DataDome MCP. Audit bot traffic and protected endpoints via chat.
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DataDome. Monitor your web and mobile apps for automated threats and fraud. This MCP Server lets your AI agent pull real-time bot traffic stats, audit endpoint health, and list specific recent security incidents directly from the DataDome API.
It's built for security engineers who need to triage high-severity threats fast.
What your AI agents can do
Get bot traffic summary
Gets a summary of bot traffic, separating 'Good Bots' from 'Bad Bots' and noting their impact on total traffic.
Get endpoint health
Checks the health status, latency, and error rate of a specific protected endpoint.
Get protection stats
Retrieves real-time protection statistics, including blocked requests and captcha pass rates.
Gets a summary of bot traffic, separating 'Good Bots' (like search engines) from 'Bad Bots' (like scrapers) and noting their impact on total traffic.
Returns latency metrics, error rates, and the current operational status for a specific protected endpoint.
Gets live counts of allowed vs. blocked requests, captcha pass rates, and identifies bot categories.
Resolves technical details—including headers and behavioral patterns—for a specific threat ID.
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DataDome MCP Server: 10 Tools for Bot Traffic & Security Audits
Use these 10 tools to monitor bot traffic, check endpoint health, and retrieve protection statistics using your AI agent.
019d7581get bot traffic summary
Gets a summary of bot traffic, separating 'Good Bots' from 'Bad Bots' and noting their impact on total traffic.
019d7581get endpoint health
Checks the health status, latency, and error rate of a specific protected endpoint.
019d7581get protection stats
Retrieves real-time protection statistics, including blocked requests and captcha pass rates.
019d7581get threat details
Gets full technical details for a specific threat ID, including headers and behavioral patterns.
019d7581list access logs
Streams recent requests processed by DataDome, showing bot scores, decision outcomes, and geo-location data.
019d7581list custom bot rules
Lists all custom bot detection rules, including match criteria and whether they allow or block traffic.
019d7581list protected applications
Lists all applications (web or mobile) integrated with DataDome and the protection types enabled.
019d7581list protected endpoints
Lists all endpoints protected by DataDome, including their URLs and current protection status.
019d7581list recent threats
Lists recent security incidents, including threat types, origin IPs, and detection timestamps.
019d7581search threats by type
Searches recent incidents to isolate specific attack vectors, like 'scraper' or 'crawler'.
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 DataDome, 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 MCP Server lets your AI client pull real-time security data from DataDome. You'll use the get_bot_traffic_summary tool to separate 'Good Bots' from 'Bad Bots' and see how much each group affects your total traffic. You can check endpoint health, latency, and error rates for a specific protected endpoint using get_endpoint_health.
To get a live count of allowed versus blocked requests, captcha pass rates, and bot categories, run get_protection_stats. Need the deep technical scoop on a threat? get_threat_details gives you full headers and behavioral patterns for any specific threat ID. To see what's been happening lately, list_access_logs streams recent requests, showing bot scores, decision outcomes, and where the request came from geographically.
You can check out every custom bot detection rule with list_custom_bot_rules, seeing the match criteria and if the rule allows or blocks traffic. You'll get a list of all applications integrated with DataDome and what protection types are turned on using list_protected_applications. To audit your endpoints, list_protected_endpoints shows every endpoint protected by DataDome, including the URL and its current protection status.
If you need to know about recent bad guys, list_recent_threats lists security incidents, including threat types, origin IPs, and when they were detected. You can narrow down those incidents by running search_threats_by_type to isolate specific attack vectors, like 'scraper' or 'crawler'. Finally, you can get a summary of all endpoints protected by DataDome using list_protected_endpoints.
How DataDome MCP Works
- 1 Connect the DataDome integration to your AI client.
- 2 Authorize the connection using your DataDome Management API Key.
- 3 Instruct your agent to perform a security check (e.g., 'Show me recent bot threats').
The bottom line is: you manage your bot protection strategy by talking to your AI client, not by navigating a web dashboard.
Who Is DataDome MCP For?
Security Engineers and SREs. You're the ops engineer who can't afford to wait for the incident report. You need to quickly check threat logs, verify endpoint protection status, and gather structured data on recent bot activity—all without leaving the terminal.
Checks threat logs and verifies endpoint protection status immediately after an alert, gathering forensic data for incident reports.
Monitors application health and bot traffic trends via chat to preemptively identify scaling issues or unusual traffic spikes.
Gathers structured data on recent bot activities and threat types, using the data for regulatory reporting and pattern analysis.
What Changes When You Connect
- Check the full scope of protection with
list_protected_applicationsandlist_protected_endpoints. You instantly see every web and mobile asset under DataDome's watch. - Triage threats immediately. Instead of reading through massive logs, use
list_recent_threatsand thenget_threat_detailsto pull the full technical context on a specific bot attack. - Monitor system stability with
get_endpoint_health. You get real-time latency and error rates for any critical endpoint, allowing you to catch performance dips before users complain. - Get a clear picture of bot activity using
get_bot_traffic_summary. This separates good search engine traffic from bad scraping bots, giving you usable metrics right away. - Understand how traffic is being managed by checking
list_access_logs. This stream gives you bot scores, decisions, and geo-location data for every recent request. - Verify your defenses by listing all custom rules (
list_custom_bot_rules). You confirm exactly what the system is configured to allow or block.
Real-World Use Cases
A bot suddenly spikes on a key endpoint.
A security engineer notices a traffic spike. They ask their agent to run list_recent_threats to get an overview. Then, they use get_threat_details on the top threat ID to see the specific request headers and behavioral patterns that triggered the block. This confirms if it's a credential stuffing attempt or a simple crawler.
Need to audit all protected web and mobile assets.
