How to Use the KeyCDN (Content Delivery Network) MCP in LlamaIndex
Index live KeyCDN traffic logs and zone configurations directly into your LlamaIndex vector stores.
Works with every AI agent you already use
…and any MCP-compatible client
Connect KeyCDN (Content Delivery Network) MCP to LlamaIndex
Create your Vinkius account to connect KeyCDN (Content Delivery Network) 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.
Build a searchable LlamaIndex CDN database
Turn raw KeyCDN states into searchable data within your LlamaIndex vector store. This MCP Server reads your KeyCDN zone details via `list_zones` and indexes the configuration parameters straight into your LlamaIndex document store. This lets your LlamaIndex support agent answer complex questions about KeyCDN edge configurations without reading documentation. You query your LlamaIndex, and the agent retrieves details from KeyCDN's `get_zone` to explain exactly how your caching headers are set up.
Query KeyCDN bandwidth logs with RAG
Stop manually parsing raw KeyCDN JSON logs in your LlamaIndex pipeline. Your LlamaIndex RAG pipeline queries KeyCDN bandwidth metrics retrieved from `list_traffic_reports` to find patterns in your CDN consumption. LlamaIndex indexes these KeyCDN metrics alongside your deployment logs. When you ask LlamaIndex why KeyCDN bandwidth spiked last Tuesday, the agent connects the dots between a release and the traffic data.
Synchronize LlamaIndex with edge cache
Synchronize your LlamaIndex documentation with your KeyCDN edge cache. Your LlamaIndex pipeline checks your vector store for updated files, then runs `purge_specific_url` to ensure KeyCDN users see the latest docs. This prevents your LlamaIndex search index from getting out of sync with what's actually live on KeyCDN. The LlamaIndex agent checks if a page changed, updates the vector store, and clears the KeyCDN cache in one go.
Set up KeyCDN (Content Delivery Network) MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 KeyCDN (Content Delivery Network) MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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 KeyCDN (Content Delivery Network) tools.",
)
response = await agent.run("List recent KeyCDN (Content Delivery Network) data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by KeyCDN. 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 KeyCDN (Content Delivery Network) MCP in LlamaIndex
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