How to Use the Beeline MCP in Google ADK

Q: Can Google ADK agents limit Beeline tool access?

You can use the toolnames filter to restrict which functions your agent calls. This prevents the agent from modifying data you want kept read-only.

Sync your external workforce data into Google ADK pipelines with this Beeline MCP server.

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Connect Beeline MCP to Google ADK

Create your Vinkius account to connect Beeline 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 Beeline with Google ADK

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Google ADK requisition management

Use `list_requisitions` to feed job openings into your Google Cloud agent. This allows your agent to match candidates against open headcount. Calling `get_requisition` pulls the granular details required for complex decision-making. Your agent handles this data alongside your existing BigQuery tables.

Track contractor performance in Google ADK

Your agent triggers `list_timesheets` to audit hours across your global workforce. It maps these logs directly into your operational dashboard. Use `get_timesheet` when the agent needs to verify specific billing cycles. This integration keeps your Google ADK agent informed on real-time labor spend.

Fetch vendor and user profiles

Connect `list_suppliers` to your agent to handle vendor communications automatically. It identifies the correct point of contact for every assignment. `get_user_info` provides the profile context your agent needs to assign tasks correctly. This ensures your Google ADK logic operates on accurate, up-to-date staff information.

Setup guide

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

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Common questions about Beeline MCP in Google ADK

The server supports both Stdio and HTTP transports. You configure the connection via the McpToolset in your agent initialization.

You can use the tool_names filter to restrict which functions your agent calls. This prevents the agent from modifying data you want kept read-only.

It runs as an external service that your agent calls via HTTP. This lets you keep your workforce data separate from your core cloud infrastructure.

All traffic is encrypted in transit using TLS. We use ephemeral sessions that clear immediately after your agent finishes its task.

It accesses job requisitions, timesheets, and supplier lists. We enforce strict read-only access to ensure your contractor data remains untouched.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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