How to Use the LiquidPlanner Classic MCP in Google ADK
Connect Gemini models via Google ADK to LiquidPlanner Classic to schedule projects using your actual BigQuery data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect LiquidPlanner Classic MCP to Google ADK
Create your Vinkius account to connect LiquidPlanner Classic 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.
Context-rich scheduling using BigQuery data
Enterprise project planning requires connecting your warehouse data to your actual LiquidPlanner Classic project schedules. With Google ADK, your agent pulls resource metrics from BigQuery and updates your timeline using `update_task` in a single run. Gemini models handle the massive context of your entire LiquidPlanner Classic project portfolio. The Google ADK reads hundreds of active tasks via `list_tasks` and makes scheduling decisions based on real historical performance data.
Long-context reasoning over entire workspaces
Standard models choke when you feed them an entire enterprise LiquidPlanner Classic workspace. Google ADK uses Gemini's million-token window to ingest every single task detail retrieved by `get_workspace` and `list_projects` without dropping context. This allows your Google ADK agent to analyze complex dependency chains across your entire LiquidPlanner Classic organization. It can spot scheduling conflicts that human managers miss and fix them immediately using `update_task`.
Secure execution using this Google ADK MCP Server
Run your LiquidPlanner Classic project management agents inside your existing Google Cloud perimeter. The Google ADK connects directly to this MCP Server, keeping all your calls to `create_project` and `list_members` within your secure cloud boundary. You can restrict which LiquidPlanner Classic tools are exposed to specific Google ADK agents using the tool name filter. This prevents a read-only reporting agent from accidentally triggering `create_task` or modifying existing project timelines.
Set up LiquidPlanner Classic 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 LiquidPlanner Classic 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="LiquidPlanner Classic_agent",
model="gemini-2.0-flash",
instruction="You have access to LiquidPlanner Classic 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 LiquidPlanner Classic. 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 LiquidPlanner Classic MCP in Google ADK
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