How to Use the DNSimple MCP in LlamaIndex
Index DNSimple zone records into LlamaIndex vector stores using the DNSimple MCP Server to query your network topology.
Works with every AI agent you already use
…and any MCP-compatible client
Connect DNSimple MCP to LlamaIndex
Create your Vinkius account to connect DNSimple 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.
Query live DNS records with LlamaIndex
The `list_zone_records` tool pulls your live DNS configurations directly into LlamaIndex document structures. Your agent indexes these records into a local vector store, turning raw DNS data into a searchable knowledge base. You ask where an IP is routed, and the agent finds it instantly. By querying the DNSimple MCP Server, your RAG pipeline gets actual, real-time zone data instead of relying on outdated internal wiki pages.
Audit security settings using semantic search
The `get_dnssec` tool exposes the security status of your domains to LlamaIndex's indexing engine. The agent checks if DNSSEC is active across all zones and logs the results. It flags insecure zones by comparing live API outputs against your security policy. You run natural language queries like 'Which domains lack DS records?' and the LlamaIndex agent answers using data fetched via `list_ds_records`. It is simple as that.
Analyze domain pricing and TLDs with RAG
The `get_domain_prices` tool feeds current registration costs directly into your LlamaIndex knowledge indexes. Your agent queries this data alongside `list_tlds` to find the most cost-effective extensions for new projects. The agent matches these prices with your internal budget documents. It builds a unified index, helping you make purchase decisions based on actual DNSimple live rates.
Set up DNSimple 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 DNSimple 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 DNSimple tools.",
)
response = await agent.run("List recent DNSimple data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DNSimple. 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 DNSimple MCP in LlamaIndex
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