How to Use the Namecheap MCP in LlamaIndex
Index your Namecheap domain portfolio and query DNS configurations directly in LlamaIndex.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Namecheap MCP to LlamaIndex
Create your Vinkius account to connect Namecheap 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 DNS knowledge base
The `get_dns_hosts` tool feeds your current A, MX, and TXT records directly into your vector store. LlamaIndex reads the host names and TTL values, embedding them for semantic search. When a developer asks about mail routing, the query engine searches the index instead of guessing. It pulls the exact MX preferences and pairs them with nameserver data from `get_dns_servers` to provide an accurate, grounded answer.
Track SSL certificate expiration
You use `get_ssl_certs` to load your entire certificate inventory into a LlamaIndex document structure. The tool extracts activation status and expiration dates across your infrastructure. Your RAG application can then answer questions like which certificates expire this month. It queries the indexed data and uses `get_ssl_info` to fetch detailed validation requirements for the specific domains in question.
Query domain portfolios via MCP Server
The `get_domains` tool pulls your active registrations, lock statuses, and creation dates into your query engine. LlamaIndex handles pagination automatically to build a complete map of your assets. You ask the agent for a summary of upcoming renewals. It filters the indexed expiration dates and cross-references them with the current USD funds returned by `get_balance`.
Set up Namecheap 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 Namecheap 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 Namecheap tools.",
)
response = await agent.run("List recent Namecheap data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Namecheap. 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.
Why Choose Vinkius
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
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60%
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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
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Common questions about Namecheap MCP in LlamaIndex
Use it with your favorite AI tools
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