How to Use the ContentKing MCP in LlamaIndex

Q: Can ContentKing data be filtered in LlamaIndex?

Absolutely, use the allowedtools filter to restrict which audit functions the agent can access. This ensures the index only contains the data you choose to store.

Index your live SEO audit data into LlamaIndex to build RAG systems that reason over your website's technical health.

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Connect ContentKing MCP to LlamaIndex

Create your Vinkius account to connect ContentKing to LlamaIndex 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 LlamaIndex

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Ground LlamaIndex answers in SEO data

Call `get_issue_details` to pull technical metadata and push it straight into your vector store. Your index now contains the context needed to answer questions about specific site errors. Use `search_pages_by_url` to locate specific pages and index their current status. This creates a searchable knowledge base that knows exactly which pages are failing audit checks.

Monitor site health via MCP Server index

The MCP Server allows your agent to retrieve current health scores with `get_website_health`. You index these snapshots to track performance trends over time. Retrieve active alerts with `get_active_alerts` and store them in your index. Your RAG system can now query past alerts to determine if a current issue is a recurring problem.

Update knowledge bases with page lists

Use `list_monitored_pages` to extract a full inventory of your site content. This data populates your index, ensuring your agent has a current map of every page it needs to analyze. Combine this with `list_seo_issues` to build an index of actionable tasks. Your agent queries this list to prioritize its work based on the most critical SEO bottlenecks.

Setup guide

Set up ContentKing MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all ContentKing MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to ContentKing tools.",
)
response = await agent.run("List recent ContentKing data")

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Common questions about ContentKing MCP in LlamaIndex

Load the tools via the MCP spec and pass them to your FunctionAgent. This allows the framework to index the output of every SEO query you run.

No, the tool results are indexed directly into your vector store. The agent answers based on the live data retrieved from your site audits.

Absolutely, use the allowed_tools filter to restrict which audit functions the agent can access. This ensures the index only contains the data you choose to store.

Yes, use the async tool list methods provided by the adapter. This keeps your indexing process fast and efficient.

We treat your SEO audit reports as sensitive API results. Your data remains isolated within your index and is never shared outside your local environment.

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