How to Use the Vidyard MCP in Pydantic AI
Manage Vidyard hosting using the Pydantic AI framework for guaranteed correctness.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Vidyard MCP to Pydantic AI
Create your Vinkius account to connect Vidyard to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Controlled Player Updates with MCP Server
The agent can manage player containers by listing them all via `list_video_players`. It also lets you set a new display title using `update_player_name`, ensuring that the data type matches expectations. This high degree of type safety means your logic won't break when changing video player titles.
Getting Specific Video Details
You can pull technical metadata on a video asset using `get_video_details`. If you need the direct links for multiple stream qualities (like 720p), use `get_video_source_files`. These tools allow your Pydantic AI agent to validate that all necessary inputs and outputs are correct before proceeding.
Full Asset Lifecycle Control
Need to add a video? Call `attach_video_to_player` with the two required IDs. Need cleanup? Use `delete_video_asset` or `delete_video_player`. The ability to call these functions makes your agent robust and predictable. It's great knowing that even destructive actions are handled through validated tool calls.
Set up Vidyard MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"vidyard-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Vidyard tools.",
)
result = await agent.run("List recent Vidyard transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Vidyard. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Vidyard MCP in Pydantic AI
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