IPQS MCP. Automate risk checks on IP, email, and URLs.
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IPQualityScore (IPQS) MCP Server checks IPs, emails, URLs, and phone numbers for fraud, bots, and suspicious activity. It provides real-time risk scores and validation flags across multiple data types.
Use it to vet user signups, audit suspicious links, or monitor high-risk transactions by detecting malicious actors and automated bots.
What your AI agents can do
Email lookup
Analyzes an email address and returns a fraud risk score and validation flags for new user vetting.
Get account
Retrieves detailed information about your connected IPQS account status and configuration.
Get credits
Checks your current service credit usage and available balance to ensure continued operation.
The agent sends an IP address, and the tool returns a fraud score, proxy detection status, and geographical data.
The agent sends an email address, and the tool returns a risk score and flags indicating if the email is likely fraudulent or non-deliverable.
The agent sends a URL, and the tool returns a risk score and classification of the site's malicious potential.
The agent sends a phone number, and the tool returns risk indicators and line type to confirm the number's legitimacy.
The agent calls get_account to retrieve configuration and details about the connected IPQS account.
The agent calls get_credits to get the current credit usage and balance, ensuring the service stays active.
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IPQualityScore (IPQS) MCP Server: 10 Tools for Risk Management
These tools let your agent analyze IP addresses, email addresses, URLs, and phone numbers, providing actionable risk scores and validation flags for security checks.
019d75bbemail lookup
Analyzes an email address and returns a fraud risk score and validation flags for new user vetting.
019d75bbget account
Retrieves detailed information about your connected IPQS account status and configuration.
019d75bbget credits
Checks your current service credit usage and available balance to ensure continued operation.
019d75bbip lookup
Checks an IP address for fraud risk, proxy/VPN detection, and geographical data.
019d75bblist conversions
Lists tracked conversions, useful for auditing e-commerce and affiliate management data.
019d75bblist fraud
Lists recent fraud event logs, helping with high-level security auditing and threat monitoring.
019d75bblist reports
Lists recent security-triggered fraud reports for detailed auditing.
019d75bblist stats
Provides usage statistics for your account, useful for monitoring integration health and trends.
019d75bbphone lookup
Analyzes a phone number and returns risk indicators and line type for identity verification.
019d75bburl lookup
Checks a URL for malicious activity and returns a risk score and classification.
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
- Create Agent Skills with progressive disclosure
- 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 IPQualityScore (IPQS), 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
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
This server lets your AI client check IPs, emails, URLs, and phone numbers for fraud, bots, and suspicious activity. You can use it to vet user signups, audit suspicious links, or monitor high-risk transactions.
To assess an IP address's risk, the agent calls ip_lookup, which returns a fraud score, proxy detection status, and geographical data. You can validate user emails with email_lookup; this tool gives a risk score and flags showing if the email is fraudulent or non-deliverable. Scan URLs for malware using url_lookup, which returns a risk score and classification of the site's malicious potential.
To confirm a phone number's legitimacy, the agent runs phone_lookup, getting risk indicators and line type.
Beyond vetting specific data points, you can manage the account and audit activity. You'll call get_account to grab detailed configuration and status about your connected IPQS account. You check your service quota using get_credits to make sure the service stays active. For auditing, you can list recent fraud events with list_fraud, and you can see security-triggered fraud reports by calling list_reports.
You can also audit e-commerce and affiliate data by listing tracked conversions with list_conversions. If you need to track usage trends or audit your integration health, the agent gets usage statistics using list_stats. You can list recent fraud logs with list_fraud and review your security reports using list_reports.
How IPQS MCP Works
- 1 Your AI client identifies a data point (IP, email, URL, etc.) needing verification.
- 2 It calls the relevant tool (e.g.,
ip_lookup) via the MCP Server, passing the specific data point as an argument. - 3 The server processes the request and returns a structured JSON object containing the risk score, validation flags, and detection results.
The bottom line is, your agent gets actionable risk data for any critical string—IP, email, or URL—in a single API call, instead of needing multiple services.
Who Is IPQS MCP For?
The developer building the sign-up flow needs this. It’s for the security engineer who needs to stop bots and bad actors before they create an account. It’s for the product manager who can finally stop worrying about fraud reports and build features that actually work. You'll use this when you need to make sure every piece of data entering your system is clean.
Uses list_fraud and list_reports to audit recent security triggers and identify patterns of malicious activity across the platform.
Integrates ip_lookup and email_lookup into sign-up endpoints to automatically reject high-risk users and prevent account creation by bots.
Uses get_credits and list_stats to monitor the integration's health, track usage quotas, and ensure the service remains operational.
What Changes When You Connect
- Stop Fraud at Signup: Use
email_lookupandip_lookuptogether. Instead of waiting for fraud reports, you immediately reject accounts using known malicious IPs or suspicious email patterns. This saves you time and money on cleanup. - Audit Suspicious Links: When a user submits content or a ticket, run
url_lookupon any links they provide. This instantly tells you if the link is associated with malware or a phishing site, blocking bad content before it hits your database. - Monitor Platform Health: Use
list_statsandget_creditsto keep tabs on the integration. You know exactly how much credit you have and how often you're hitting rate limits, making scaling decisions predictable. - Verify Identity: Integrate
phone_lookupinto your user profile flow. You can confirm if a submitted phone number is a standard landline or a high-risk VoIP number, significantly tightening up your user base. - Forensics & Auditing: When an incident happens, don't manually check logs. Call
list_fraudandlist_reportsto get a clean, structured list of all recent security events, speeding up incident response time. - Handle Complex Data: The server handles diverse data types—from raw IP strings to full URLs—using one consistent API pattern. Your agent doesn't need separate logic for each type of check.
