How to Use the JobProgress (Leap) MCP in Google ADK

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Connect JobProgress (Leap) MCP to Google ADK

Create your Vinkius account to connect JobProgress (Leap) 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 JobProgress (Leap) with Google ADK

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Sync construction pipelines with Google ADK

The `list_jobs` tool feeds live project statuses directly into your Gemini-powered enterprise agents. This allows your Google ADK agents to cross-reference active field contracts with historical analytics stored in BigQuery. When analyzing project margins, the agent uses `list_estimates` to pull raw cost data. Combining this with BigQuery datasets gives your leadership team instant, accurate margin calculations without manual spreadsheets.

Audit multi-year accounts using this MCP Server

The `list_customers` tool retrieves your entire client list for deep-context analysis. Because Gemini models handle massive token limits, your agent can process hundreds of customer profiles from `get_customer` to find repeat business opportunities. Your agent can also scan `list_proposals` to trace contract acceptance rates over several fiscal years. This process highlights which sales representatives, found via `list_users`, close the most profitable deals.

Coordinate field crews directly from Google Cloud

The `list_appointments` tool exposes your field calendar to your cloud-hosted dispatch agents. Your agent reads these schedules alongside `list_tasks` to optimize contractor routing and reduce travel downtime. To keep operations structured, the agent checks `list_workflows` to verify that crews follow standard operating procedures. This ensures every project stage matches your company's official guidelines before moving to the next phase.

Setup guide

Set up JobProgress (Leap) 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 JobProgress (Leap) 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="JobProgress (Leap)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to JobProgress (Leap) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about JobProgress (Leap) MCP in Google ADK

Initialize the McpToolset pointing to the hosted server URL. Pass this toolset directly to your LlmAgent to let Gemini models call tools like list_jobs and get_customer during conversations.

Yes, you can pass an optional tool name filter to the toolset. This restricts the agent to specific tools, like list_appointments, preventing it from accessing sensitive financial tools like list_proposals.

Gemini's million-token context window easily digests large JSON arrays from list_customers or list_tasks. The agent extracts key details without truncating or losing important context.

Yes, you can deploy this MCP Server on Google Cloud Run within your VPC. This setup ensures all communication between your agent and the database remains private and secure.

Your estimates, proposals, and customer records are protected by enterprise-grade IAM controls. This MCP Server processes data in memory without persistent storage, keeping your sensitive trade secrets safe.

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