?

Yes, the `move_issue_between_pipelines` tool allows you to specify a workspace, repository, issue number, and target pipeline ID to update the status.

Is it possible to set story point estimates?

Absolutely. Use the `set_issue_estimate` tool with the repository ID, issue number, and your desired point value.

ZenHub MCP Server for Google ADK 8 tools — connect in under 2 minutes

Name: ZenHub
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 8 Tools SDK

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

Open in ChatGPT Open in Claude Open in Perplexity

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="zenhub_agent",
    instruction=(
        "You help users interact with ZenHub "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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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 ZenHub MCP Server

Connect your ZenHub account to any AI agent to streamline your agile project management on GitHub. This MCP server enables your agent to interact with pipelines, issues, estimates, and epics directly from natural language.

Google ADK natively supports ZenHub as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 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

Board Visibility — List all pipelines and issues for specific GitHub repositories or ZenHub workspaces
Agile Status Management — Move issues between pipelines to update their workflow status instantly
Precision Estimating — Set and retrieve story point estimates for any GitHub issue
Epic Oversight — List and inspect ZenHub epics and their constituent issues
Release Tracking — Access release reports and progress metadata for your projects

The ZenHub MCP Server exposes 8 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 ZenHub to Google ADK via MCP

Follow these steps to integrate the ZenHub 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 8 tools from ZenHub via MCP

Why Use Google ADK with the ZenHub MCP Server

Google ADK provides unique advantages when paired with ZenHub 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 ZenHub

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 ZenHub tools with BigQuery, Vertex AI, and Cloud Functions

ZenHub + Google ADK Use Cases

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

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

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

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

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

ZenHub MCP Tools for Google ADK (8)

These 8 tools become available when you connect ZenHub to Google ADK via MCP:

get_epic_data

Get details for a specific epic

get_repo_board

Get the ZenHub board for a repository

get_workspace_board

Get the ZenHub board for a specific workspace and repository

get_zenhub_issue_data

Get ZenHub-specific metadata for a GitHub issue

list_release_reports

List release reports for a repository

list_repo_epics

List all ZenHub epics for a repository

move_issue_between_pipelines

Move an issue to a different pipeline

set_issue_estimate

Set the story point estimate for an issue

Example Prompts for ZenHub in Google ADK

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

"Show me the ZenHub board for repository ID '12345678'."

"Move issue #45 in repo '12345678' to the 'In Progress' pipeline (ID: '56789') in workspace '98765'."

"What are the estimates for all issues in the current epic?"

Troubleshooting ZenHub MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

ZenHub + Google ADK FAQ

Common questions about integrating ZenHub 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.