How to Use the Dailymotion Extended MCP in Pydantic AI

Q: How do I configure Dailymotion Extended with Pydantic AI?

Install the package with pip install "pydantic-ai-slimmcp". Use the MCP toolset class to connect to your Vinkius HTTP endpoint, then pass that toolset to your agent.

Q: Can Pydantic AI handle the partner upload process in Dailymotion Extended?

Yes. The agent calls getpartneruploadurl or getuploadurl to retrieve secure endpoints, validating the returned string format before initiating the upload via the MCP toolset.

Q: Does this setup support streaming video URLs?

It does. The agent runs getvideostream to retrieve live URLs, validating the schema so your frontend can consume the stream safely.

Get strict, type-safe video management using Pydantic AI to control your Dailymotion catalog.

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Connect Dailymotion Extended MCP to Pydantic AI

Create your Vinkius account to connect Dailymotion Extended 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.

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Setup Dailymotion Extended with Pydantic AI

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Perplexity

Type-safe video uploads and metadata edits

Stop worrying about malformed API payloads breaking your production app. When your agent calls `create_video` or `edit_video` via this MCP server, Pydantic AI validates the inputs and outputs against strict schemas before anything hits the network. If Dailymotion returns an unexpected field or a missing string, the framework raises a clear validation error immediately. This keeps your video library clean and prevents corrupted metadata from slipping through.

Validated player creation and stream retrieval

Ensure your frontend never receives broken video links. The agent calls `get_video_stream` to fetch streaming URLs, validating the response format against your Pydantic models in real time. When configuring new embeds, the agent uses `create_player` to spin up custom players. Every player configuration is strictly typed, so you know exactly what parameters are active.

Strict GraphQL reporting via this MCP Server

Video analytics can be messy. By using `reporting_graphql`, your agent queries the Dailymotion reporting API and parses the incoming GraphQL payload directly into structured Python objects. If you need to search your catalog, the agent runs `list_videos` to fetch active records. The list is validated on arrival, so your code always knows what keys are safe to read.

Setup guide

Set up Dailymotion Extended 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 deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with 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 call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "dailymotion-extended-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Dailymotion Extended tools.",
)

result = await agent.run("List recent Dailymotion Extended transactions")
print(result.output)

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Common questions about Dailymotion Extended MCP in Pydantic AI

Install the package with `pip install "pydantic-ai-slim[mcp]"`. Use the MCP toolset class to connect to your Vinkius HTTP endpoint, then pass that toolset to your agent.

The framework will raise a validation error instantly. This prevents silent failures and ensures your agent only works with clean, structured video data.

Yes. The agent calls `get_partner_upload_url` or `get_upload_url` to retrieve secure endpoints, validating the returned string format before initiating the upload via the MCP toolset.

It does. The agent runs `get_video_stream` to retrieve live URLs, validating the schema so your frontend can consume the stream safely.

All data transmission happens over TLS-encrypted connections directly to the Vinkius gateway. Your partner report files and video assets are processed in memory and never stored in a shared database.

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