ContentKing MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ContentKing through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="ContentKing Assistant",
instructions=(
"You help users interact with ContentKing. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ContentKing"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 10 tools from ContentKing through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ContentKing, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the ContentKing MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from ContentKing
Why Use OpenAI Agents SDK with the ContentKing MCP Server
OpenAI Agents SDK provides unique advantages when paired with ContentKing through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
ContentKing + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ContentKing MCP Server delivers measurable value.
Automated workflows: build agents that query ContentKing, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ContentKing, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ContentKing tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ContentKing to resolve tickets, look up records, and update statuses without human intervention
ContentKing MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect ContentKing to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting ContentKing to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ContentKing + OpenAI Agents SDK FAQ
Common questions about integrating ContentKing MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
