How to Use the EX.CO Video Experience MCP in Pydantic AI

Q: How do I configure the EX.CO Video Experience MCP Server with Pydantic AI?

You initialize the connection using MCPToolset pointing to your Vinkius HTTP endpoint. Pass this toolset directly to your Agent constructor to register all ten tools. This unified approach replaces the deprecated HTTP server classes.

Q: Can Pydantic AI validate data from getvideodetaileddata in EX.CO Video Experience?

Yes, the framework validates all incoming metadata from getvideodetaileddata against your Pydantic models at runtime. If the EX.CO API returns unexpected fields, your agent raises a validation error immediately. This protects your database from corrupt entries.

Bring runtime type safety to your video workflows by connecting Pydantic AI directly to the EX.CO Video Experience.

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Connect EX.CO Video Experience MCP to Pydantic AI

Create your Vinkius account to connect EX.CO Video Experience 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 EX.CO Video Experience with Pydantic AI

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Type-safe analytics ingestion via MCP Server

`get_video_analytics_summary` returns structured engagement metrics that Pydantic AI validates at runtime. Any unexpected field formats trigger an immediate, loud failure before downstream processes are corrupted. This strict validation prevents silent data errors in your analytics pipelines. You define exact schemas for play rates and view counts, and the framework guarantees the incoming data matches.

Validate interactive content schemas

`list_interactive_content` pulls active polls and quizzes into your type-safe agent runtime. The agent uses `get_content_detailed_intelligence` to verify that every interactive element has the required structural fields populated. Using this MCP Server ensures that broken or malformed content settings are flagged during the query phase. You don't have to write custom try-except blocks to catch API schema mismatches.

Audit published video libraries

`list_successfully_published_videos` retrieves active assets with guaranteed type safety. Your agent cross-references these with `get_video_detailed_data` to ensure all metadata fields comply with your internal publishing standards. This programmatic check keeps your video library clean. The agent automatically flags videos with missing tags, bad URLs, or incomplete description fields.

Setup guide

Set up EX.CO Video Experience 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": {
        "exco-video-experience-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent EX.CO Video Experience transactions")
print(result.output)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EX.CO Video Experience. 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.

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Common questions about EX.CO Video Experience MCP in Pydantic AI

You initialize the connection using `MCPToolset` pointing to your Vinkius HTTP endpoint. Pass this toolset directly to your `Agent` constructor to register all ten tools. This unified approach replaces the deprecated HTTP server classes.

Yes, the framework validates all incoming metadata from `get_video_detailed_data` against your Pydantic models at runtime. If the EX.CO API returns unexpected fields, your agent raises a validation error immediately. This protects your database from corrupt entries.

The agent halts execution and throws a clear validation error. This behavior ensures your production pipelines never ingest null values or malformed strings. You get total type safety across all ten video tools.

This setup supports both Streamable HTTP and SSE transports. You must run the server externally and connect your Pydantic AI agent to the MCP Server using the unified toolset interface.

Your interactive content settings and account keys are isolated inside Vinkius's ephemeral V8 engines. No credentials or payload data are written to disk. The connection uses single-token authorization to keep your API transactions completely private.

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