How to Use the Sender.net MCP in LangChain

Q: How do I connect Sender.net to LangChain?

Install langchain-mcp-adapters. Then initialize MultiServerMCPClient with your HTTP transport URL. Pass client.gettools() into your agent configuration.

Q: Can my LangChain agent read Sender.net campaign performance?

Yes. The agent calls getcampaignanalytics directly. It parses the return data to make routing decisions for the next step in your workflow.

Q: How do I manage subscriber groups with LangChain and Sender.net?

Your ReAct agent uses listsubscribergroups to find the right segment ID. Then it routes new signups there via createsubscriber.

Wire the Sender.net MCP Server into your LangChain pipelines to automate subscriber updates and campaign rollouts.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Sender.net MCP to LangChain

Create your Vinkius account to connect Sender.net 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 Sender.net with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

LangChain MCP Server Workflows

Sender.net acts as your marketing engine, but LangChain drives the actual logic. You feed raw subscriber data into a ReAct agent. It immediately checks existing profiles using `get_subscriber_details`. Missing users trigger a `create_subscriber` call. Status changes hit `update_subscriber`. LangSmith tracks every API request along the way.

Launch Campaigns Programmatically

Stop clicking through web dashboards. Your agent pulls product copy from a database and formats the HTML. Then it executes `create_campaign` directly from the pipeline. You dictate the exact logic. The agent grabs target segments using `list_subscriber_groups` and assigns the broadcast. It runs autonomously while you watch the trace logs.

Feed Analytics Back Into Chains

Marketing data usually dies in a static report. Here, your agent pulls real-time stats using `get_campaign_analytics`. It sees open rates and click-throughs instantly. Low engagement triggers an automatic pivot. The chain might pull the underperforming segment with `list_subscribers` and queue up a follow-up test.

Setup guide

Set up Sender.net 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 Sender.net 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({
    "sendernet-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 Sender.net 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 Sender.net. 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 Sender.net 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 Sender.net MCP in LangChain

Install `langchain-mcp-adapters`. Then initialize `MultiServerMCPClient` with your HTTP transport URL. Pass `client.get_tools()` into your agent configuration.

Yes. The agent calls `get_campaign_analytics` directly. It parses the return data to make routing decisions for the next step in your workflow.

Every tool execution logs automatically. You see exactly when `list_email_campaigns` fired, how long it took, and what payload it returned.

Your ReAct agent uses `list_subscriber_groups` to find the right segment ID. Then it routes new signups there via `create_subscriber`.

The connection accesses subscriber email addresses and engagement metrics. Your authentication token scopes this access entirely. Vinkius runs the endpoint in an ephemeral V8 isolate sandbox, dropping everything once the session ends.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript