How to Use the Albi Restoration MCP in Google ADK

Q: Can I filter which Albi Restoration tools my Google ADK agent uses?

Yes, use the toolnames filter to restrict access. This lets you decide exactly what your agent can modify.

Connect Albi Restoration to your Google ADK agents for enterprise-grade restoration workflows on Google Cloud.

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Connect Albi Restoration MCP to Google ADK

Create your Vinkius account to connect Albi Restoration 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 Albi Restoration with Google ADK

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Deep Integration with Google ADK

Your agent acts on restoration data stored in the cloud by using `list_restoration_projects` to scan your active job list. It brings that information into the Gemini context window for analysis. Because this runs inside the Google ADK, your agent can reason over massive amounts of project history. It connects the dots between different sites without human intervention.

Automated Project Setup

Spinning up a new job is simple for your agent. It triggers `create_new_restoration_project` with the required contact and name parameters in one go. This eliminates the repetitive manual steps usually required to log a new damage assessment. Your agent ensures every project starts with the correct metadata.

Real-time Activity Monitoring

Your agent keeps pace with site progress using `list_project_activities` to pull the latest task updates. It filters this data to highlight what needs attention now. This keeps your Google ADK agent focused on current bottlenecks. It turns raw log data into actionable insights for your adjusters.

Setup guide

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

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Common questions about Albi Restoration MCP in Google ADK

You pass the server parameters to the McpToolset and add it to your agent. This grants your agent direct access to the restoration toolset.

Yes, use the tool_names filter to restrict access. This lets you decide exactly what your agent can modify.

The MCP server provides the bridge between your restoration tools and your cloud infrastructure. You can combine project data from the server with your existing BigQuery tables.

Call the health check tool to verify the connection. It returns a simple status update so you know if the server is ready to process requests.

All contact records are transmitted through encrypted channels between your agent and the host. We keep your customer data isolated from other processes to prevent unauthorized access.

Use it with your favorite AI tools

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