zipperHQ MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Check Zipper Status, Get Account, Get Contact Views, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect zipperHQ through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The zipperHQ app connector for Pydantic AI 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
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to zipperHQ "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in zipperHQ?"
)
print(result.data)
asyncio.run(main())
* 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.
Pydantic AI validates every zipperHQ tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI
When Pydantic AI 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.
Verify ZipperHQ API connectivity
Get your ZipperHQ account info
Get video views for a specific contact
Get the 10 most recent videos
Get details of a specific video
Get analytics for a specific video
List all video recipients
List all screen recordings
List all video emails
Search videos by keyword
Connect zipperHQ to Pydantic AI via MCP
Follow these steps to wire zipperHQ into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the zipperHQ MCP Server
Pydantic AI provides unique advantages when paired with zipperHQ through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your zipperHQ integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your zipperHQ connection logic from agent behavior for testable, maintainable code
zipperHQ + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the zipperHQ MCP Server delivers measurable value.
Type-safe data pipelines: query zipperHQ with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple zipperHQ tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query zipperHQ and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock zipperHQ responses and write comprehensive agent tests
Example Prompts for zipperHQ in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with zipperHQ immediately.
"List all video emails sent today in my zipperHQ account."
"Show the view duration for the last video sent to 'Acme Corp'."
"Check for any video emails with 'Pending' recording status."
Troubleshooting zipperHQ MCP Server with Pydantic AI
Common issues when connecting zipperHQ to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aizipperHQ + Pydantic AI FAQ
Common questions about integrating zipperHQ MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.