Public Suffix Extractor MCP Server for LlamaIndexGive LlamaIndex instant access to 1 tools to Extract Domain
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Public Suffix Extractor as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The Public Suffix Extractor MCP Server for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Public Suffix Extractor. "
"You have 1 tools available."
),
)
response = await agent.run(
"What tools are available in Public Suffix Extractor?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Public Suffix Extractor MCP Server
When an analytics agent processes URLs, it cannot guess that in app.vinkius.co.uk the TLD is .co.uk (not .uk). This MCP uses the official Mozilla Public Suffix List to fragment hostnames with 100% accuracy.
LlamaIndex agents combine Public Suffix Extractor tool responses with indexed documents for comprehensive, grounded answers. Connect 1 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
The Superpowers
- Official List: Uses the same Public Suffix List maintained by Mozilla and used by every major browser.
- Complex TLDs: Correctly handles .co.uk, .com.br, .org.au, .amazonaws.com, and 9,000+ other suffixes.
The Public Suffix Extractor MCP Server exposes 1 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 1 Public Suffix Extractor tools available for LlamaIndex
When LlamaIndex connects to Public Suffix Extractor through Vinkius, your AI agent gets direct access to every tool listed below — spanning url-parsing, tld-extraction, domain-analysis, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Extract domain on Public Suffix Extractor
The AI cannot reliably determine that the TLD of "app.vinkius.co.uk" is ".co.uk" (not ".uk"). This engine uses the official Mozilla Public Suffix List to fragment hostnames with 100% accuracy. Extracts the true root domain, TLD, subdomain, and SLD from any hostname using the official Mozilla Public Suffix List. Handles complex TLDs like .co.uk, .com.br correctly
Connect Public Suffix Extractor to LlamaIndex via MCP
Follow these steps to wire Public Suffix Extractor into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Public Suffix Extractor MCP Server
LlamaIndex provides unique advantages when paired with Public Suffix Extractor through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Public Suffix Extractor tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Public Suffix Extractor tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Public Suffix Extractor, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Public Suffix Extractor tools were called, what data was returned, and how it influenced the final answer
Public Suffix Extractor + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Public Suffix Extractor MCP Server delivers measurable value.
Hybrid search: combine Public Suffix Extractor real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Public Suffix Extractor to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Public Suffix Extractor for fresh data
Analytical workflows: chain Public Suffix Extractor queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Public Suffix Extractor in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Public Suffix Extractor immediately.
"What is the root domain of app.vinkius.co.uk?"
"Extract the registrable domain from https://shop.example.com.br/products?id=1"
"Is mybucket.s3.amazonaws.com a registrable domain or a cloud subdomain?"
Troubleshooting Public Suffix Extractor MCP Server with LlamaIndex
Common issues when connecting Public Suffix Extractor to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPublic Suffix Extractor + LlamaIndex FAQ
Common questions about integrating Public Suffix Extractor MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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