OOPSpam MCP for AI. Stop spam and bot submissions in the chat.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
How this MCP server connects to your AI agent
OOPSpam connects your AI client to an anti-spam API that protects forms and comments. It lets your agent check text, emails, or IPs for spam scores, block bad actors, and track usage—all without you opening a separate moderation dashboard.
What AI agents can do with OOPSpam Automation
Add blocked ip
Adds an IP address to your block list, preventing any traffic from that source.
Check bulk
Runs a single check against a list of multiple submissions or entries for spam risk.
Check email
Checks an email address to determine if it is disposable, fake, or has high spam potential.
Your agent checks any submitted text (like comments or form entries) and returns a detailed spam score, telling you exactly why it flagged.
You provide an IP address, and the server tells you if it's associated with bot activity, Tor nodes, or known threats.
The agent checks an email format to see if it belongs to a disposable provider or has a high probability of being spam.
If the AI confirms a bad IP, you use this tool to programmatically add it to your block list, stopping further abuse.
The agent lets you view past spam reports or submit new ones by simply describing what's wrong in the chat.
Ask an AI about this
Waiting for input…
What AI agents can do with OOPSpam: 12 Tools for Spam Detection
These tools let your AI client perform everything from checking a single comment to blocking an entire range of malicious IPs.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using OOPSpam on VinkiusAdd Blocked Ip
Adds an IP address to your block list, preventing any traffic from that source.
Check Bulk
Runs a single check against a list of multiple submissions or entries for spam risk.
Check Email
Checks an email address to determine if it is disposable, fake, or has high spam...
Check Ip
Analyzes a single IP address for known threats, blocklist status, and association...
Check Spam
Checks a piece of text content, like a comment or form submission, for immediate...
Check Oopspam Status
Verifies that your connection to the OOPSpam service is active and working correctly.
Get Analytics
Retrieves detailed reports on overall platform usage and historical spam trends.
Get Daily Stats
Gets a snapshot of the anti-spam activity that happened in the last 24 hours.
Get Stats
Fetches your account's current usage statistics and remaining credits.
List Blocked Ips
Shows you a list of all the IP addresses that are currently blocked by your system.
List Reports
Retrieves records of previously submitted spam reports for manual review and pattern...
Submit Report
Programmatically sends a new report about suspicious content or activity to improve your detection model.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The OOPSpam integration is available immediately — no restart needed.
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 OOPSpam, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ 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
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by OOPSpam. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Built on the Model Context Protocol (MCP) for 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 connection provides 12 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Moderation dashboards are clunky and force context switching., Solved with Vinkius AI Gateway
Right now, if you find spam, your workflow looks like this: You copy the comment text. Paste it into Tool A to get a score. Then, you grab the IP address from the profile and paste that into Tool B to check reputation. After all that data is gathered manually, you have to decide whether or not to block them in Dashboard C.
With OOPSpam MCP Server, your agent handles the whole chain in one go. You ask: 'Check this content for spam and run a full IP audit.' It pulls the score from `check_spam`, verifies the source with `check_ip`, and hands you actionable data—no tabs open, no copy-pasting.
OOPSpam MCP Server: Stop manually listing spam reports.
Currently, when a major spam incident happens, your team has to go into the moderation dashboard and individually review every reported item. You might miss patterns because you're too focused on clearing the queue.
Now, simply ask your agent to run `list_reports`. It pulls the history of submissions for you. This lets your AI client spot trends—like a sudden spike in reports concerning one specific topic—that a manual review would easily overlook.
What your AI can actually do with this
You connect this server to your AI client, and it gives you total control over spam moderation without forcing you into some clunky dashboard. Your agent handles everything—from checking text content to blocking bad IPs—all right within the chat window. It's a dedicated security analyst for your platform.
Content Spam Scoring. You can run check_spam on any piece of submitted text, like a comment or a form entry. This gives you a detailed spam score and tells you exactly why it flagged. If you got a big batch of submissions to look at, you can use check_bulk to run the same risk assessment across multiple entries at once.
IP Address Reputation. Need to know if an IP is clean? Use check_ip. It analyzes a single address for known threats, checks its blocklist status, and tells you if it's tied up with bot activity. You can verify your connection first by running check_oopspam_status to make sure the service is online.
Email Validation. When someone drops an email address, don't trust it blindly. Run check_email. It tells you if that format belongs to a disposable provider or if it has high spam potential. You get instant feedback on its legitimacy.
Blocking and Reporting Abuse. If your agent confirms a bad IP, use add_blocked_ip right away; this programmatically adds the address to your block list, stopping any future traffic from that source. You can view every blocked address ever using list_blocked_ips. For suspicious content, you don't have time for manual workarounds—you just use submit_report to send a new report about what's wrong and help improve the system’s detection model.
Want to see if someone else has reported something similar? You can pull up old records using list_reports.
Monitoring Usage and Trends. To keep tabs on how much abuse you're seeing, your agent pulls stats for you. Use get_daily_stats for a quick snapshot of all the anti-spam activity that went down in the last 24 hours. For a deeper dive into platform health over time, run get_analytics. That fetches detailed reports on overall usage and historical spam trends.
You can also check your account's current budget status and remaining credits with get_stats.
It's all about making sure bad actors get stopped fast, without you having to jump between different moderation tools.
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Here's how it actually works
The bottom line is: you use a simple conversation with your AI client, and it runs complex security checks against the OOPSpam service.
Subscribe to this server on Vinkius and grab your unique OOPSpam API Key from the dashboard.
