How to Use the Fusioo MCP in Google ADK

Q: Can Google ADK filter which Fusioo tools the agent sees?

Yes. You can use the toolnames filter in the ADK to restrict access. If you only want the agent to read data, just expose listapprecords and getappschema.

Connect Fusioo to your Google Cloud infrastructure and build enterprise agents with Google ADK.

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Connect Fusioo MCP to Google ADK

Create your Vinkius account to connect Fusioo 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 Fusioo with Google ADK

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Feed workspace data to Gemini

Using the `list_app_records` tool, your agent pulls thousands of rows from your custom apps directly into the massive Gemini context window. It digests the entire dataset at once without choking on token limits. The agent checks `get_app_schema` to understand the field definitions and interpret the numbers correctly. Instead of building complex queries, it grabs the raw data and uses its reasoning engine to spot trends.

Bridge Fusioo and BigQuery via MCP Server

Your Google ADK agent reads new entries using `get_record_details` and pushes that data straight into BigQuery. It acts as the glue between your custom apps and Google Cloud infrastructure. If a Vertex AI pipeline flags an anomaly, your agent fires off `create_app_record` to log the event back into your workspace. You get a bidirectional data flow without writing custom integration scripts.

Monitor dashboard and report states

The agent executes `list_dashboard_widgets` and `list_workspace_reports` to map out what your team is currently looking at. It checks these configurations against your company standards. To investigate further, the agent runs `get_my_identity` to verify its own access level, then checks `list_workspace_users` to see who else is in the environment. All of this happens autonomously within your Google Cloud perimeter via the MCP server.

Setup guide

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

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Common questions about Fusioo MCP in Google ADK

Install the google-adk package. Set up a McpToolset using StreamableHttpServerParameters with your endpoint URL. Pass that toolset into your LlmAgent configuration to expose the tools.

Yes. You can use the tool_names filter in the ADK to restrict access. If you only want the agent to read data, just expose list_app_records and get_app_schema.

Absolutely. You pull massive amounts of custom app data into the model. The agent processes the entire workspace history in a single pass.

The server is hosted on our managed infrastructure. You just deploy your Google ADK agent to Cloud Run and point it at the provided HTTP transport URL. We handle the isolation and scaling.

Record details and schema definitions never touch disk. The V8 sandbox processes your list_app_records requests strictly in memory. Once the HTTP response closes, the execution environment is wiped clean, leaving zero trace of your proprietary data.

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