How to Use the Cilium (eBPF Networking) MCP in LlamaIndex
Index your Cilium (eBPF Networking) data into searchable knowledge for LlamaIndex.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Cilium (eBPF Networking) MCP to LlamaIndex
Create your Vinkius account to connect Cilium (eBPF Networking) 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.
Searchable network state in LlamaIndex
Pass `get_endpoint` results into your LlamaIndex knowledge base to index specific container networking details. You turn transient endpoint data into a queryable history. Your RAG application retrieves past endpoint states to answer questions about historical network connectivity. You rely on actual data instead of guessing what happened.
Query Cilium (eBPF Networking) config with LlamaIndex
Use `get_config` to populate your vector store with current daemon parameters. You search across your network settings using natural language. This allows you to ask about your current network policy and get grounded answers. You avoid hallucination by anchoring your index to live API output.
Index Cilium (eBPF Networking) nodes for LlamaIndex
Trigger `get_cluster_nodes` to keep your index updated with the latest cluster topology. Your AI client maintains a current map of all active nodes. You query the index to find which node hosts a specific workload. It saves you from digging through raw daemon logs manually.
Set up Cilium (eBPF Networking) 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 Cilium (eBPF Networking) 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 Cilium (eBPF Networking) tools.",
)
response = await agent.run("List recent Cilium (eBPF Networking) data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cilium. 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 Cilium (eBPF Networking) MCP in LlamaIndex
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