Geetest MCP. Validate CAPTCHA and assess bot risk via conversation.
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Geetest MCP Server: This tool lets your AI agent manage bot protection directly. It validates CAPTCHAs, assesses user risk based on behavior, and tracks attack patterns via API calls.
You can configure policies, view blocked IP lists, and monitor validation statistics, all without touching a dashboard. It’s your bot shield, built into the chat.
What your AI agents can do
Get blocked ips
Retrieves a list of IP addresses currently blocked by the CAPTCHA system, useful for tracking attack sources.
Get captcha config
Fetches the current CAPTCHA configuration and settings for troubleshooting frontend integration.
Get validation stats
Gets detailed statistics on CAPTCHA attempts, showing total passes, blocks, and overall activity patterns.
The agent verifies if a user-submitted CAPTCHA token is valid using validate_captcha.
The agent evaluates a user's behavior and IP patterns to determine a risk level, going beyond simple CAPTCHA success using validate_with_risk.
The agent changes the core CAPTCHA rules, risk thresholds, or IP whitelists by calling set_policy.
The agent pulls a list of IP addresses that the CAPTCHA system has automatically blocked using get_blocked_ips.
The agent retrieves aggregated statistics on CAPTCHA attempts, passes, and blocks using get_validation_stats.
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Supported MCP Clients
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Geetest MCP Server: 6 Tools for Bot Detection
These tools give your agent deep access to Geetest's security APIs, letting it validate tokens, check risk scores, and manage policies entirely via chat.
019d843eget blocked ips
Retrieves a list of IP addresses currently blocked by the CAPTCHA system, useful for tracking attack sources.
019d843eget captcha config
Fetches the current CAPTCHA configuration and settings for troubleshooting frontend integration.
019d843eget validation stats
Gets detailed statistics on CAPTCHA attempts, showing total passes, blocks, and overall activity patterns.
019d843eset policy
Configures CAPTCHA policy settings, which changes take effect immediately for bot protection.
019d843evalidate captcha
Checks a user's CAPTCHA response using frontend tokens and returns pass/fail status and risk details.
019d843evalidate with risk
Performs a deeper check combining CAPTCHA results with behavioral data to score the user's risk.
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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- Built in DLP, auth, and compliance on every call
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Make Your AI Do More
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- Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector
This Geetest MCP Server lets your AI agent manage bot protection directly. You'll use the validate_captcha tool to check if a user's CAPTCHA token is valid. For a deeper look, the agent runs validate_with_risk, which combines the CAPTCHA result with the user's behavior and IP patterns to give you a risk score.
You can adjust the core CAPTCHA rules, risk thresholds, or IP whitelists by calling set_policy. To track who's hitting your service, the agent pulls a list of IP addresses that the CAPTCHA system has automatically blocked using get_blocked_ips. You can get a full breakdown of CAPTCHA attempts, passes, and blocks by running get_validation_stats.
You'll also fetch the current CAPTCHA configuration and settings for troubleshooting frontend integration by calling get_captcha_config.
How Geetest MCP Works
- 1 Subscribe to the server and provide your Geetest Captcha ID and Private Key.
- 2 Direct your AI client to call a specific tool, like
validate_captcha, passing the required frontend tokens and time data. - 3 The server executes the API call, receives the validation result and risk assessment, and passes that structured data back to your agent.
The bottom line is: you manage bot defense and security configuration through conversational tool calls.
Who Is Geetest MCP For?
This is for security and platform engineers. Specifically, the team that gets tired of manually cross-referencing logs, dashboards, and developer reports to find out why their forms are getting spammed. If your core business logic depends on clean, verifiable user input, you need this. It moves bot defense from a monitoring chore to an actionable, automated part of your system.
Uses get_blocked_ips and get_validation_stats to investigate attack sources, track patterns, and prove the effectiveness of current anti-bot measures.
Calls validate_captcha and validate_with_risk in backend logic to ensure user input passes validation before creating a record or allowing a transaction.
Uses get_captcha_config and set_policy to test how changes to validation modes or risk thresholds impact user signup rates and false positive counts.
What Changes When You Connect
- Real-time Risk Scoring: Don't just check the CAPTCHA box. Use
validate_with_riskto analyze user behavior patterns alongside the CAPTCHA result, giving you a much better chance of catching sophisticated bots. - Audit Blocked Traffic: Need to know who's attacking?
get_blocked_ipspulls a clean list of IP addresses that failed repeatedly, letting you investigate the source of the abuse. - Monitor Attack Trends: Stop guessing if your security is working.
get_validation_statsgives you measurable data on total attempts, pass rates, and blocked counts, so you can prove your bot defense effectiveness. - Fine-Tune Security: When a false positive happens, don't panic. Use
set_policyto adjust validation modes or risk thresholds directly through your agent, making changes instantly. - Triage Configuration: When a frontend widget breaks, don't dig through docs.
get_captcha_configimmediately shows the current CAPTCHA settings so you can verify the integration is correct. - Layered Defense: The combination of
validate_captchaandvalidate_with_riskcreates a multi-stage defense. You first validate the token, then you run the risk check for deep behavioral insights.
