How to Use the Anura MCP in LangChain

Stop ad fraud in your LangChain pipelines by checking visitor status in real-time.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Anura MCP to LangChain

Create your Vinkius account to connect Anura 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.

GDPR Free for Subscribers

Setup Anura with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time fraud checks for LangChain

Integrate `get_system_status` directly into your LangGraph nodes. Your agents can now verify visitor authenticity before passing traffic to your conversion logic. This MCP server gives your chain the data it needs to drop bad actors instantly. You save compute cycles by filtering out junk traffic at the start of your sequence.

Orchestrate security in your chains

Treat Anura data as just another link in your logic chain. Your agent evaluates the `get_system_status` output to decide if a session warrants further investigation. LangSmith tracing lets you inspect exactly why an agent flagged a visitor. You get full visibility into the decision-making process behind every block.

Automated security responses

Feed the tool output into subsequent nodes to trigger custom rejection workflows. Your LangChain agent handles the full lifecycle from detection to mitigation. Building this into your agent loop avoids manual oversight. The system acts on the fraud reports without waiting for human intervention.

Setup guide

Set up Anura MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
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 LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "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 Anura tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "anura-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 Anura transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Anura. 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.

Connect Anura now

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 Anura MCP in LangChain

You instantiate the server via the MCP adapter and pass the `get_system_status` tool to your agent. This makes the fraud check available as a standard function call within your graph.

Yes, they can. Your agent runs the check, reads the fraud report, and executes a conditional branch to deny access to identified bot traffic.

The current setup focuses on the status check tool. You add it to your agent's tool list alongside your other integrations for a complete security loop.

It is stateless by default. Use the session handler if you need the agent to remember fraud context across multiple steps in a single run.

Vinkius handles the transport over a secure, ephemeral connection. Only the specific visitor metadata required for fraud detection is processed by your LangChain agent.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript