Public Suffix Extractor MCP Server for LangChainGive LangChain instant access to 1 tools to Extract Domain
LangChain is the leading Python framework for composable LLM applications. Connect Public Suffix Extractor through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The Public Suffix Extractor MCP Server for LangChain 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
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"public-suffix-extractor": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Public Suffix Extractor, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Public Suffix Extractor through native MCP adapters. Connect 1 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain
When LangChain 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 LangChain via MCP
Follow these steps to wire Public Suffix Extractor into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Public Suffix Extractor MCP Server
LangChain provides unique advantages when paired with Public Suffix Extractor through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Public Suffix Extractor MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Public Suffix Extractor queries for multi-turn workflows
Public Suffix Extractor + LangChain Use Cases
Practical scenarios where LangChain combined with the Public Suffix Extractor MCP Server delivers measurable value.
RAG with live data: combine Public Suffix Extractor tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Public Suffix Extractor, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Public Suffix Extractor tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Public Suffix Extractor tool call, measure latency, and optimize your agent's performance
Example Prompts for Public Suffix Extractor in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Public Suffix Extractor to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersPublic Suffix Extractor + LangChain FAQ
Common questions about integrating Public Suffix Extractor MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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