Real-World Use Cases
Onboarding a New Feature
A developer needs to protect a new signup form. They ask their agent to run get_captcha_config first to verify the current setup. Then, they use set_policy to raise the risk threshold for the new endpoint. Finally, they test the flow by calling validate_captcha with a test token, ensuring the protection works before deployment.
Investigating a Spike in Abuse
The security team sees a sudden spike in failed signups. They ask the agent to run get_validation_stats to quantify the problem. They then call get_blocked_ips to see if the system has already flagged the source IPs, and finally use validate_with_risk on suspicious traffic to confirm bot activity.
Fixing False Positives
A legitimate user reports being blocked. The Product Manager instructs the agent to check the policy using get_captcha_config. After confirming the settings are too strict, they use set_policy to slightly relax the rule for that specific user group, restoring good UX without opening up the system.
Backend Authorization Check
The backend service needs to authorize a critical action. Instead of relying on simple tokens, the service asks the agent to run validate_with_risk, passing the user's session data. The agent returns a quantifiable risk score, allowing the service to decide if the action is permitted.
The Tradeoffs
Only checking the CAPTCHA box
Relying only on validate_captcha assumes the bot is dumb. This fails when sophisticated bots mimic human behavior and pass the basic token check.
→
Always run validate_with_risk after validate_captcha. This combines the token check with behavioral analysis, which is necessary for detecting advanced, low-and-slow attacks.
Treating security as a one-time setup
Setting up the CAPTCHA once and forgetting about it. When traffic patterns change (e.g., a viral marketing push), the initial policy fails to protect the system.
→
Periodically check and update policies using get_validation_stats and then adjust rules with set_policy to match current traffic loads and threat vectors.
Ignoring blocked IPs
Just knowing that validation failed is not enough. You need to know who failed. Without checking get_blocked_ips, you can't provide actionable threat intelligence.
→
When It Fits, When It Doesn't
Use this server if your core business logic requires verifiable, high-assurance user input, and if bot spam or account abuse is a major pain point. The toolset is ideal for systems where you need layered defense: first, checking the basics (validate_captcha), then scoring the behavior (validate_with_risk), and finally, managing the rules (set_policy).
Don't use this if your primary need is simple rate limiting or basic bot detection. For those, a simpler, dedicated rate-limiting API might suffice. This tool is overkill—but necessary—if you need to manage the entire lifecycle of bot defense, from monitoring raw stats (get_validation_stats) to proactively banning bad actors (get_blocked_ips).
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 server provides 6 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Spam filters and CAPTCHA management used to be a mess of dashboards.
Today, managing anti-bot measures means jumping between the CAPTCHA dashboard, the logs, and the metrics page. You check the total failure count, then you dig into the IP block list to find a suspicious range, and if you want to change a rule, you have to navigate a separate policy console. It's manual, slow, and you always miss something.
With the Geetest MCP Server, you just ask your agent. You tell it to check the stats or block IPs, and it runs the tools. You get the raw data and the actionable answer instantly, without opening a browser tab or clicking a single button.
Using the Geetest MCP Server: Validate CAPTCHA and assess bot risk via conversation
Previously, validating a user meant calling one endpoint. If that endpoint was bypassed, or if the bot was too smart, you were blind. You had to manually correlate the CAPTCHA result with user activity logs to determine if the user was actually human.
Now, your agent calls `validate_with_risk`. It doesn't just see if the token passed; it evaluates the user's behavior against the current policy, giving you a definitive, risk-scored answer in one shot. That's the difference.
Common Questions About Geetest MCP
How do I use the `validate_captcha` tool? +
You call validate_captcha and provide the required lot_number, captcha_output, pass_token, and gen_time from the frontend. It returns a pass/fail status and initial risk assessment data.
Can I change the security rules using `set_policy`? +
Yes, you use set_policy to configure the CAPTCHA policy. Remember that any changes you make take effect immediately, so test thoroughly.
What is the difference between `validate_captcha` and `validate_with_risk`? +
validate_captcha only checks the token completion. validate_with_risk does more; it analyzes user behavior patterns alongside the token result for a more accurate bot detection score.
How do I check for suspicious IPs? +
Use get_blocked_ips. This tool retrieves the list of IP addresses that the CAPTCHA system has automatically flagged and blocked due to repeated failures.
How do I check the current CAPTCHA setup using `get_captcha_config`? +
It gets the current CAPTCHA configuration and settings. You use this to verify your frontend integration or troubleshoot display issues.
Where can I see historical block data with `get_blocked_ips`? +
It provides a list of IPs blocked by the CAPTCHA system. This helps you monitor attack sources and investigate false positives.
What statistics can I pull using `get_validation_stats`? +
It gives you detailed CAPTCHA validation statistics. You can monitor overall bot attack patterns and the effectiveness of your protection.
When should I use `validate_with_risk` instead of `validate_captcha`? +
Use validate_with_risk when you need more accurate bot detection. It analyzes user behavior patterns alongside the standard CAPTCHA result.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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