Anura MCP. Validate traffic and manage fraud reports instantly
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Anura MCP Server is an ad fraud detection tool. It lets your AI agent check visitor traffic in real-time and manage detailed fraud reports.
Validate IP addresses and User-Agents instantly to protect your ad spend. Use it to monitor campaign health and track fraud trends over time without leaving your workspace.
What your AI agents can do
Get system status
Checks the current operational status of the Anura monitoring service.
Checks if a given IP address and User-Agent string is classified as 'Good', 'Warning', or 'Bad' in real-time.
Retrieves a list of all advertising campaigns and traffic sources currently under fraud monitoring.
Lists, retrieves, and downloads detailed reports containing comprehensive fraud data for deep investigation.
Pulls summarized fraud metrics for a defined time range, helping track overall fraud trends.
Verifies the current operational health status of the Anura monitoring system.
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Supported MCP Clients
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019d754eget system status
Checks the current operational status of the Anura monitoring service.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
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- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Anura, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
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- Every connection is secured and compliant automatically
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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
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.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 1 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Tracking ad fraud used to mean jumping between five different tabs.
Today, finding out if a visitor is fraudulent requires a painful process. You check your ad platform for the click data, then jump to a separate analytics dashboard to check the IP reputation, and then maybe download a separate file from your ad management tool just to see which campaign was running. You spend time copying IP addresses and cross-referencing campaign IDs just to get a simple answer: good or bad.
With the Anura MCP Server, you ask your agent to validate the visitor data. It runs the check and gives you the 'Good,' 'Warning,' or 'Bad' result instantly, right in your chat. You stop clicking and start acting.
Anura MCP Server: Get detailed fraud insights in chat
Previously, getting a full report meant running a job, waiting an hour, and then downloading a massive ZIP file. You had to open the file, find the right columns, and manually calculate the trends or the total waste. It was a tedious, multi-step process.
Now, you ask your agent to get fraud statistics for the last 7 days. It pulls the summarized data, identifying the overall rate and the top sources of fraud, and presents it to you immediately. The process is cut down to a single conversation.
What you can do with this MCP connector
Got fraud eating up your ad budget? This Anura MCP Server lets your AI agent check visitor traffic in real-time and manage detailed fraud reports so you don't lose a dime. You can use it to monitor campaign health and track fraud trends without leaving your workspace.
Your agent can check the current operational status of the Anura monitoring service using get_system_status. It'll also list all advertising campaigns and traffic sources that are currently under fraud monitoring when you run list_monitored_campaigns. When you need to validate visitor traffic, your agent checks a given IP address and User-Agent string instantly, telling you if it's 'Good', 'Warning', or 'Bad'.
To get a clear picture of where the money's going, your agent can pull summarized fraud metrics for a defined time range using analyze_fraud_statistics, which helps track overall fraud trends. You can get detailed reports by listing, retrieving, and downloading full fraud reports for deep investigation using get_fraud_reports.
019d754e-7142-70cb-bf8e-71f40aaf2125 
How Anura MCP Works
- 1 Subscribe to the Anura MCP Server and provide your Anura Instance ID and Secret Key.
- 2 Your AI agent connects to the server using the credentials. The agent then calls the specific tool (e.g.,
validate_visitor) with the necessary parameters (IP, User-Agent). - 3 The server runs the check against Anura.io and returns a simple, actionable result (e.g., 'Good', 'Bad', or the requested statistics/report data) directly to your AI client.
The bottom line is, your AI client executes fraud checks and data pulls directly through the chat, eliminating the need to switch between tools.
Who Is Anura MCP For?
This is for Ad Ops Managers and Performance Marketers. If you spend time clicking between ad platforms and separate analytics tools just to verify a suspicious traffic source, this saves time. Data Analysts use it to automate the retrieval of fraud reports for internal dashboards, letting them focus on insights instead of data gathering.
Quickly verifying if a suspicious traffic source or IP address is valid against known fraud patterns.
Monitoring fraud rates across multiple campaigns in real-time to adjust bids or pause underperforming traffic sources.
Automating the process of pulling detailed fraud reports and statistics for custom dashboard inputs.
What Changes When You Connect
- Real-Time Validation: Check visitor status instantly. You don't wait for reports; you ask your agent to check an IP/User-Agent and get a 'Good,' 'Warning,' or 'Bad' result immediately.
- Deep Report Retrieval: Pull full fraud reports directly into your chat. Instead of downloading and analyzing a CSV, your agent brings the key findings to you for instant review.
