How to Use the COR MCP in Google ADK

Q: How do I add COR to a Google ADK project?

Initialize the McpToolset with your server URL. Add it to your LlmAgent tool list to start executing functions against your agency data.

Q: Can Google ADK agents pull COR client lists?

They can. Use listcorclients to fetch your current customer list into the agent's context. It helps in associating tasks with the right accounts.

Connect Google ADK agents to your agency data for real-time margin analysis.

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Connect COR MCP to Google ADK

Create your Vinkius account to connect COR 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 COR with Google ADK

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Google ADK agents and COR project oversight

Call `get_cor_project` to bring specific job details into your Gemini-powered agent. It pulls the exact data you need for informed decision-making. Your agent uses `list_cor_projects` to scan the board. It identifies which jobs are active and which ones have stalled.

Analyze time logs with Google ADK

Execute `list_cor_time_entries` to pull hours worked into your BigQuery-connected agent. It gives you the raw numbers required for profit margin calculations. Use `list_cor_task_types` to categorize those hours. Your agent sorts the data so you can see exactly where labor costs spike.

Google ADK tool filtering for COR

Restrict your agent's scope by using a tool name filter when you initialize the `McpToolset`. It keeps the agent focused on only the tools you authorize. This setup works perfectly for both Stdio and HTTP transports. You decide how the agent talks to your data.

Setup guide

Set up COR 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 COR 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="COR_agent",
    model="gemini-2.0-flash",
    instruction="You have access to COR tools via MCP.",
    tools=mcp_tools,
)

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Common questions about COR MCP in Google ADK

Initialize the `McpToolset` with your server URL. Add it to your `LlmAgent` tool list to start executing functions against your agency data.

They can. Use `list_cor_clients` to fetch your current customer list into the agent's context. It helps in associating tasks with the right accounts.

Since Gemini holds massive token counts, you can dump large volumes of COR task data into the context. Your agent will reason over the entire list easily.

The MCP Server returns a standard error code that your agent will catch. You handle the logic in your agent code to retry or alert you.

We use scoped endpoint tokens to manage your session. Your task records and team member details remain siloed within your specific Vinkius sandbox instance.

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