Can I get direct download links for my videos through the agent?

Yes. The `get_video_source_files` tool allows your agent to retrieve direct MP4 download links and stream URLs for different qualities (like 720p or 1080p), making it easy to share raw files or use them in other applications.

How do I add a video to a specific player?

Use the `attach_video_to_player` tool. You'll need to provide the `player_id` and the `video_id`. Your agent can help you find these IDs by listing your players and videos first.

Can I create new video players through conversation?

Absolutely. The `create_empty_player` tool lets you provision a new player container with a descriptive name. Once created, you can attach videos to it and manage its settings directly through your agent.

Vidyard MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Vidyard
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 Vidyard 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 Vidyard "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Vidyard?"
    )
    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 Vidyard MCP Server

Connect your Vidyard account to any AI agent and manage your business video library through natural conversation.

Pydantic AI validates every Vidyard 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 Library — List all video assets stored in your Vidyard dashboard and retrieve unique video IDs
Metadata & Details — Get technical metadata for any video including length, encoding status, and descriptions
Player Management — Create, update, and manage video players (facades) to customize how your content is embedded
Video Organization — Attach videos to specific players and organize your content for different marketing or sales needs
Direct Stream Access — Retrieve direct stream URLs and raw MP4 download links for various video qualities (480p, 720p, etc.)
Asset Management — Rename players or permanently delete video assets and player containers from your dashboard

The Vidyard 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 Vidyard to Pydantic AI via MCP

Follow these steps to integrate the Vidyard 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 Vidyard with type-safe schemas

Why Use Pydantic AI with the Vidyard MCP Server

Pydantic AI provides unique advantages when paired with Vidyard 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 Vidyard integration code

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

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

Vidyard + Pydantic AI Use Cases

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

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

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

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

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

Vidyard MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Vidyard to Pydantic AI via MCP:

attach_video_to_player

Requires both player ID and video ID. Adds a video asset into a specific player container

create_empty_player

Creates a new, empty video player container

delete_video_asset

This action is irreversible. Permanently deletes a video asset from Vidyard

delete_video_player

Note that the original video assets are not deleted. Permanently deletes a video player

get_player_details

Retrieves details for a specific video player

get_video_details

Retrieves technical metadata for a specific video asset

get_video_source_files

Retrieves direct stream URLs for various video qualities (480p, 720p, etc.)

list_video_players

Lists all configured video players (facades) in the account

list_videos

Lists all video assets stored in the Vidyard dashboard

update_player_name

Updates the display name or title of an existing player

Example Prompts for Vidyard in Pydantic AI

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

"List all my videos in Vidyard."

"Get the direct download links for the 'Product Demo' video."

"Create a new player called 'Website Homepage' and attach my latest video to it."

Troubleshooting Vidyard MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Vidyard + Pydantic AI FAQ

Common questions about integrating Vidyard 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 Vidyard MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.