Real-World Use Cases
Stopping Bot Signups
A new user attempts to sign up with an IP address known for VPN usage and an email address from a temporary domain. Your agent intercepts the data, runs ip_lookup (detecting the proxy) and email_lookup (flagging the domain). The agent then blocks the signup attempt and notifies the user, solving the bot problem before it starts.
Cleaning User Content
A customer submits a support ticket containing a link to a suspicious external article. The agent intercepts the link, runs url_lookup, and receives a high risk score. The agent then prompts the user to remove the link or flags the ticket for manual review, keeping your platform clean.
Investigating a Fraudulent Transaction
A user's account shows a sudden transaction from a different country. The agent automatically runs ip_lookup on the transaction IP and cross-references it with list_fraud to see if that IP has been associated with other suspicious activity. This provides immediate context to the security team.
Onboarding a High-Value Partner
A new corporate partner needs to be added. The agent runs phone_lookup to verify the main contact number's legitimacy and uses get_account to confirm that the necessary service tiers are enabled for the new relationship.
The Tradeoffs
Building multiple lookup endpoints
Creating separate, disconnected services for IP checking, then another for email, and a third for URLs. This adds latency, requires complex orchestration, and makes debugging a nightmare.
→
Use the IPQS MCP Server. Your agent calls a single endpoint and uses tools like ip_lookup, email_lookup, or url_lookup to get all necessary risk data in one flow.
Only checking the visible data
Assuming an IP is safe just because it resolves to a known location. This ignores proxy detection or if the email domain is newly registered and risky.
→
Always run the full check. For IPs, use ip_lookup to check for proxy detection. For emails, use email_lookup to check the actual risk score, not just basic syntax.
Ignoring account status
Writing code that assumes the service is always available. When credits run out, the entire application crashes, leaving users stranded.
→
Before running critical tools, always check get_credits. This prevents runtime errors and lets your agent gracefully handle quota limits.
When It Fits, When It Doesn't
Use this server if your primary concern is data integrity and risk assessment across multiple, disparate data types (IPs, emails, URLs, phone numbers). You need a single source of truth for fraud and bot detection. If you only need to check a simple database field for existence, or if your risk logic is entirely contained within your existing system, you don't need this. If you're dealing with complex data validation (e.g., checking a URL's syntax AND its malicious content), this is the right tool. Never use this just because it's easy; use it because your current process is failing due to unknown fraud vectors.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IPQualityScore. 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 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Dealing with sketchy data inputs shouldn't require a dozen checks.
Today, when a user submits a form, you often have to build a complicated validation chain. You check the IP via one API, then the email via a second service, and if there's a link, you send it to a third scanner. This requires writing boilerplate code for every single check, and if any one API fails, your whole signup process breaks.
With the IPQS MCP Server, your agent handles it all. You pass the IP, email, and URL to the server, and the necessary tools—`ip_lookup`, `email_lookup`, and `url_lookup`—run in sequence. You get a single, clean response that tells you the risk level across all three vectors. It's faster, simpler, and much more reliable.
IPQualityScore (IPQS) MCP Server: Verify risk with a single call.
Before, if you needed to audit a security incident, you'd have to manually pull logs from the database, cross-reference user IPs with a separate threat intelligence feed, and then check the associated URLs in a third tool. It's a painful, multi-system audit.
Now, your agent can trigger `list_fraud` and `list_reports`. It gathers all the required security data—the IPs, the URLs, the events—and presents it in one unified context. The complexity is gone. You just get the answer.
Common Questions About IPQS MCP
How do I use the `ip_lookup` tool with the IPQS MCP Server? +
You pass the IP address as a string argument to ip_lookup. The tool returns a structured object containing the fraud score, proxy detection status, and geo-location data. This lets your agent make immediate decisions on the user's risk level.
Can the `email_lookup` tool detect fake user accounts? +
Yes. The email_lookup tool analyzes an email for fraud and deliverability, returning a risk score. This helps your agent vet new registrations and prevents fraudulent accounts from being created.
What is the best way to check suspicious links using `url_lookup`? +
Pass the full URL to url_lookup. It provides a risk score and classification, letting you know if the site is malicious. This is key for auditing content submitted by users.
Do I need to worry about running out of credits using `get_credits`? +
No. Always check get_credits first. This tool returns your current credit usage and balance, allowing your agent to fail gracefully and prompt the user to purchase more credits before making expensive calls.
How does `list_fraud` help with security auditing? +
The list_fraud tool gives you a log of recent fraud events. It's essential for security teams who need to quickly audit what suspicious activity has happened on the platform.
How do I check my service usage and plan status with the `get_account` tool? +
The get_account tool retrieves your current IPQS account details. You can use this to verify your plan status and check your overall configuration without needing to consult documentation.
What kind of data does `phone_lookup` provide for identity verification? +
phone_lookup returns the line type and a fraud risk indicator. This helps you verify identities and preempt fraud before a user signs up or completes a transaction.
Can I review historical security events using `list_fraud` and `list_reports`? +
Yes, list_fraud provides a list of recent fraud event logs, and list_reports lists recent security triggers. These tools are essential for high-level security auditing and threat monitoring.
How do I get IPQS API credentials? +
Log in to your IPQS account and navigate to Account Settings to find your Private API Key.
Which lookups are supported? +
This MCP supports real-time lookups for IP addresses, email addresses, URLs, and phone numbers.
Can I see my credit balance? +
Yes, the get_credits tool provides details about your remaining credits and usage statistics.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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