Bring Video Email
to Pydantic AI
Learn how to connect zipperHQ to Pydantic AI and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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
How it works
1. Subscribe to this server
2. Retrieve your API Key from your zipperHQ dashboard (Settings > API)
3. Start orchestrating your video growth from Claude, Cursor, or any MCP client
No more manual checking of individual view counts or missing video recording status. Your AI acts as your dedicated video coordinator and messaging architect.
Who is this for?
- Sales Managers — instantly retrieve video performance recaps and monitor lead interaction using natural language commands
- Customer Success Leads — verify individual video metadata and track client engagement history without leaving your creative workspace
- Developers — integrate high-speed zipperHQ video data into custom CRM and email workflows through simple AI queries
Built-in capabilities (10)
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
Why Pydantic AI?
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.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your zipperHQ integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your zipperHQ connection logic from agent behavior for testable, maintainable code
zipperHQ in Pydantic AI
zipperHQ and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect zipperHQ to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for zipperHQ in Pydantic AI
The zipperHQ 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
zipperHQ for Pydantic AI
Every tool call from Pydantic AI to the zipperHQ MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my zipperHQ API Key?
Log in to your account, navigate to Settings > API, and copy your unique access token from the credentials section.
Can I check video recording status via AI?
Yes! The list_videos tool allows your agent to retrieve status metadata for all your video emails.
How do I list my sent videos?
Use the list_videos tool to retrieve your complete video directory along with the unique identifiers for all managed assets.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your zipperHQ MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai