How to Use the Reply.io MCP in Google ADK

Q: Can Google ADK use Gemini's long context to optimize Reply.io campaigns?

Yes, you can load thousands of historical records from listpeople directly into Gemini's context window. The model analyzes the entire list at once to detect patterns in prospect engagement.

Q: Can I restrict which Reply.io tools my Google ADK agent can access?

Yes, you can use the toolnames filter inside the McpToolset configuration to expose only specific tools. For example, you can allow getcampaignstats while blocking write tools like pauseperson.

Q: How does Google ADK handle high-volume data from Reply.io?

The SDK processes tools like listcampaigns efficiently by streaming the payload directly into the model's memory. This prevents memory bottlenecks when managing hundreds of active outbound sequences.

Run enterprise-grade Reply.io outreach campaigns using Google ADK with Gemini's million-token context window.

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Connect Reply.io MCP to Google ADK

Create your Vinkius account to connect Reply.io to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Reply.io with Google ADK

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Feed BigQuery lead data directly to Reply.io

The `add_person` tool allows your Google ADK agent to write new contacts directly into active sequences. This setup connects your BigQuery database to your outreach campaigns, letting the agent pull freshly scored leads and push them to the endpoint. Before adding a prospect, the agent uses `list_campaigns` to find the exact sequence matching the lead's industry. This keeps your sales pipeline organized without requiring any manual CSV exports or custom glue code.

Analyze campaign metrics using Google ADK and Gemini

The `get_campaign_stats` tool retrieves detailed delivery and response metrics directly into Gemini's long-context window. This MCP Server helps feed raw analytics into your enterprise pipelines. Because Gemini handles massive token counts, your agent can analyze months of performance data in a single turn. The agent cross-references these metrics with `get_campaign` to pinpoint which specific sequence steps are causing prospects to drop off.

Manage sender health across enterprise email accounts

The `list_email_accounts` tool gives your Google ADK agent visibility into every connected sending inbox. Querying active domains becomes instant with this setup. If a specific inbox is flagged, the agent uses `list_people` to identify active prospects associated with that sender. This allows you to reassign those prospects to healthier domains before your main sequence is affected.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Reply.io. 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 Reply.io MCP in Google ADK

Initialize the McpToolset with the HTTP transport URL provided by Vinkius. Pass this toolset into your LlmAgent constructor to expose all eight outreach tools to Gemini instantly.

Yes, you can load thousands of historical records from list_people directly into Gemini's context window. The model analyzes the entire list at once to detect patterns in prospect engagement.

Yes, you can use the tool_names filter inside the McpToolset configuration to expose only specific tools. For example, you can allow get_campaign_stats while blocking write tools like pause_person.

The SDK processes tools like list_campaigns efficiently by streaming the payload directly into the model's memory. This prevents memory bottlenecks when managing hundreds of active outbound sequences.

Vinkius runs the server in an ephemeral sandbox that handles authentication via a single endpoint token. Your email account domains and campaign configurations are never written to disk, ensuring strict compliance with enterprise security policies.

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