Bring Video Campaigns
to Pydantic AI
Learn how to connect Videco 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.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Videco MCP Server?
Connect your Videco account to any AI agent and manage personalized videos, campaigns, leads, and analytics through natural conversation.
What you can do
- Video Management u2014 Create, list, and review personalized videos from your template library
- Campaign Management u2014 Create and monitor video campaigns with audience targeting and delivery metrics
- Lead Tracking u2014 Access all leads captured from video interactions with engagement scores
- Video Analytics u2014 View detailed metrics including views, watch time, drop-off points, and CTA click rates
- Template-Based Creation u2014 Generate new personalized videos instantly from existing templates
How it works
- Subscribe to this server
- Retrieve your API Key from your Videco account settings
- Start managing video campaigns from Claude, Cursor, or any MCP client
Who is this for?
- Sales Teams u2014 create personalized prospecting videos and track engagement per lead
- Marketing Teams u2014 launch video campaigns and monitor conversion metrics
- Customer Success u2014 send personalized onboarding videos and track completion rates
Built-in capabilities (10)
Verify Videco API connectivity
Create a campaign
Create a personalized video
Get campaign details
Get lead details
Get video details
Get video analytics
List all campaigns
List all leads
List all videos
Why Pydantic AI?
Pydantic AI validates every Videco 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.
- —
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 Videco integration code
- —
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
- —
Dependency injection system cleanly separates your Videco connection logic from agent behavior for testable, maintainable code
Videco in Pydantic AI
Videco and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Videco 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 | 4,000+ 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 Videco in Pydantic AI
The Videco 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
Videco for Pydantic AI
Every tool call from Pydantic AI to the Videco 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 create a personalized video via AI?
Use the create_video tool with a name and template ID. The personalized video is generated instantly from your Videco templates.
Can I track video engagement and leads?
Yes. Use get_video_analytics for views, watch time, and CTR, and list_leads to see all captured lead contacts with engagement scores.
How do I create and manage video campaigns?
Use create_campaign with a name and video ID to launch a campaign, then list_campaigns and get_campaign to track performance.
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 Videco MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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