Iterable MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to Iterable through Vinkius, pass the Edge URL in the `mcps` parameter and every Iterable tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Iterable Specialist",
goal="Help users interact with Iterable effectively",
backstory=(
"You are an expert at leveraging Iterable 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 Iterable "
"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)
* 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 Iterable MCP Server
Empower your AI agents to manage your cross-channel marketing with Iterable. This MCP server allows you to list campaigns, retrieve user profiles, track engagement metrics, manage contact lists, and view message templates directly through the Iterable API. Ideal for automating growth marketing and customer lifecycle management.
When paired with CrewAI, Iterable becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Iterable tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
The Iterable 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 Iterable to CrewAI via MCP
Follow these steps to integrate the Iterable 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 Iterable
Why Use CrewAI with the Iterable MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Iterable 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
Iterable + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Iterable MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Iterable 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 Iterable, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Iterable 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 Iterable against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Iterable MCP Tools for CrewAI (10)
These 10 tools become available when you connect Iterable to CrewAI via MCP:
get_campaign
Returns message content, audience targeting, and scheduling settings. Use this to analyze the setup of a specific campaign. Retrieves details for a specific campaign
get_campaign_metrics
Essential for reporting on marketing ROI and audience engagement. Retrieves performance metrics for a specific campaign
get_user
Essential for deep intelligence on an individual subscriber. Retrieves details for a user by email
list_campaigns
Returns campaign names, IDs, and statuses. Use this to identify active outreach efforts or locate a specific campaign ID. Lists all marketing campaigns
list_channels
g., Marketing, Transactional). Essential for understanding the available paths for reaching users. Lists all communication channels
list_lists
Useful for identifying segments and groups of users for targeted messaging. Lists all contact lists
list_message_types
g., "Weekly Newsletter", "Welcome Email") defined in the account. Useful for auditing message categorization. Lists all message types
list_templates
) available in the account. Useful for identifying content assets used in campaigns. Lists all message templates
list_webhooks
Useful for auditing system integrations and data exports. Lists all configured webhooks
list_workflows
Useful for monitoring automated marketing logic and identifying trigger-based campaigns. Lists all automation workflows
Example Prompts for Iterable in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Iterable immediately.
"List all active marketing campaigns in my Iterable account."
"Show me the details for user 'customer@example.com'."
"Check the metrics for campaign ID '123'."
Troubleshooting Iterable MCP Server with CrewAI
Common issues when connecting Iterable to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Iterable + CrewAI FAQ
Common questions about integrating Iterable MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
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?
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?
Can CrewAI agents call multiple MCP tools in parallel?
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)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Iterable with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Iterable to CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.