How to Use the Reply.io MCP in LangChain

Q: Can I trace Reply.io tool executions in LangChain pipelines using LangSmith?

Yes, every call to tools like listcampaigns shows up in your LangSmith traces. You get full visibility into the exact JSON payloads and latency of each API call.

Q: How do I pass Reply.io campaign IDs to a LangChain agent?

You can query available IDs using listcampaigns within your agent's initial setup step. The agent then dynamically injects the correct ID into downstream tools like addperson.

Q: Can I use this MCP Server to manage multiple sender accounts?

Yes, the listemailaccounts tool retrieves all connected senders. Your agent can inspect these accounts to balance sending volume across your domains.

Drive Reply.io outreach campaigns directly from your LangChain pipelines and trace every prospect transition in LangSmith.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Reply.io MCP to LangChain

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

GDPR Included with Plan

Setup Reply.io with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Automate lead routing in LangChain chains

Look, manual data entry is a waste of time. This MCP Server exposes `add_person` to inject fresh prospects directly into your active sequences based on upstream database triggers. You construct a LangChain runnable where a new lead is detected, validated, and immediately pushed to Reply.io without writing brittle glue code. By combining this with LangSmith, you trace exactly when a contact was added and view the payload schema in real-time.

Build self-correcting outreach loops

Let's be real: if your open rates tank, you need to know immediately. The `get_campaign_stats` tool lets your LangChain agent pull live performance metrics to decide if a sequence needs adjustments. You can chain `list_campaigns` and `get_campaign` to inspect which sequences are active before making changes. This setup prevents your agent from shooting in the dark or editing the wrong templates.

Stop sequences instantly based on reply analysis

Here is the play: the `pause_person` tool halts active sequences the second your LangChain agent detects a negative reply or a manual opt-out. Integrating this MCP Server lets you pause contacts without delay. If the contact changes their mind, `resume_person` kicks the prospect right back into the sequence. Managing prospect state transitions becomes a simple node in your LangGraph state machine.

Setup guide

Set up Reply.io MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Reply.io tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "replyio-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Reply.io transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Reply.io now

Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

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

Common questions about Reply.io MCP in LangChain

Your LangChain runnables should use an exponential backoff wrapper around the MCP Server tools. If `add_person` hits a limit, the chain pauses and retries automatically before failing.

Yes, every call to tools like `list_campaigns` shows up in your LangSmith traces. You get full visibility into the exact JSON payloads and latency of each API call.

You can query available IDs using `list_campaigns` within your agent's initial setup step. The agent then dynamically injects the correct ID into downstream tools like `add_person`.

Yes, the `list_email_accounts` tool retrieves all connected senders. Your agent can inspect these accounts to balance sending volume across your domains.

The server runs in a zero-trust V8 sandbox on Vinkius, meaning prospect emails and campaign metrics are processed in memory and never stored. All communication between your LangChain agent and Reply.io is encrypted in transit.

Use it with your favorite AI tools

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

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