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How to Use the iQiyi Open Platform / 爱奇艺开放平台 MCP in Pydantic AI

Expose iQiyi Open Platform / 爱奇艺开放平台 to your Pydantic AI agent with strict runtime validation using this MCP Server.

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Pydantic AI

Connect iQiyi Open Platform / 爱奇艺开放平台 MCP to Pydantic AI

Create your Vinkius account to connect iQiyi Open Platform / 爱奇艺开放平台 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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Validate Media Search Results with Pydantic AI

The `search_video_content` tool returns search results that are strictly validated against runtime schemas. If the iQiyi API structure changes, Pydantic AI throws an immediate validation error instead of passing malformed data to your agent. This prevents silent failures in your production pipelines. Your agent calls `get_content_metadata` knowing that every field, from episode counts to titles, matches your exact Python type definitions.

Parse User Profiles Safely via MCP Server

The `get_user_profile` tool retrieves critical user account details. Pydantic AI enforces strict type checks on this payload, ensuring your agent never processes a null username or an invalid ID format. By wrapping this MCP Server in type-safe toolsets, you eliminate the risk of model hallucinations. Your agent reads the validated profile data and proceeds with absolute certainty about the user's identity.

Check VIP Privileges with Strict Runtime Types

The `get_vip_status` tool verifies user subscription levels. The returned dates and status fields are validated at runtime, ensuring your agent only recommends premium content when the membership is active. You can combine this with `list_user_orders` to audit billing streams. Every order item is cast to a strict Pydantic model, making it easy to parse purchase histories without writing custom validation code.

Setup guide

Set up iQiyi Open Platform / 爱奇艺开放平台 MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "iqiyi-open-platform-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to iQiyi Open Platform / 爱奇艺开放平台 tools.",
)

result = await agent.run("List recent iQiyi Open Platform / 爱奇艺开放平台 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 iQiyi Open Platform / 爱奇艺开放平台. 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 iQiyi Open Platform / 爱奇艺开放平台 MCP in Pydantic AI

You initialize `MCPToolset` with the server URL and register it in the `toolsets` parameter of your Agent. This makes tools like `get_video_rankings` instantly available to your model.
If `list_video_categories` returns fields that violate your defined schemas, Pydantic AI raises a validation error. This keeps your application from ingesting corrupted metadata.
Yes, the toolkit supports both SSE and Streamable HTTP transports. You can connect your agent to the externally running MCP Server using either protocol.
Yes, the agent calls `get_order_info` to fetch transaction details. The returned data is parsed into a type-safe structure, allowing you to run audits safely.
All API requests run through an ephemeral V8 sandbox that does not persist any transactional data. Your subscription dates and order histories are processed in memory and never written to disk.

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