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 CrewAI 10 tools — connect in under 2 minutes

Name: Campaigner
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Campaigner Specialist",
    goal="Help users interact with Campaigner effectively",
    backstory=(
        "You are an expert at leveraging Campaigner 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 Campaigner "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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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.

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

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 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 Campaigner to CrewAI via MCP

Follow these steps to integrate the Campaigner 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 10 tools from Campaigner

Why Use CrewAI with the Campaigner MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Campaigner 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 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

Campaigner + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Campaigner 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 Campaigner, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Campaigner 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 Campaigner against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Campaigner MCP Tools for CrewAI (10)

These 10 tools become available when you connect Campaigner to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Campaigner 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

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

Campaigner + CrewAI FAQ

Common questions about integrating Campaigner 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.