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

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

How do I list all the subscribers in my account?

Simply ask the agent to `list_subscribers`. It will retrieve the list of contacts from your Campaigner account, including their status and primary details.

Does the integration allow adding a new subscriber?

Yes. Use the `create_subscriber` action and provide the email address. The contact will be added to your Campaigner account immediately.

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

Name: Campaigner
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 Campaigner 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({
        "campaigner": {
            "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 Campaigner, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 Campaigner MCP Server

Connect your Campaigner 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 Campaigner 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 subscribers and retrieve detailed profiles, including contact information and history.
Campaign Management — List all email campaigns and retrieve detailed metadata, including subjects and automated workflows.
Performance Tracking — Retrieve real-time statistics for specific campaigns to monitor engagement and ROI.
Publication Coordination — Access and list your 'Publications' (contact lists) to ensure your audience segments are properly managed.
Workflow & Segment Monitoring — List automated workflows and audience segments directly from your workspace.
Subscriber Growth — Create and add new subscribers to your account using natural language.

The Campaigner 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 Campaigner to LangChain via MCP

Follow these steps to integrate the Campaigner 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 Campaigner via MCP

Why Use LangChain with the Campaigner MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Campaigner 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 Campaigner queries for multi-turn workflows

Campaigner + LangChain Use Cases

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

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

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

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

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

Campaigner MCP Tools for LangChain (10)

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

create_subscriber

Add a new subscriber to Campaigner

get_account_info

Retrieve core account information

get_campaign

Get details of a specific campaign

get_campaign_stats

Retrieve performance statistics for a campaign

get_subscriber

Get details of a specific subscriber by email

list_campaigns

List all email campaigns

list_publications

List all publications/contact lists

list_segments

List configured audience segments

list_subscribers

List all newsletter subscribers

list_workflows

List automated workflows

Example Prompts for Campaigner in LangChain

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

"List all my email campaigns in Campaigner."

"Show the stats for campaign ID 12345."

"Search for subscriber with email john.doe@example.com."

Troubleshooting Campaigner MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Campaigner + LangChain FAQ

Common questions about integrating Campaigner 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.