How do I get an EX.CO API Key?

Log in to your EX.CO platform, navigate to **Settings > API Integration**, and you can generate or retrieve your unique **REST API Key** from there. Ensure you have the necessary organizational permissions.

Does the integration show real-time views?

Yes, you can use the get_video_analytics_summary tool to retrieve the latest view counts, completions, and interaction metrics across your entire video library.

Can the agent upload new videos?

This integration currently focuses on listing and auditing videos, interactive content, and analytics. Uploading or editing video assets should be managed via the EX.CO platform dashboard.

EX.CO Video Experience MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: EX.CO Video Experience
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 EX.CO Video Experience "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in EX.CO Video Experience?"
    )
    print(result.data)

asyncio.run(main())

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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 EX.CO Video Experience MCP Server

Integrate EX.CO, the leading video experience platform, directly into your AI workflow. Manage your video library and interactive content (quizzes, polls), track real-time performance analytics and engagement metrics, monitor distribution channels and playlists, and oversee your entire video strategy using natural language.

Pydantic AI validates every EX.CO Video Experience 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 Oversight — List and retrieve detailed information, durations, and metadata for all your hosted videos.
Interactive Content Intelligence — Monitor quizzes, polls, and other interactive items, resolving configuration details and performance data.
Performance Management — Access real-time video analytics, resolving total views, completions, and interaction rates via chat.
Content Auditing — Retrieve high-level summaries of video volume, channel activity, and organizational content health instantly.

The EX.CO Video Experience 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.

How to Connect EX.CO Video Experience to Pydantic AI via MCP

Follow these steps to integrate the EX.CO Video Experience MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 10 tools from EX.CO Video Experience with type-safe schemas

Why Use Pydantic AI with the EX.CO Video Experience MCP Server

Pydantic AI provides unique advantages when paired with EX.CO Video Experience 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 EX.CO Video Experience integration code

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

Dependency injection system cleanly separates your EX.CO Video Experience connection logic from agent behavior for testable, maintainable code

EX.CO Video Experience + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the EX.CO Video Experience MCP Server delivers measurable value.

Type-safe data pipelines: query EX.CO Video Experience with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple EX.CO Video Experience tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query EX.CO Video Experience and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock EX.CO Video Experience responses and write comprehensive agent tests

EX.CO Video Experience MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect EX.CO Video Experience to Pydantic AI via MCP:

get_content_detailed_intelligence

Get detailed settings and performance data for a specific content item

get_ex_co_account_metadata

Retrieve metadata and limits for your EX.CO account

get_video_analytics_summary

Get a high-level summary of video performance and engagement

get_video_detailed_data

Get detailed settings and metadata for a specific video

list_interactive_content

List all interactive content items (quizzes, polls, etc.) in your account

list_successfully_published_videos

Identify videos that are currently in a "Published" status

list_video_distribution_channels

List all video channels configured in your organization

list_video_library

CO API. List all videos in your EX.CO library

list_video_playlists

List all video playlists created in your account

quick_video_performance_audit

Retrieve a high-level summary of videos and analytics

Example Prompts for EX.CO Video Experience in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with EX.CO Video Experience immediately.

"List all videos in my library."

"Show me analytics summary for this week."

"Search for interactive content matching 'Quiz'."

Troubleshooting EX.CO Video Experience MCP Server with Pydantic AI

Common issues when connecting EX.CO Video Experience to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

EX.CO Video Experience + Pydantic AI FAQ

Common questions about integrating EX.CO Video Experience MCP Server with Pydantic AI.

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 EX.CO Video Experience MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.