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How to Use the Loop MCP in Google ADK

Analyze millions of feedback tokens in Google ADK using Gemini to extract deep customer sentiment and sync tickets.

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Google ADK

Connect Loop MCP to Google ADK

Create your Vinkius account to connect Loop 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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Enterprise Sentiment Analysis in Google ADK

Gemini's million-token context window lets you feed massive batches of customer feedback directly into your agent. Use `list_feedback` to pull raw customer responses and let the model analyze complex multi-turn support histories alongside your existing BigQuery tables. By combining Google ADK with this MCP Server, your enterprise agents can cross-reference customer profiles with actual feedback records. The agent can run `get_sentiment_metrics` to build high-level trend reports without losing details in long chats.

Automated Theme Extraction and Cloud Sync

Stop manually sorting feedback tags and let your Google Cloud agents handle the organization. Your MCP agent can call `list_feedback_themes` to find emerging product pain points, then write those insights back to your internal database. If a theme requires engineering eyes, the agent queries `list_projects` to find the correct workspace. It then maps the feedback trends to your internal tracking tools, ensuring your development queue matches real customer priorities.

Context-Rich Ticket Management

Give your support agents immediate access to engineering progress. When a user asks about a bug, your Google ADK agent calls `list_dev_tickets` and `get_ticket_details` to verify the status of the fix. The agent can then run `add_internal_note` to update the customer's record with the latest timeline. This loop keeps your support and development teams aligned without forcing anyone to leave their primary workspace.

Setup guide

Set up Loop 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Loop 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="Loop_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Loop tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Loop. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Loop MCP in Google ADK

Instantiate `McpToolset` with your Vinkius HTTP transport URL. This MCP Server setup lets Gemini call tools like `list_feedback_sources` and `get_me` during a run.
Yes, you can use the `tool_names` filter in the ADK toolset configuration. This lets you restrict your agent to read-only tools like `list_feedback` while hiding write operations like `add_internal_note`.
Gemini can ingest thousands of customer feedback items retrieved via `list_feedback` in a single prompt. This allows the model to spot complex, long-term sentiment shifts that shorter-context models would completely miss.
Yes, since the ADK runs natively in the Google Cloud ecosystem, your agent can query customer SQL databases and match those profiles against feedback retrieved from `get_feedback_details`.
All API requests for dev tickets and customer feedback bypass persistent storage entirely. Vinkius executes these MCP calls within ephemeral, sandboxed V8 environments, ensuring your customer data is never cached or used for training.

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