How to Use the Bilflo MCP in Google ADK

Q: How does Gemini's long context handle large Bilflo datasets?

Gemini easily digests the output of listcontractors and listtimecards combined. The model analyzes thousands of lines of contractor data without needing external vector databases.

Feed Bilflo staffing data directly into Gemini long-context models using the Google ADK.

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Connect Bilflo MCP to Google ADK

Create your Vinkius account to connect Bilflo 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 Bilflo with Google ADK

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Long-Context Staffing Audits with Google ADK

The `list_timecards` tool pulls thousands of historical work records directly into Gemini's million-token context window. This allows the ADK agent to spot billing anomalies across months of data in a single run. By combining this with `list_overtime_rules`, your MCP agent flags compliance issues that standard databases miss. The model processes the entire raw dataset without hitting prompt limits.

Connecting BigQuery to your MCP Server

Your agent uses `list_clients` to pull active accounts and cross-references them with enterprise data stored in BigQuery. The Google ADK coordinates this data flow, letting Gemini analyze client performance alongside internal operational metrics. This integration exposes margin leaks. The agent calls `get_client` to fetch specific payment terms and compares them against actual billing histories on the fly.

Direct Hire and Placement Tracking

The `list_direct_hires` tool feeds active permanent placement pipelines into your Google Cloud ecosystem. Your agent monitors candidate progress by checking `get_direct_hire` and updating your internal HR dashboards. When placements close, the agent calls `list_placements` to verify start dates. This keeps your revenue forecasting models in Vertex AI accurate and up to date.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bilflo. 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 Bilflo MCP in Google ADK

Use the McpToolset class with your Vinkius HTTP URL. Pass this toolset directly to your LlmAgent instance to let Gemini auto-discover the endpoints.

Yes. You can pass a filtered list of tool names to the toolset initializer to restrict the agent. For example, you can block access to `list_overtime_rules` while keeping client tools active.

Gemini easily digests the output of `list_contractors` and `list_timecards` combined. The model analyzes thousands of lines of contractor data without needing external vector databases.

The ADK supports both Stdio and HTTP transports. If the connection drops during a `get_contractor` call, the SDK raises a standard connection exception you can catch and retry.

Your data never persists on Vinkius. The server acts as an ephemeral bridge, passing contractor profiles from `get_contractor` and placement files from `list_placements` directly to your secure Google Cloud environment.

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