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Videco MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Check Videco Status, Create Campaign, Create Video, and more

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Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Videco through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Videco MCP Server for Pydantic AI is a standout in the Marketing Automation category — giving your AI agent 10 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
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 Videco "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Videco?"
    )
    print(result.data)

asyncio.run(main())
Videco
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 Videco MCP Server

Connect your Videco account to any AI agent and manage personalized videos, campaigns, leads, and analytics through natural conversation.

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.

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

The Videco MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Videco tools available for Pydantic AI

When Pydantic AI connects to Videco through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-campaigns, personalized-video, lead-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

check

Check videco status on Videco

Verify Videco API connectivity

create

Create campaign on Videco

Create a campaign

create

Create video on Videco

Create a personalized video

get

Get campaign on Videco

Get campaign details

get

Get lead on Videco

Get lead details

get

Get video on Videco

Get video details

get

Get video analytics on Videco

Get video analytics

list

List campaigns on Videco

List all campaigns

list

List leads on Videco

List all leads

list

List videos on Videco

List all videos

Connect Videco to Pydantic AI via MCP

Follow these steps to wire Videco into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 10 tools from Videco with type-safe schemas

Why Use Pydantic AI with the Videco MCP Server

Pydantic AI provides unique advantages when paired with Videco through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Videco integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Videco connection logic from agent behavior for testable, maintainable code

Videco + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Videco MCP Server delivers measurable value.

01

Type-safe data pipelines: query Videco with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Videco tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Videco and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Videco responses and write comprehensive agent tests

Example Prompts for Videco in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Videco immediately.

01

"List all my personalized videos."

02

"Show analytics for video VID-2048."

03

"Create a campaign called 'Spring Launch' with video VID-2048."

Troubleshooting Videco MCP Server with Pydantic AI

Common issues when connecting Videco to Pydantic AI through Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Videco + Pydantic AI FAQ

Common questions about integrating Videco MCP Server with Pydantic AI.

01

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.
02

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.
03

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.

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