Enter that API Key into your AI client settings. Now, your agent can talk to the spam filtering service.
Ask anything about content moderation—'Check this comment for spam,' or 'What IPs should I block?'—and get actionable data back.
Who is this actually for?
This is for system admins or community managers who are sick of manually checking moderation dashboards. If you spend time copying spam links into Google to check them, this saves your butt. It gives your AI client a real security muscle.
Needs quick access to the spam score for user-generated content without leaving their chat window.
Automates threat intelligence gathering by running check_ip and aggregating usage data using get_analytics.
Integrates real-time anti-spam checks into a workflow, ensuring that forms or signups are protected before the data hits production.
What Changes When You Connect
Block bad actors immediately. If your agent runs check_ip and finds a threat, you can follow up with add_blocked_ip to stop it right then. No dashboard switching needed.
Get full usage visibility. Use get_stats or get_analytics to see how much spam activity happened last month vs. this week. You track the trends, not just the current score.
Analyze varied inputs. It doesn't just check text. You can run check_email on an address or check_bulk on a list of comments—it handles multiple data types.
Improve your filters over time. When you find novel spam, use submit_report via the chat to feed that intelligence back into the system's detection logic.
Manage everything in one place. Your AI client becomes the security console. Instead of opening 5 tabs (content, IPs, reports, usage), it runs all those checks from a single conversation.
See it in action
Reviewing a suspicious comment batch
A community manager notices 30 new comments that look spammy. They ask their agent to run check_bulk on the whole list. The agent returns individual spam scores for each entry, allowing the manager to approve or block them in bulk without manual copy-pasting.
Handling a suspicious form submission
A developer sees a sign-up form filled out with an IP address. They ask their agent to run check_ip on the provided address. The result shows it's linked to a known Tor node, so they follow up by running add_blocked_ip immediately.
Investigating bot activity
A security analyst receives an alert about unusual traffic. They ask the agent to run get_analytics and look at historical data. This helps them spot a trend—like a spike in email submissions from disposable domains, which they then check using check_email.
Responding to recurring spam issues
After manually reviewing several reports via the chat interface (using list_reports), the agent helps identify that a specific pattern of phishing content keeps slipping through. The analyst then uses submit_report with this new context, hardening the system.
The honest tradeoffs
Checking tools one-by-one
Manually running 'Check Spam' on a comment, then opening another tab to check the IP address from the profile, and finally writing down the score.
Keep it in the chat. Ask your agent: 'Analyze this content for spam risk (using check_spam) and also verify the user's IP reputation (using check_ip).' It runs both checks sequentially and gives you one combined answer.
Ignoring usage limits
Using a tool repeatedly without checking your account status, leading to an API error because you exceeded the daily quota.
Before running heavy checks, ask for get_stats. This confirms your remaining credits and ensures your workflow doesn't break halfway through.
Assuming IP reputation is enough
Only blocking an IP address based on a single check without analyzing the content that came from it.
Always correlate. Use check_spam first to determine what was said, then use check_ip to see if the source is suspicious. This gives you both 'why' and 'who'.
When It Fits, When It Doesn't
Use this server if your core problem is content moderation or threat intelligence validation for public-facing inputs (comments, forms, signups). You need a single point of access to check spam scores (check_spam), IP reputation (check_ip), and email validity (check_email). Don't use it if you just need simple logging. If your goal is merely to record that something was suspicious, stick with basic database tools. But if you need the intelligence—the score, the blocklist match, the threat level—you need OOPSpam. It’s a full moderation stack in chat format.
Questions you might have
How do I check if an IP address is spam using the `check_ip` tool? +
You provide the agent with the IP address. The server returns a threat score, telling you if it's linked to bot activity or major blocklists. It’s fast and gives specific reasons why it flagged.
What is the difference between `check_spam` and `check_bulk`? +
check_spam analyzes a single piece of text, giving you one score. check_bulk takes a list (like 10 comments) and runs the spam check on all of them in one go.
Can I use OOPSpam to block IPs directly? +
Yes, if your agent confirms an IP is bad using check_ip, you can follow up with add_blocked_ip right away. This makes the mitigation part of your workflow immediate.
How do I get usage data for my anti-spam account? +
Run the get_stats tool. It gives you a current view of your usage, which is critical before running any major batch checks like check_bulk.
When should I use the `check_email` tool? +
Use check_email when you need to assess if an email address is spam or disposable. It provides a specific spam score and flags if the domain is known to be temporary.
What's the first step I take when connecting with `check_oopspam_status`? +
You run check_oopspam_status immediately after setup. This confirms your API key works and that the connection to OOPSpam is active before you use any other tools.
How do I view my moderation history using `list_reports`? +
list_reports returns a record of all spam reports submitted through the server. This lets you review historical content and track which reports were successful.
What data does `get_daily_stats` provide compared to general stats? +
get_daily_stats gives you usage metrics broken down by specific dates, letting you see day-to-day trends. General stats show overall cumulative totals.
Can my AI automatically find the spam score for a specific message text? +
Yes! Use the check_spam tool. Provide the text content, and your agent will respond with a Spam Score (0-6) and technical detection reasons in seconds.
How do I find my OOPSpam API Key? +
Log in to your OOPSpam dashboard at oopspam.com, and you will find your unique secret API key displayed in the top right corner of the main page.
What does a Spam Score of 3 or higher mean? +
A score of 3 or higher generally indicates a high probability that the content is spam. OOPSpam recommends flagging or rejecting content with these scores.
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