Can I check the statistics for a specific campaign using the agent?

Yes! Use the `get_campaign_performance` tool with the Campaign ID. Your agent will fetch the detailed performance data, including open rates, clicks, and bounces, directly from Campaign Monitor.

How do I add a new subscriber to a list?

Simply ask the agent to `add_subscriber` and provide the List ID, name, and email address. The subscriber will be added to your Campaign Monitor list with consent tracking enabled automatically.

Does the integration allow listing all my clients?

Yes. Use the `list_clients` tool. It will retrieve all the client accounts managed under your Campaign Monitor account, making it easy to find the IDs needed for other operations.

Campaign Monitor MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Campaign Monitor
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Campaign Monitor through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "campaign-monitor": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Campaign Monitor, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

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 Campaign Monitor MCP Server

Connect your Campaign Monitor account to any AI agent and orchestrate your email marketing, subscriber management, and multi-channel campaigns through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Campaign Monitor through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Subscriber Oversight — List all your active subscribers and retrieve detailed profiles, including contact information and history.
Campaign Management — List all email campaigns and retrieve detailed metadata, including subjects and statuses.
Performance Tracking — Retrieve real-time statistics for specific campaigns to monitor engagement, ROI, and delivery rates.
List Coordination — Access and list your contact lists and segments to ensure your audience is properly managed.
Client & account Monitoring — Access core client information and templates managed within the platform.
Subscriber Growth — Add new subscribers directly from your workspace with custom names and automated consent tracking.

The Campaign Monitor MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 Campaign Monitor to LangChain via MCP

Follow these steps to integrate the Campaign Monitor MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Campaign Monitor via MCP

Why Use LangChain with the Campaign Monitor MCP Server

LangChain provides unique advantages when paired with Campaign Monitor through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Campaign Monitor MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Campaign Monitor queries for multi-turn workflows

Campaign Monitor + LangChain Use Cases

Practical scenarios where LangChain combined with the Campaign Monitor MCP Server delivers measurable value.

RAG with live data: combine Campaign Monitor tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Campaign Monitor, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Campaign Monitor tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Campaign Monitor tool call, measure latency, and optimize your agent's performance

Campaign Monitor MCP Tools for LangChain (10)

These 10 tools become available when you connect Campaign Monitor to LangChain via MCP:

add_subscriber

Add a new subscriber to a list

get_account_info

Retrieve core account information

get_campaign_performance

Retrieve performance summary for a specific campaign

get_client_details

Get details of a specific client

get_contact_list

Get details of a specific contact list

list_campaigns

List all campaigns for a client

list_clients

List all client accounts

list_contact_lists

List all contact lists for a specific client

list_email_templates

List all templates for a client

list_subscribers

List active subscribers in a list

Example Prompts for Campaign Monitor in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Campaign Monitor immediately.

"List all my clients in Campaign Monitor."

"Show the lists for client cli_123."

"Add Jane Smith (jane@example.com) to the 'Weekly Newsletter' list."

Troubleshooting Campaign Monitor MCP Server with LangChain

Common issues when connecting Campaign Monitor to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Campaign Monitor + LangChain FAQ

Common questions about integrating Campaign Monitor MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.