How to Use the Hive (Project Management) MCP in Google ADK

Connect Hive (Project Management) to your Google ADK pipelines to manage tasks with Gemini's million-token context.

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Connect Hive (Project Management) MCP to Google ADK

Create your Vinkius account to connect Hive (Project Management) 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 Hive (Project Management) with Google ADK

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Query project states inside enterprise data pipelines

`list_projects` provides your Google ADK agent with a complete index of all active initiatives inside your workspace. The agent uses this endpoint to map project IDs to your BigQuery datasets, matching developer commits with actual project deliverables. Running this MCP tool inside the Gemini ecosystem lets you dump massive project backlogs straight into the context window. The model analyzes months of project history to detect bottlenecks without running out of token space.

Fetch single actions for instant updates

`get_action` pulls the exact payload of a specific task, including its current assignee, status, and description. Your Google ADK agent calls this tool to verify the status of a blocker before executing downstream Google Cloud Run jobs. This tight coupling ensures that automated deployments only trigger when the corresponding task in your workspace is marked ready. It's a deterministic bridge between your project management board and your cloud infrastructure.

Build structured tasks using templates

This MCP Server allows `create_action` to generate new tasks using standardized layouts retrieved from `list_templates`. Every auto-generated ticket is guaranteed to contain the required custom fields, labels, and subtasks. Your enterprise agents can automatically document system alerts as tracked tasks on your board. This eliminates the manual overhead of copying error logs from Google Cloud Logging into your project management system.

Setup guide

Set up Hive (Project Management) 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 Hive (Project Management) 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="Hive (Project Management)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Hive (Project Management) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Hive (Project Management) MCP in Google ADK

Gemini accesses the tools by registering the MCP toolset with your HTTP server parameters. The model then calls tools like list_projects dynamically based on your prompt context.

Yes, you can use the optional tool names filter in the ADK setup to restrict access. This lets you expose only read-only tools like list_actions to public-facing agents.

Vinkius manages the authentication layer, providing you with a single endpoint token. You pass this token in the streamable HTTP parameters when initializing your toolset.

Yes, the server supports both transport protocols. You can run it locally via Stdio for development or host it via HTTP for production deployments.

Your task details, labels, and workspace structures are streamed directly through secure, ephemeral V8 isolates. No project data is stored on Vinkius, ensuring your operational metadata remains within your Google Cloud boundary.

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