Geetest MCP for AI. Stop Bots. Manage Security Policies via Chat.
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Geetest MCP is an API wrapper for advanced anti-bot CAPTCHA protection (v4). It lets your agent validate user tokens, assess risk based on IP and behavior patterns, and manage site policies entirely through natural conversation.
You can monitor detailed validation statistics, view blocked IPs, and configure security thresholds without ever leaving your chat interface.
What your AI can do
Get blocked ips
Retrieves a list of IP addresses that the CAPTCHA system has blocked due to suspicious activity or failures.
Get captcha config
Fetches the current settings and configuration details for the CAPTCHA widget, useful for debugging frontend setup.
Get validation stats
Gathers key metrics on CAPTCHA usage, showing total attempts and pass/fail rates to identify attack patterns.
Submit a user-provided token and let the system confirm if the CAPTCHA passed validation.
Run a deeper analysis that combines the CAPTCHA result with observed user behavior to score potential bot activity.
Change validation modes, set risk thresholds, or update IP whitelists without touching any configuration files.
Retrieve a list of IP addresses that the system automatically flagged and blocked due to repeated failure attempts.
Get usage metrics, including total attempts, passed counts, and identified attack patterns over time.
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Geetest: 6 Bot Detection Tools
Use these six tools to manage every aspect of bot protection, from viewing blocked IPs to setting global security policies.
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 Geetest on VinkiusGet Blocked Ips
Retrieves a list of IP addresses that the CAPTCHA system has blocked due to suspicious activity or failures.
Get Captcha Config
Fetches the current settings and configuration details for the CAPTCHA widget...
Get Validation Stats
Gathers key metrics on CAPTCHA usage, showing total attempts and pass/fail rates to...
Set Policy
Allows immediate configuration changes, such as adjusting risk thresholds or setting...
Validate Captcha
Checks a user's CAPTCHA submission using required tokens to confirm basic human...
Validate With Risk
Performs the most accurate check by analyzing both the CAPTCHA result and detailed user behavior patterns for bot signs.
Security and governance baked right in.
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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 Geetest 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 Geetest, 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 Geetest. 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
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 connection provides 6 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Monitoring bot traffic is usually a messy mess of dashboards and raw logs.
Today, figuring out if your site is under attack means jumping between the CAPTCHA provider's dashboard, your main application logs, and often an obscure security monitoring tool. You spend time copying IP addresses from one screen to another, checking different failure counts manually, just to get a single picture of how badly you're being attacked.
With this MCP, that whole process shrinks into conversation. Instead of reading through endless lines of server logs or clicking across three separate dashboards, you ask your agent for the statistics (get_validation_stats), and it delivers actionable data on bot attack patterns instantly.
Control security policy with Geetest MCP
Previously, changing a validation mode or adjusting the risk score meant filing a ticket, waiting for an engineer to manually adjust the backend settings, and hoping they didn't overlook something. That was slow, risky, and required multiple people.
Now, you use set_policy through your agent. You tell it exactly what change is needed—like 'Increase the minimum risk score for all submissions'—and the policy updates instantly. It gives you immediate control without needing a DevOps ticket.
What your AI can actually do with this
Stop manually checking logs or juggling multiple dashboards just to know if a bot hit your form. This MCP lets you run Geetest's powerful anti-bot checks right through your AI agent. You can validate user tokens immediately after submission, but it goes deeper than that: the system evaluates the user’s entire behavior pattern and IP history for risk.
Need to adjust how strict the CAPTCHA is? You can modify policies on the fly. The whole process—from checking if a token passed to tracking down suspicious IPs and viewing statistical trends—is handled via conversation, which means you never have to leave your workflow. If you're looking for enterprise security tools connected to AI agents, Vinkius hosts this MCP alongside thousands of others so you can connect everything in one place.
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Here's how it actually works
The bottom line is that instead of calling an API endpoint directly, your agent performs complex security operations through simple natural language requests.
Subscribe to this MCP and input your unique Geetest Captcha ID and Private Key.
Tell your agent the task: for example, 'Check if user XYZ is safe.'
The system runs checks—like validating the token or running a risk assessment—and gives you a clear pass/fail status.
Who is this actually for?
Security Operations personnel who spend too much time sifting through logs. Developers building front-end forms who need instant back-end validation checks. Product Managers who track conversion funnel drop-offs due to bot traffic.
Monitors attack patterns and uses get_blocked_ips or get_validation_stats to prove where and how the system is failing.
Integrates instant, policy-driven CAPTCHA validation into a user flow by calling validate_captcha whenever a form submits.
Tracks the overall health of the application's defenses by checking get_captcha_config and reviewing pass/block ratios to justify security spend.
What Changes When You Connect
Better visibility into attacks: Use get_validation_stats to see exactly when and how bot traffic spikes, allowing you to pinpoint weaknesses in your forms.
Tighter security without downtime: Run validate_with_risk for a deep behavioral check. This is much stronger than basic CAPTCHA validation and minimizes false positives on legitimate users.
