How to Use the Missive MCP in Google ADK

Q: How does this MCP Server secure my organization's contact list?

The Vinkius runtime isolates all contact data fetched via listcontacts. It runs inside a zero-trust sandbox, preventing external memory leaks.

Connect Gemini models to your shared inbox using Google ADK to analyze massive email history.

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Connect Missive MCP to Google ADK

Create your Vinkius account to connect Missive 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 Missive with Google ADK

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Analyze massive inbox history with Gemini and Google ADK

The `get_conversation` tool pulls entire message threads into Gemini's million-token context window. Your agent can read everything at once using `list_messages` without hitting context limits or losing track of older replies. Since Google ADK connects to your enterprise data, you can cross-reference email logs with tables in BigQuery. The agent gets a complete picture of customer history before drafting a reply.

Automate team workflows via this MCP Server

This MCP Server lets your agent run `create_post` to write internal comments or trigger actions like closing and labeling. The agent reads current tags with `list_labels` to ensure it only applies existing organizational markers. This keeps your human team in the loop. Instead of hiding AI actions in a black box, the agent posts its reasoning directly inside the Missive chat thread where anyone can see it.

Draft and dispatch emails from Google ADK

The `create_draft` tool generates structured email replies based on customer inquiries. Once the draft is ready, the agent can call `send_draft` to deliver it to the recipient. You can restrict which tools are exposed by passing a filtered list to the McpToolset constructor. This prevents a triage agent from executing writes while still letting it read incoming mail.

Setup guide

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

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Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Missive MCP in Google ADK

Use the McpToolset class with the server's HTTP URL. Pass this toolset directly into your LlmAgent initialization block.

Yes. You can use the optional tool names filter in the ADK setup to restrict access, blocking tools like `send_draft` if needed.

The ADK uses Gemini's large context window to process output from `list_messages`. It reads thousands of messages without trimming.

Yes. Your agent can query BigQuery for customer purchase history, then use `create_draft` to write a highly personalized message.

The Vinkius runtime isolates all contact data fetched via `list_contacts`. It runs inside a zero-trust sandbox, preventing external memory leaks.

Use it with your favorite AI tools

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

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Google ADK sdk-python

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Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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