How do I get my Reply.io API key?

Log in to your Reply.io account at **app.reply.io**. Click **Settings** in the left sidebar (gear icon). Navigate to the **API Key** section. Your API key is displayed directly on this page — click the **copy icon** to copy it. If no key exists, click **Generate API Key**. Paste it into the configuration field below. The API key has the same permissions as your user account.

Can I track LinkedIn and email engagement together?

Yes. Reply.io's multi-channel sequences combine email, LinkedIn, calls, and SMS in a single workflow. Your AI agent can pull engagement data across all channels — showing you which touchpoints drive the most replies and converting the best for each campaign.

Can my agent find prospect emails using Reply.io's database?

Yes. Reply.io includes a built-in contact database. Your AI agent can search by company, job title, location, and industry to find verified prospect emails — then add them directly to outreach campaigns in one conversation.

What happens if a prospect replies while I'm using the agent?

Reply.io automatically pauses the sequence for that prospect when they reply. Your AI agent can read the reply content and status via the API — so you always have up-to-date engagement signals to decide on next steps.

Reply.io MCP Server for Google ADK 8 tools — connect in under 2 minutes

Name: Reply.io
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Reply.io as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="replyio_agent",
    instruction=(
        "You help users interact with Reply.io "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

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IAMAccess control

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V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Reply.io MCP Server

Connect Reply.io to your AI agent and manage your multi-channel sales engagement platform conversationally.

Google ADK natively supports Reply.io as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Campaign Management — List, create, and pause outreach campaigns across email, LinkedIn, calls, and SMS channels.
Prospect Tracking — Add prospects, check engagement statuses (opened, replied, bounced), and manage contact lists.
Sequence Analytics — Pull performance metrics per campaign and per step — open rates, reply rates, and conversion data.
People Search — Use Reply.io's contact database to find prospect emails and enrich your outreach lists.

The Reply.io MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Reply.io to Google ADK via MCP

Follow these steps to integrate the Reply.io MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 8 tools from Reply.io via MCP

Why Use Google ADK with the Reply.io MCP Server

Google ADK provides unique advantages when paired with Reply.io through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Reply.io

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Reply.io tools with BigQuery, Vertex AI, and Cloud Functions

Reply.io + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Reply.io MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Reply.io and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Reply.io tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Reply.io regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Reply.io

Reply.io MCP Tools for Google ADK (8)

These 8 tools become available when you connect Reply.io to Google ADK via MCP:

add_person

io. Add a person

get_campaign

Get campaign

get_campaign_stats

Get campaign stats

list_campaigns

io outreach campaigns. List campaigns

list_email_accounts

List email accounts

list_people

io. List people

pause_person

Pause a person

resume_person

Resume a person

Example Prompts for Reply.io in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Reply.io immediately.

"Show me the performance of my 'CTO Outreach' campaign."

"Add prospect alex@techstart.com to the 'Series B Founders' sequence."

"Which prospects replied positively this week?"

Troubleshooting Reply.io MCP Server with Google ADK

Common issues when connecting Reply.io to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Reply.io + Google ADK FAQ

Common questions about integrating Reply.io MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.