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 OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Reply.io
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Reply.io through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Reply.io Assistant",
            instructions=(
                "You help users interact with Reply.io. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Reply.io"
        )
        print(result.final_output)

asyncio.run(main())

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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.

The OpenAI Agents SDK auto-discovers all 8 tools from Reply.io through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Reply.io, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Reply.io MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from Reply.io

Why Use OpenAI Agents SDK with the Reply.io MCP Server

OpenAI Agents SDK provides unique advantages when paired with Reply.io through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Reply.io + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Reply.io MCP Server delivers measurable value.

Automated workflows: build agents that query Reply.io, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Reply.io, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Reply.io tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Reply.io to resolve tickets, look up records, and update statuses without human intervention

Reply.io MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Reply.io to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Reply.io to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Reply.io + OpenAI Agents SDK FAQ

Common questions about integrating Reply.io MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.