Lancerkit MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Lancerkit as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="lancerkit_agent",
instruction=(
"You help users interact with Lancerkit "
"using 10 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Lancerkit MCP Server
Connect Lancerkit to any AI agent via MCP.
How to Connect Lancerkit to Google ADK via MCP
Follow these steps to integrate the Lancerkit MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from Lancerkit via MCP
Why Use Google ADK with the Lancerkit MCP Server
Google ADK provides unique advantages when paired with Lancerkit through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Lancerkit
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Lancerkit tools with BigQuery, Vertex AI, and Cloud Functions
Lancerkit + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Lancerkit MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Lancerkit and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Lancerkit tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Lancerkit regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Lancerkit
Lancerkit MCP Tools for Google ADK (10)
These 10 tools become available when you connect Lancerkit to Google ADK via MCP:
get_client
Retrieve specific metadata of one single client
get_invoice
Retrieve data, payments, and billings for a specific invoice string ID
get_project
Get a single project details by ID
get_status
Examine account and integration connection status overall
get_time_logs
Check the recorded time logs for hours spent
list_clients
List all clients associated with the workspace
list_invoices
Fetch global invoice pipeline statistics
list_projects
List all standard projects
list_services
Fetch all specific billable service items configured online
list_tasks
Check current working tasks
Example Prompts for Lancerkit in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Lancerkit immediately.
"Draft an invoice for the Acme Corp redesign project."
"How many billable hours have I tracked this week?"
"Create a new project named Mobile App Development for Delta Tech."
Troubleshooting Lancerkit MCP Server with Google ADK
Common issues when connecting Lancerkit to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkLancerkit + Google ADK FAQ
Common questions about integrating Lancerkit MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Lancerkit with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Lancerkit to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.