How do I add a tag to a contact?

Use the `add_tag_to_contact` tool and provide the contact ID and the tag ID. Your agent will associate the tag with that specific contact in ActiveCampaign.

What is the API rate limit for ActiveCampaign?

ActiveCampaign enforces a standard limit of 5 requests per second per account. Exceeding this returns a 429 error code.

Should I use API version 1 or 3?

While version 1 is still technically supported, we always recommend (and this agent defaults to) RESTful API version 3 for performance and stability.

ActiveCampaign MCP Server for LangChain 5 tools — connect in under 2 minutes

Name: ActiveCampaign
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 5 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect ActiveCampaign 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({
        "activecampaign": {
            "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 ActiveCampaign, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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 ActiveCampaign MCP Server

Connect your ActiveCampaign account to your AI agent to unlock powerful marketing and sales automation. From creating new contacts to auditing deal pipelines and managing email lists, your agent handles customer lifecycle management through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with ActiveCampaign through native MCP adapters. Connect 5 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

Contact Management — Create, update, and list contacts, including adding tags and assigning to specific lists
Deal Tracking — Monitor your sales pipeline by listing and retrieving details for deals across different stages
Automation Oversight — Audit active automations and ensure your customer journeys are running smoothly
List Management — Manage email lists and track subscriber growth and engagement patterns
CRM Integration — Quickly look up customer history and technical metadata to support sales outreach

The ActiveCampaign MCP Server exposes 5 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 ActiveCampaign to LangChain via MCP

Follow these steps to integrate the ActiveCampaign 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 5 tools from ActiveCampaign via MCP

Why Use LangChain with the ActiveCampaign MCP Server

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

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

ActiveCampaign + LangChain Use Cases

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

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

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

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

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

ActiveCampaign MCP Tools for LangChain (5)

These 5 tools become available when you connect ActiveCampaign to LangChain via MCP:

add_contact_to_list

Requires both the Contact ID and the List ID. Subscribe an existing ActiveCampaign contact to a specific mailing list

add_tag_to_contact

Requires both the Contact ID and the Tag ID. Apply a specific tag to an ActiveCampaign contact profile

create_contact

Only email is strictly required. Add a new person to your ActiveCampaign account with basic profile details

list_contacts

Retrieve and search active contacts in ActiveCampaign, optionally filtering by email address

list_deals

Retrieve active opportunities and deals from your ActiveCampaign sales pipeline

Example Prompts for ActiveCampaign in LangChain

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

"Search for a contact with email 'john.doe@example.com'."

Troubleshooting ActiveCampaign MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

ActiveCampaign + LangChain FAQ

Common questions about integrating ActiveCampaign 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.