How to Use the Outreach MCP in Google ADK

Q: How to connect Outreach to Google ADK?

Use the McpToolset class and pass your server URL. You can then filter the toolnames to expose only the specific Outreach functions your agent needs.

Q: Can Google ADK agents list Outreach opportunities?

They can. By calling listopportunities, your agent gets full visibility into deal stages for better pipeline management.

Q: Is Outreach sequence automation possible in Google ADK?

It is. Your agent can call listsequences to find the right cadence and addtosequence to enroll prospects automatically.

Sync your Outreach sales data with Google ADK to build high-performance agents on the Vertex AI and Gemini ecosystem.

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Connect Outreach MCP to Google ADK

Create your Vinkius account to connect Outreach 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 Outreach with Google ADK

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Manage sales tasks with Google ADK

Your agents can now query `list_sales_tasks` to prioritize daily outreach efforts based on current opportunity status. It connects directly to your existing workflow, allowing the agent to update prospect records via `update_prospect` in real-time.

Vertex AI integration for Google ADK

Use the power of Gemini to analyze your `list_email_templates` and suggest improvements for higher reply rates. This MCP Server feeds Outreach data directly into your long-context agents for smarter sales reasoning.

Automate Outreach workflows in Google ADK

Your agent uses `list_companies` and `list_opportunities` to map out account-based sales motions. It keeps your pipeline moving by triggering actions across your entire sales stack without leaving your IDE.

Setup guide

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

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Common questions about Outreach MCP in Google ADK

Use the `McpToolset` class and pass your server URL. You can then filter the `tool_names` to expose only the specific Outreach functions your agent needs.

They can. By calling `list_opportunities`, your agent gets full visibility into deal stages for better pipeline management.

It is. Your agent can call `list_sequences` to find the right cadence and `add_to_sequence` to enroll prospects automatically.

Yes, you can restrict the tools exposed to the agent by providing a list of allowed names in the `McpToolset` configuration.

We secure your Outreach access via Vinkius managed auth. Your prospect records are handled within an isolated sandbox environment, ensuring no data leakage to external services.

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