How to Use the zipperHQ MCP in CrewAI

Q: Can I search video content and manage records using zipperHQ and CrewAI?

Yes. You can assign an agent to use searchvideos and another agent to run listrecordings. The crew will pass the results back, allowing you to review both types of assets autonomously.

Q: What is the best way to check zipperHQ connectivity with CrewAI?

You should include the checkzipperstatus tool. This allows your monitor agent to first verify that the ZipperHQ API connection is solid before starting any complex multi-step operation.

Q: How do I ensure the reliability of my process when using zipperHQ and CrewAI?

Always include status checks like checkzipperstatus early in your operational pipeline. This prevents agents from getting stuck on connection failures, keeping your workflow reliable.

Run autonomous operations on zipperHQ communications using CrewAI agents.

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Connect zipperHQ MCP to CrewAI

Create your Vinkius account to connect zipperHQ to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup zipperHQ with CrewAI

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Automated Contact Outreach

An agent can first run `list_contacts` to gather all recipients. A secondary agent then uses this list and executes `get_contact_views` for each contact, compiling a full report of engagement. This role-based specialization allows one agent to manage the data collection while another handles the reporting.

Analyze Video Assets

Use an analysis agent to fetch details with `get_video`, and then have a separate monitor agent run `get_video_analytics` on that specific video. The system automatically compares viewing data against the contact list. For broader research, another agent can use `search_videos` across thousands of records.

Comprehensive Record Keeping

A specialized 'Archivist' agent handles all historical data. It runs `list_recordings` to get screen recordings and simultaneously uses `list_videos` to gather video emails. The shared memory keeps track of both types. This capability ensures that every piece of communication is tracked for your operational review.

Setup guide

Set up zipperHQ MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke zipperHQ tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="zipperHQ Analyst",
    goal="Access and analyze zipperHQ data via MCP.",
    backstory="Expert analyst with direct zipperHQ access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent zipperHQ transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="zipperHQ Analyst",
        goal="Access and analyze zipperHQ data via MCP.",
        backstory="Expert analyst with direct zipperHQ access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent zipperHQ transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by zipperHQ. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about zipperHQ MCP in CrewAI

CrewAI runs multiple, specialized agents collaborating on the task. One agent gathers contact data with `list_contacts`, while another agent analyzes it using metrics from `get_video_analytics`. It's built for teamwork.

Yes. You can assign an agent to use `search_videos` and another agent to run `list_recordings`. The crew will pass the results back, allowing you to review both types of assets autonomously.

You should include the `check_zipper_status` tool. This allows your monitor agent to first verify that the ZipperHQ API connection is solid before starting any complex multi-step operation.

The server touches contact metadata, video records, and account information. The system handles structured communication details used for reporting.

Always include status checks like `check_zipper_status` early in your operational pipeline. This prevents agents from getting stuck on connection failures, keeping your workflow reliable.

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