ContentKing MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ContentKing through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to ContentKing "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in ContentKing?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About ContentKing MCP Server
Integrate your AI with ContentKing, the real-time SEO auditing and monitoring platform.
Pydantic AI validates every ContentKing tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Site Audits — Review crawled pages and identify active SEO risks or technical errors instantly.
- Change Monitoring — Get summaries of recent alerts or infrastructure changes impacting SEO.
- Metric Retrieval — Fetch health scores and page-level data for your reporting workflows.
The ContentKing MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect ContentKing to Pydantic AI via MCP
Follow these steps to integrate the ContentKing MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from ContentKing with type-safe schemas
Why Use Pydantic AI with the ContentKing MCP Server
Pydantic AI provides unique advantages when paired with ContentKing through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ContentKing integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your ContentKing connection logic from agent behavior for testable, maintainable code
ContentKing + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the ContentKing MCP Server delivers measurable value.
Type-safe data pipelines: query ContentKing with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple ContentKing tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query ContentKing and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock ContentKing responses and write comprehensive agent tests
ContentKing MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect ContentKing to Pydantic AI via MCP:
get_active_alerts
Get active monitoring alerts for a website
get_issue_details
Get details for a specific SEO issue
get_portfolio_summary
Get a high-level health summary across all websites
get_website_health
Get current health score and status for a website
list_monitored_pages
List monitoring data for pages on a website
list_seo_issues
List SEO issues for a website
list_websites
List all websites monitored in ContentKing
notify_page_update
Notify ContentKing of page updates to trigger re-crawl
notify_sitemap_update
Notify ContentKing that a sitemap has been updated
search_pages_by_url
Search for monitored pages by URL keyword
Example Prompts for ContentKing in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with ContentKing immediately.
"Get the current health score for 'vinkius.com'."
"List all critical alerts for meta tag changes today."
"Give me a high-level summary of the health of all my monitored websites."
Troubleshooting ContentKing MCP Server with Pydantic AI
Common issues when connecting ContentKing to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiContentKing + Pydantic AI FAQ
Common questions about integrating ContentKing MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect ContentKing with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ContentKing to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.