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zipperHQ MCP Server for CrewAIGive CrewAI instant access to 10 tools to Check Zipper Status, Get Account, Get Contact Views, and more

Built by Vinkius GDPR 10 Tools Framework

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

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The zipperHQ app connector for CrewAI is a standout in the Communication Messaging category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
from crewai import Agent, Task, Crew

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

Connect your zipperHQ account to any AI agent and take full control of your video email orchestration and automated personalized messaging through natural conversation.

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

  • Video Portfolio Orchestration — List and manage your entire high-fidelity portfolio of video emails programmatically, retrieving detailed technical metadata and SKU IDs
  • Recording & Status Intelligence — Programmatically monitor real-time recording statuses (Pending, Uploaded, Ready) to maintain a perfectly coordinated content pipeline
  • Engagement Monitoring — Access real-time status updates for video views (e.g., 'Last Viewed') and track individual recipient interaction directly through your agent
  • Metadata Management — Programmatically retrieve high-fidelity video durations and session IDs to maintain a perfectly coordinated media record
  • Operational Monitoring — Verify account-level API connectivity and monitor video orchestration volume directly through your agent for perfectly coordinated service scaling

The zipperHQ 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.

All 10 zipperHQ tools available for CrewAI

When CrewAI connects to zipperHQ through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-email, personalized-messaging, engagement-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_zipper_status

Verify ZipperHQ API connectivity

get_account

Get your ZipperHQ account info

get_contact_views

Get video views for a specific contact

get_recent_videos

Get the 10 most recent videos

get_video

Get details of a specific video

get_video_analytics

Get analytics for a specific video

list_contacts

List all video recipients

list_recordings

List all screen recordings

list_videos

List all video emails

search_videos

Search videos by keyword

Connect zipperHQ to CrewAI via MCP

Follow these steps to wire zipperHQ into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from zipperHQ

Why Use CrewAI with the zipperHQ MCP Server

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

01

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

02

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

03

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

04

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

zipperHQ + CrewAI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for zipperHQ in CrewAI

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

01

"List all video emails sent today in my zipperHQ account."

02

"Show the view duration for the last video sent to 'Acme Corp'."

03

"Check for any video emails with 'Pending' recording status."

Troubleshooting zipperHQ MCP Server with CrewAI

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

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

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.

zipperHQ + CrewAI FAQ

Common questions about integrating zipperHQ MCP Server with CrewAI.

01

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.
02

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.
03

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.
04

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.
05

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.