What information is needed to validate a visitor?

At a minimum, you need the visitor's IP address and User-Agent string. Providing additional info like source or campaign IDs helps Anura provide more contextual fraud detection.

How do I access the fraud reports?

You can use the `get_report_list` tool to see all available reports. Then, use `get_report_details` for a summary or `download_report` to get a link to the full data file.

What do 'Good', 'Warning', and 'Bad' mean in Anura?

'Good' means the visitor is likely human. 'Bad' indicates clear fraud (GIVT/SIVT). 'Warning' means the visitor shows suspicious traits and requires closer monitoring or additional validation.

Anura MCP Server for LangChain 1 tools — connect in under 2 minutes

Name: Anura
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 1 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Anura through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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({
        "anura": {
            "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 Anura, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Anura MCP Server

Protect your advertising spend with the Anura MCP Server. This integration allows your AI agent to interact directly with Anura.io's advanced fraud detection engine. Validate visitor traffic in real-time, monitor campaign health, and retrieve detailed fraud reports without leaving your workspace.

LangChain's ecosystem of 500+ components combines seamlessly with Anura 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.

What you can do

Real-Time Validation — Check if a visitor (IP + User-Agent) is 'Good', 'Warning', or 'Bad' instantly.
Campaign Monitoring — List monitored campaigns and traffic sources to identify where fraud is coming from.
Detailed Reporting — List, retrieve, and download comprehensive fraud reports for deep analysis.
Fraud Statistics — Get summarized statistics for specific time ranges to track fraud trends over time.
System Health — Check Anura's current system status to ensure reliable monitoring.

The Anura MCP Server exposes 1 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Anura to LangChain via MCP

Follow these steps to integrate the Anura MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 1 tools from Anura via MCP

Why Use LangChain with the Anura MCP Server

LangChain provides unique advantages when paired with Anura through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Anura 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 Anura queries for multi-turn workflows

Anura + LangChain Use Cases

Practical scenarios where LangChain combined with the Anura MCP Server delivers measurable value.

RAG with live data: combine Anura tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Anura, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Anura tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Anura tool call, measure latency, and optimize your agent's performance

Anura MCP Tools for LangChain (1)

These 1 tools become available when you connect Anura to LangChain via MCP:

get_system_status

Check Anura system status

Example Prompts for Anura in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Anura immediately.

"Validate visitor with IP 1.2.3.4 and User-Agent 'Mozilla/5.0...'"

"Show me the fraud statistics for the last 7 days."

"List my active campaigns in Anura."

Troubleshooting Anura MCP Server with LangChain

Common issues when connecting Anura to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Anura + LangChain FAQ

Common questions about integrating Anura MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.