- Campaign Visibility: List all monitored campaigns and traffic sources. This lets you quickly pinpoint exactly where fraud is originating, saving time on manual source audits.
- Fraud Trend Tracking: Get summarized fraud statistics for any time range. You track trends over time—like seeing if your overall fraud rate is creeping up week over week—without building custom queries.
- System Assurance: Use the
get_system_statustool to confirm Anura is online and running smoothly before relying on critical ad spend data.
Real-World Use Cases
Stopping a Bad Traffic Source
A Performance Marketer sees a sudden drop in conversion rate. They ask their agent to validate the source's IP and User-Agent. The agent runs the validation and reports: 'Bad.' The marketer instantly knows to pause that source, preventing further ad spend waste.
Quarterly Fraud Audit
A Data Analyst needs to build a dashboard showing fraud rates for the last six months. Instead of manually exporting six CSV files, the analyst asks their agent to analyze fraud statistics for the period, pulling the raw numbers and trends directly into their working context.
New Campaign Setup Check
An Ad Ops Manager is launching a new campaign. They ask their agent to list all active campaigns in Anura. This confirms the new source is properly onboarded and under monitoring before the first dollar is spent.
Troubleshooting Reporting Issues
A marketer can't get a report. They ask the agent to run get_system_status. If the status isn't 'OK,' they know the problem is with the monitoring service itself, not their data or the report request.
The Tradeoffs
Manually cross-referencing logs
A user downloads a raw fraud report, then opens a spreadsheet, then has to manually compare IP ranges to a separate campaign list. This process is slow and error-prone.
→ Use the Anura MCP Server to list monitored campaigns and then use the detailed reporting tools. Your agent pulls the report and cross-references the campaign list in one step, giving you the exact source of the fraud.
Relying on dashboard filters
Filtering a complex dashboard by date range, which might hide critical fraud spikes that occurred during a specific 48-hour window.
→ Ask your agent to analyze fraud statistics for a precise, custom time range. This gives you the raw data points and the trend analysis you need, bypassing dashboard limitations.
Ignoring system status
Assuming the monitoring service is fine because the dashboard hasn't shown an error, only to find out later the service was degraded and reporting bad data.
→
Always start by running get_system_status through your AI client. This confirms the underlying Anura service is actually available and reporting current data before you trust any results.
When It Fits, When It Doesn't
Use this if you need to validate traffic, pull specific fraud reports, or check overall campaign health against known fraud patterns. It's best when you need a single, actionable answer (Is this IP good or bad?).
Don't use this if your goal is deep, raw data storage or complex ETL. If you just need to dump millions of logs into a data warehouse, use a dedicated logging solution. This tool is for immediate, intelligence-driven action, not archival storage. If you only need to see if the service is up, run get_system_status first, but remember it only checks connectivity, not performance degradation.
Common Questions About Anura MCP
How do I use the Anura MCP Server to validate a visitor's IP? +
You ask your agent to validate the visitor data, providing the IP and User-Agent. The agent runs the check and tells you if the traffic is 'Good,' 'Warning,' or 'Bad.' You don't need to know the underlying API calls.
What does get_system_status do in Anura MCP Server? +
The get_system_status tool checks the Anura monitoring service itself. Running this first confirms that the fraud detection engine is currently online and working before you trust any other results.
Can Anura MCP Server list my active ad campaigns? +
Yes, the server has tools to list monitored campaigns. This lets you confirm exactly which ad sources are currently under fraud monitoring.
Is Anura MCP Server just for basic fraud detection? +
No. You can use it to retrieve detailed fraud reports and get summarized fraud statistics for specific time frames, helping you track overall trends and identify patterns.
How do I use the Anura MCP Server to get detailed fraud reports? +
You call the dedicated report retrieval tool to get comprehensive fraud data. This lets you list, retrieve, and download detailed reports for deep analysis, which is crucial for data analysts.
Does the Anura MCP Server provide any data on fraud statistics? +
Yes, you can use the fraud statistics tool to track fraud trends. This gives you summarized statistics for specific time ranges, helping you see how fraud changes over time.
What kind of data does the Anura MCP Server handle for campaign monitoring? +
The server lists monitored campaigns and traffic sources. It shows you exactly where fraud is coming from, allowing performance marketers to pinpoint problem areas.
What do I need to set up and connect the Anura MCP Server? +
You must subscribe to the server and provide your Anura Instance ID and Secret Key. After setup, you can start validating traffic or analyzing fraud patterns directly in your AI chat interface.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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