How to Use the ContentKing MCP in Pydantic AI

Q: How do I register the ContentKing toolset inside Pydantic AI?

You instantiate the MCPToolset with your Vinkius HTTP endpoint. Then, pass that toolset object into the toolsets list of your Agent constructor.

Validate ContentKing SEO metrics at runtime with type-safe Pydantic AI agent toolsets.

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Connect ContentKing MCP to Pydantic AI

Create your Vinkius account to connect ContentKing 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 ContentKing with Pydantic AI

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Type-safe health monitoring via Pydantic AI

The `get_website_health` tool returns structured health metrics that Pydantic AI validates against strict schemas at runtime. If the API returns a malformed response, your agent catches it instantly. When health scores drop, the agent runs `get_active_alerts` to find the culprit. Every alert field is type-checked, preventing silent bugs in your monitoring loops.

Verified page searches with this MCP Server

This MCP Server exposes the `search_pages_by_url` tool to let you scan your index for specific URLs with guaranteed type safety. The returned list matches your Pydantic models exactly. Your agent then calls `list_monitored_pages` to get the page-level details. No hallucinated fields or missing properties can slip through, as Pydantic AI validates every single row before your code processes it.

Fail-safe issue diagnosis

The `list_seo_issues` tool pulls active SEO errors directly into your type-safe validation pipeline. It ensures every issue ID and category conforms to your data structures. You can then drill down using `get_issue_details` to get the exact fix requirements. If ContentKing updates their API schema, your agent fails loudly and safely instead of passing corrupted data to your database.

Setup guide

Set up ContentKing 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": {
        "contentking-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent ContentKing 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 ContentKing. 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.

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place for every integration

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Common questions about ContentKing MCP in Pydantic AI

You instantiate the `MCPToolset` with your Vinkius HTTP endpoint. Then, pass that toolset object into the `toolsets` list of your `Agent` constructor.

The agent will raise a validation error immediately. This prevents your pipeline from processing bad data, ensuring your automated SEO reports remain 100% accurate.

Yes, the MCP integration supports both Streamable HTTP and SSE transports, allowing you to connect to the hosted Vinkius server using your preferred protocol.

Yes, because Pydantic AI is model-agnostic. You can run your type-safe agent with OpenAI, Anthropic, or local models, and they will all use the same validated tools.

The MCP Server operates in an isolated V8 sandbox on Vinkius. Your API credentials and SEO metrics are never cached, logged, or exposed to third parties, ensuring strict data isolation.

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