Immediate policy control: Need the system to be stricter right now? Use set_policy to change risk thresholds or whitelists instantly, all through your agent chat.
Audit blocked activity: Quickly check get_blocked_ips when suspicious behavior is reported. You don't have to dig through server logs for IP details anymore.
Easy setup verification: Run get_captcha_config anytime to confirm that the frontend widget settings match what you expect, saving hours of dev time.
See it in action
The form conversion rate dropped sharply after launch.
A Product Manager asks their agent: 'Check get_validation_stats for the last 24 hours.' The agent reports a massive spike in failed attempts, pointing to an obvious bot attack. They then use validate_with_risk on sample tokens to confirm the risk level and advise changing policies using set_policy.
A competitor found an IP range that bypasses basic CAPTCHA.
The Security Engineer runs get_blocked_ips, seeing a pattern of failed attempts coming from a specific subnet. They then use set_policy to block the entire range and run validate_captcha on a test token to ensure the patch didn't break legitimate traffic.
The development team needs to debug a frontend integration issue.
A developer uses get_captcha_config first. When that looks correct, they use validate_captcha with specific lot and pass tokens to confirm the basic communication flow between the client widget and the server is working.
Need to restrict access after a major security incident.
The Security Engineer uses set_policy to temporarily increase the required risk score for all forms. They then monitor get_validation_stats immediately afterward, ensuring that only truly high-risk activity is being flagged.
The honest tradeoffs
Relying on basic checks alone
The developer assumes calling validate_captcha is enough because it's the easiest tool to use. This only verifies token completion, not actual human intent or behavior.
Always run both validate_captcha and then follow up with validate_with_risk. Running both tells you if the CAPTCHA passed and if user behavior matched a normal person.
Ignoring policy changes
The team manually fixes one vulnerability but forgets to update their detection methods, leaving the system vulnerable to slight variations in attack patterns.
After any manual fix or incident response, use set_policy to formally adjust risk thresholds. This makes sure the new rules are applied consistently across all traffic.
Confusing logs with action
A user sees an IP blocked in a dashboard and assumes the system is broken or overly aggressive, leading them to ignore warnings.
Use get_blocked_ips not just as a list, but as an investigative tool. Check the failure count associated with each block to determine if it was malicious or due to user error.
When It Fits, When It Doesn't
Use this MCP if your primary pain point is bot traffic on web forms and you need centralized control over validation rules. You should use it when you need to compare basic token completion (validate_captcha) against behavioral analysis (validate_with_risk), or when you must dynamically adjust security thresholds using set_policy.
Don't just rely on this if your problem is general API monitoring, like tracking which endpoint was hit. For that, you need a separate logging tool. Also, don't use it if you only want to check the front-end widget setup—use get_captcha_config for that specific task.
Questions you might have
How do I check if my CAPTCHA integration is set up correctly using get_captcha_config? +
Use get_captcha_config to retrieve the current live settings for your widget. This confirms that the parameters shown in the MCP match what your frontend developers intended, saving you time debugging mismatched keys.
Is validate_with_risk better than validate_captcha? +
Yes. While validate_captcha only checks if a user completed the visual puzzle, validate_with_risk also analyzes behavior patterns and IP history for signs of automation, making it significantly more reliable.
What if I need to change my bot detection rules quickly? +
Use set_policy. This tool allows you to modify critical security settings—like risk thresholds or whitelists—immediately through your agent conversation, without needing a code deployment.
Can I check which IPs were blocked by the system? +
Yes, run get_blocked_ips. This tool provides a clean list of every IP address flagged and blocked by Geetest, helping you investigate attack sources or false positives.
What does the output from get_validation_stats tell me about overall bot attack patterns? +
The statistics break down total attempts versus passed or blocked counts. This allows you to monitor if your block rate is abnormal, helping security teams identify potential shifts in attack frequency.
When I call set_policy, how quickly do those changes take effect for my users? +
The policy updates are immediate. When the API confirms a change, it means the new validation modes and risk thresholds apply right away; there's no waiting period or redeployment needed.
If my frontend sends incomplete parameters, how does validate_captcha handle the error? +
The tool expects specific inputs like lot number, pass token, and generation time. If you send missing or malformed data, the API returns an explicit failure code detailing exactly which required parameter is causing the issue.
For validate_with_risk, what specific behavioral pattern data does the API need to analyze user behavior effectively? +
This validation requires context beyond simple tokens. You must provide detailed information on the user's IP and interaction history, letting the system build a comprehensive profile of their activity.
How do I get my Geetest Captcha ID and Private Key? +
Sign up at Geetest Console, create a new CAPTCHA project, and find your Captcha ID and Private Key in the project settings.
What's the difference between validate_captcha and validate_with_risk? +
validate_captcha checks only the CAPTCHA completion. validate_with_risk also analyzes the user's IP address and behavior patterns for more accurate bot detection.
How does Geetest detect bots? +
Geetest v4 uses behavioral analysis, mouse movement patterns, touch events, and environmental fingerprints to distinguish humans from automated scripts — without requiring users to solve puzzles.
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