A DevOps team member needs to ensure all new microservices are covered. They run list_protected_applications first, then use list_protected_endpoints to verify every URL is accounted for. This gives them a complete, structured inventory of the entire protected surface area.
Investigating a persistent scraping campaign.
A fraud analyst suspects scraping. They run get_bot_traffic_summary to confirm the ratio of 'Bad Bots.' Then, they use search_threats_by_type to filter for 'scraper' activities. Finally, they use list_access_logs to pull the specific IP addresses and geo-location data needed for a report.
Checking if a new rule is working as expected.
A security team member wants to test a new block rule. They first run list_custom_bot_rules to see the existing ruleset. They then check get_protection_stats to see the real-time count of blocked requests, verifying that the new rule is actively contributing to the defense.
The Tradeoffs
Manual log review
Sifting through raw logs in a GUI dashboard, looking for keywords like 'bot' or 'suspicious' across thousands of entries. This is slow, misses correlation, and is impossible to scale.
→
Use the agent to call list_recent_threats to get a structured summary, then use search_threats_by_type to filter the incident list down to only 'scraper' events. This immediately gives you the core data points you need.
Checking endpoints one by one
Manually navigating to each endpoint URL in the admin panel to check its status. This is tedious and guarantees you'll miss one or two.
→
Call list_protected_endpoints to get a full list of every endpoint URL. Then, use get_endpoint_health for each one, compiling a single report of all status codes and latency metrics.
Assuming the bot type
Seeing an anomaly and guessing if it's a search engine or a scraper. You might miss the distinction needed for mitigation.
→
First, run get_bot_traffic_summary to categorize the traffic. Then, if you find a specific incident, use get_threat_details to get the full behavioral profile, confirming the exact nature of the threat.
When It Fits, When It Doesn't
Use this if you need to rapidly establish the scope of a security breach, analyze bot behavior, or audit API health. You need to know what was hit, how it was hit, and if the system is performing correctly under load. Don't use this if you're just looking for a single, simple metric, like total daily logins—use a dedicated analytics tool instead. If your primary need is to update user credentials or change API keys, this tool won't help; you'll need a separate identity management service. This MCP Server is for observation and forensic data gathering.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DataDome. 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
Sifting through raw traffic logs to find the source of a breach is a nightmare.
Today, finding a single suspicious request involves clicking through multiple dashboards: the access log tab, the threat feed, and the endpoint status page. You copy IP ranges into a spreadsheet, cross-reference them with threat intelligence feeds, and manually correlate timestamps to piece together a timeline. It's a full day of clicking and copy-pasting just to build a picture.
With the DataDome MCP Server, you just ask your agent: 'What are the recent bot threats?' The agent executes `list_recent_threats` and compiles the list. If you want the deep details, you call `get_threat_details` on the threat ID, and you get the full technical breakdown instantly. You build the timeline in conversation, not in a spreadsheet.
DataDome MCP Server: See bot traffic and endpoint status instantly.
Manual checks require you to visit the application dashboard, check the 'Traffic' tab for a summary, then visit the 'Endpoints' section to check health, and finally open the 'Logs' for raw data. This sequence of tabs and pages wastes time and makes it easy to skip steps.
Now, you run `get_bot_traffic_summary` to get the high-level metrics. If you need to drill down, you use `get_protection_stats` for real-time counts. The data flows directly into your chat window, making the entire audit process faster and more traceable.
Common Questions About DataDome MCP
How do I find out what types of bots are hitting my site using get_bot_traffic_summary? +
The get_bot_traffic_summary tool returns a breakdown of bot traffic, specifically separating 'Good Bots' (like search engines) from 'Bad Bots' (like scrapers). It shows the impact of each category on your total traffic volume.
What does get_endpoint_health tell me about my web application? +
The get_endpoint_health tool checks the operational status of a specific protected endpoint. It returns crucial metrics like current latency and error rates to ensure the endpoint is running correctly.
Can I list all the endpoints protected by DataDome using list_protected_endpoints? +
Yes. list_protected_endpoints returns metadata for every endpoint URL you have integrated with DataDome, along with its current protection status and associated application ID.
How do I find evidence of a specific attack type using search_threats_by_type? +
You use search_threats_by_type to match a threat type keyword (e.g., 'scraper') against recent incidents. This filters out general noise and isolates specific attack vectors you need to investigate.
How do I check the real-time protection stats using get_protection_stats? +
The get_protection_stats tool provides a live count of requests—specifically allowed vs. blocked requests, captcha pass rates, and which bot categories were identified.
How do I list all the custom bot rules configured for my application using list_custom_bot_rules? +
This tool returns a list of all custom rules, detailing their match criteria (IP, User-Agent, etc.), action (allow/block/captcha), and rule priority. You can quickly audit your bot protection strategy by reviewing which rules are active and how they're configured.
What information can I get about a single threat using get_threat_details? +
It resolves detailed request headers, behavioral patterns, and the specific detection logic that triggered the threat. This gives you the full technical context needed to understand exactly how a specific bot was identified.
How do I see a stream of recent requests processed by DataDome using list_access_logs? +
This tool returns a stream of recent requests, including bot scores, decision outcomes, and geo-location data. You get a comprehensive view of traffic activity, making it easier to track user behavior and potential incidents over time.
How do I get a DataDome Management API Key? +
Log in to your DataDome dashboard, navigate to Management > API Keys, and generate a new key. Ensure you use the management key for this integration.
Can the agent update bot rules? +
This integration currently focuses on listing and auditing rules and threats. Updating or creating new bot rules should be handled through the DataDome dashboard.
What types of threats are tracked? +
DataDome tracks various automated threats including scrapers, crawlers, account takeover attempts, and credential stuffing activities.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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