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 CrewAI 5 tools — connect in under 2 minutes

Name: ActiveCampaign
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 5 Tools Framework

Connect your CrewAI agents to ActiveCampaign through the Vinkius — pass the Edge URL in the `mcps` parameter and every ActiveCampaign tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="ActiveCampaign Specialist",
    goal="Help users interact with ActiveCampaign effectively",
    backstory=(
        "You are an expert at leveraging ActiveCampaign tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in ActiveCampaign "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 5 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, ActiveCampaign becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call ActiveCampaign tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the ActiveCampaign MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 5 tools from ActiveCampaign

Why Use CrewAI with the ActiveCampaign MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with ActiveCampaign through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

ActiveCampaign + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries ActiveCampaign for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries ActiveCampaign, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain ActiveCampaign tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries ActiveCampaign against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

ActiveCampaign MCP Tools for CrewAI (5)

These 5 tools become available when you connect ActiveCampaign to CrewAI 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 CrewAI

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

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

Troubleshooting ActiveCampaign MCP Server with CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

ActiveCampaign + CrewAI FAQ

Common questions about integrating ActiveCampaign MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.