Where do I find my App ID and API Key?

In Ontraport, go to **Administration** > **Integrations** > **Ontraport API Instructions and Key Manager**. Create a new key to get both the App ID and the API Key.

Can I target custom objects with these tools?

Currently, these tools are optimized for core objects like Contacts (0), Tasks (1), and Sequences (5). Support for other custom objects can be added by specifying their respective Object IDs in future updates.

Does this support creating new contacts?

Yes! Use the `create_contact` action. You can provide an email address along with optional first and last names to add a new person to your Ontraport CRM.

Ontraport MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Ontraport
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Ontraport Specialist",
    goal="Help users interact with Ontraport effectively",
    backstory=(
        "You are an expert at leveraging Ontraport 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 Ontraport "
        "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)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Ontraport MCP Server

Connect your Ontraport account to any AI agent and take full control of your business automation workflows through natural conversation.

When paired with CrewAI, Ontraport becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Ontraport 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

Contact Management — List, retrieve, and create contacts to maintain your CRM data effortlessly.
Campaign & Sequence Tracking — List marketing campaigns and automation sequences to oversee your customer journeys.
Sales Monitoring — List transactions and track sales performance in real-time.
Content Oversight — List landing pages, forms, and messages to maintain a bird's-eye view of your marketing assets.
Task Management — List assigned tasks to stay on top of your team's operational needs.

The Ontraport 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 Ontraport to CrewAI via MCP

Follow these steps to integrate the Ontraport 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 Ontraport

Why Use CrewAI with the Ontraport MCP Server

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

Ontraport + CrewAI Use Cases

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

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

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

Ontraport MCP Tools for CrewAI (10)

These 10 tools become available when you connect Ontraport to CrewAI via MCP:

create_contact

Create a new contact

get_contact

Get details for a specific contact

list_campaigns

List marketing campaigns

list_contacts

List Ontraport contacts

list_forms

List lead capture forms

list_landing_pages

List Ontraport landing pages

list_messages

List email/SMS messages

list_sequences

List automation sequences

list_tasks

List assigned tasks

list_transactions

List sales transactions

Example Prompts for Ontraport in CrewAI

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

"List the last 5 contacts added to my Ontraport account."

"Check the status of my active marketing campaigns."

"List all sales transactions from today."

Troubleshooting Ontraport MCP Server with CrewAI

Common issues when connecting Ontraport 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.

Ontraport + CrewAI FAQ

Common questions about integrating Ontraport 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.