Bring Ad Fraud Detection
to LangChain
Create your Vinkius account to connect Anura to LangChain and start using all 1 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Provide your Anura Instance ID and Secret Key
- Start validating traffic or analyzing fraud patterns through your AI chat interface.
Who is this for?
- Ad Ops Managers — Quickly verify if a suspicious traffic source is valid.
- Performance Marketers — Monitor fraud rates across different campaigns in real-time.
- Data Analysts — Automate the retrieval of fraud reports for custom internal dashboards.
Built-in capabilities (1)
Check Anura system status
Why LangChain?
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.
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The largest ecosystem of integrations, chains, and agents. combine Anura MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Anura queries for multi-turn workflows
Anura in LangChain
Why run Anura with Vinkius?
The Anura connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 1 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Anura using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Anura and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Anura to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Anura for LangChain
Every request between LangChain and Anura is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
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.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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