How to Use the HTML XSS Sanitizer MCP in LangChain
Protect your database from injection attacks right inside your LangChain MCP pipelines.
Works with every AI agent you already use
…and any MCP-compatible client
Connect HTML XSS Sanitizer MCP to LangChain
Create your Vinkius account to connect HTML XSS Sanitizer to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Chain HTML Cleaning Before Database Insertion
LangChain agents use `sanitizeHtml_html` to intercept raw user input before it hits your database. The agent takes the raw payload, strips out malicious scripts, and passes the safe HTML down the line. You keep the formatting you need without the injection risks.
Trace Sanitization Steps in LangSmith
When your LangChain ReAct agent calls `sanitizeHtml_html`, LangSmith logs the exact input and output. Security operations need visibility. You see exactly which tags the tool stripped out. If a user complains their formatting broke, you have the trace data to figure out why.
Secure Your LangChain MCP Server Workflows
The `sanitizeHtml_html` tool acts as a reliable checkpoint for data moving between external APIs and your internal systems. Building multi-tool agents means data moves quickly. Your agent evaluates the HTML, scrubs the dangerous attributes, and only then proceeds to interact with your other connected services.
Set up HTML XSS Sanitizer MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"transport": "http"pointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create a ReAct agent
Pass the discovered tools to
create_react_agent()from LangGraph. The agent automatically routes HTML XSS Sanitizer tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
async with MultiServerMCPClient({
"html-xss-sanitizer-mcp": {
"transport": "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,
)
result = await agent.ainvoke({
"messages": "List recent HTML XSS Sanitizer transactions"
})
print(result["messages"][-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Sanitize HTML. 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
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about HTML XSS Sanitizer MCP in LangChain
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the HTML XSS Sanitizer MCP today
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