How to Use the Lancerkit MCP in Google ADK

Q: How do I configure Lancerkit with Google ADK?

Run pip install google-adk in your environment. Set up a StreamableHttpServerParameters object with your endpoint URL and pass it to McpToolset.

Q: Can Gemini filter which Lancerkit tools it exposes?

You can pass a toolnames list to the toolset configuration. This restricts the agent to specific operations like listtasks while hiding financial tools.

Q: How do I pass the Lancerkit MCP Server to my Google ADK agent?

Assign the configured toolset to the tools parameter when initializing your LlmAgent. The framework handles the HTTP transport automatically.

Connect Lancerkit to Google ADK and feed agency data directly to Gemini.

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Connect Lancerkit MCP to Google ADK

Create your Vinkius account to connect Lancerkit 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 Lancerkit with Google ADK

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Analyze Time Logs with Gemini

Calling `get_time_logs` pulls recorded hours straight into your Gemini model's massive context window. Google ADK handles the connection natively, letting the agent process thousands of time entries alongside your existing BigQuery data. You can filter the noise by running `list_projects` to isolate specific standard projects. The agent reads the workload distribution and generates accurate capacity forecasts based on historical performance.

Google ADK MCP Server Integration

The `list_invoices` tool gives your enterprise agent instant access to your global invoice pipeline statistics through the MCP Server. You configure the `McpToolset` with your Vinkius URL, and Gemini starts reading the financial data immediately. When the agent spots an anomaly, it fires `get_invoice` to pull the exact payment history for that specific ID. You can restrict which financial tools the agent sees by using the optional `tool_names` filter during setup.

Sync Workspace Accounts

Running `list_clients` extracts all associated clients from your workspace for cross-referencing against Google Cloud infrastructure. The agent builds a complete map of your accounts without writing custom API polling logic. It verifies the connection health by executing `get_status` before running any batch operations. If the integration is active, it proceeds to pull individual metadata using `get_client` and maps it to your internal CRM records.

Setup guide

Set up Lancerkit 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 Lancerkit 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="Lancerkit_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Lancerkit 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 Lancerkit. 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 Lancerkit MCP in Google ADK

Run `pip install google-adk` in your environment. Set up a `StreamableHttpServerParameters` object with your endpoint URL and pass it to `McpToolset`.

You can pass a `tool_names` list to the toolset configuration. This restricts the agent to specific operations like `list_tasks` while hiding financial tools.

The server feeds raw JSON directly to the client. Gemini can ingest massive payloads from `list_services` and process them entirely within its 1M+ token context window.

Assign the configured toolset to the `tools` parameter when initializing your `LlmAgent`. The framework handles the HTTP transport automatically.

The server touches specific project IDs and current working tasks. The zero-trust architecture ensures that your data only flows through an ephemeral connection, leaving no persistent footprint on the hosting infrastructure.

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