How to Use the Loopio MCP in Google ADK

Bring your RFP data into Google ADK. Map your knowledge base to Gemini-powered agents for enterprise-grade response generation.

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Connect Loopio MCP to Google ADK

Create your Vinkius account to connect Loopio 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 Loopio with Google ADK

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Query Loopio libraries within Google ADK

Your agent taps into your existing content stacks to find the right answers. It uses `search_library` to locate relevant Q&A pairs, ensuring your Gemini-based workflows stay grounded in verified data. By calling `list_libraries`, the agent understands the organizational structure of your content. This prevents it from pulling answers from irrelevant categories.

Track RFP project status using an MCP Server

Keep your project pipeline visible to your agents. The server allows `list_projects` to surface ongoing initiatives while `get_project` provides the specific details needed to move tasks forward. This gives your automation layer a clear view of what requires attention. You no longer need to manually export project lists to see your current workload.

Sync questionnaire responses with Google ADK

Automate the data flow for your next security questionnaire. The agent uses `list_questionnaires` to map out the scope and `get_questionnaire_responses` to see what has already been addressed. After drafting, the agent uses `create_submission` to push the completed work. This keeps your records updated in real time.

Setup guide

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

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Common questions about Loopio MCP in Google ADK

They can. By connecting the server, your agents gain the ability to search your entire knowledge base for approved answers.

It acts as a bridge for your agent to read and write project data. You can manage the entire RFP lifecycle through standard agent tool calls.

The agent can retrieve all questionnaire entries and their current statuses. This is useful for summarizing progress on a long RFP.

You can use a tool filter in your agent configuration. This limits the agent to only the specific operations you want it to perform.

Data privacy is handled through your unique endpoint token. No sensitive information is shared outside your authenticated session.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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