How to Use the Hub Planner MCP in Google ADK
Sync your Hub Planner data into Google ADK agents to build enterprise-grade resource planning tools on Google Cloud.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Hub Planner MCP to Google ADK
Create your Vinkius account to connect Hub Planner 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.
Resource availability in Google ADK
Your agent gains direct visibility into your staffing levels. It executes `list_resources` and `list_unassigned` to find the right person for a task. Data stays local to the agent's context. This allows for complex reasoning across your entire resource pool without leaving the Google Cloud environment.
Project visibility for Google ADK agents
Bring your project list into the agent's reasoning loop. By calling `list_projects` and `list_categories`, your agent categorizes work based on live status. It makes smarter assignments. The agent uses these inputs to determine project urgency against real-time team capacity.
Event and client data access
Your agent tracks client requirements against team availability. It fetches `list_clients` and `list_events` to ensure project kickoffs align with client constraints. This prevents scheduling oversights. The agent uses the returned data to validate that no project overlaps with scheduled time-off.
Set up Hub Planner MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Hub Planner tools in your ADK agent.
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="Hub Planner_agent",
model="gemini-2.0-flash",
instruction="You have access to Hub Planner tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hub Planner. 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.
Why Choose Vinkius
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Real-time monitoring
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visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
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One
place for every integration
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Common questions about Hub Planner MCP in Google ADK
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