How to Use the Front MCP in Google ADK

Q: How do I initialize Front with Google ADK?

Install google-adk via pip. Create a McpToolset using StreamableHttpServerParameters with your Vinkius URL, and pass it to your LlmAgent under the tools argument.

Q: Can I restrict which Front tools the Google ADK agent sees?

Yes. Use the optional toolnames filter when setting up the toolset. This prevents a read-only analysis agent from accidentally triggering sendinboxreply.

Q: How does the agent know who to assign a ticket to?

It runs listinboxteammates to see your active staff roster. It then matches the ticket content to the right person and updates the assignee.

Connect Front to Google ADK and let Gemini agents analyze massive support histories alongside your BigQuery data.

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Connect Front MCP to Google ADK

Create your Vinkius account to connect Front 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 Front with Google ADK

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Perplexity

Analyze years of Front context

Gemini models handle over a million tokens of context. You can pull massive email histories using `list_inbox_threads` through this MCP Server and dump them straight into the model's working memory. The agent reads through every interaction to spot churn risks. It uses `get_conversation_details` to pull specific metadata, combining Front data with your existing BigQuery customer records.

Automate inbox triage with this MCP Server

Shared inboxes get messy fast. Your Gemini agent runs `list_all_conversations` to scan the backlog and identify neglected tickets. It then executes `update_conversation_status` to archive spam or reassign high-priority leads. You filter the exposed tools using the `tool_names` parameter so the triage agent only has access to routing functions.

Draft responses based on cloud data

Customer questions often require digging into internal systems. The agent searches for past resolutions via `search_conversations` and cross-references that with Vertex AI knowledge bases. Once it formulates the correct answer, it triggers `send_inbox_reply` to email the user. You verify the connection health at any time by calling `verify_api_status`.

Setup guide

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

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Common questions about Front MCP in Google ADK

Install `google-adk` via pip. Create a `McpToolset` using `StreamableHttpServerParameters` with your Vinkius URL, and pass it to your `LlmAgent` under the `tools` argument.

Yes. Use the optional `tool_names` filter when setting up the toolset. This prevents a read-only analysis agent from accidentally triggering `send_inbox_reply`.

It supports both Stdio and HTTP transports natively. For Vinkius endpoints, you will use the HTTP configuration.

It runs `list_inbox_teammates` to see your active staff roster. It then matches the ticket content to the right person and updates the assignee.

Your shared inbox messages, teammate metadata, and customer addresses are processed in memory and immediately discarded. The sandbox environment destroys itself after the session ends, leaving zero residual traces from this MCP Server.

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