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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Loop MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Loop tools in your ADK agent.
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
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