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Fingerprint

The Fingerprint MCP Server connects Claude directly to Fingerprint's device intelligence platform, enabling fraud analysts, developers, and security teams to investigate suspicious activity and understand traffic patterns more quickly. Fingerprint captures device intelligence signals, including bot detection, VPN usage, browser tampering, and visitor behavior, on your highest-risk pages and actions like login, checkout, and account creation. With this connector, you can query that data conversationally, no dashboards or manual correlation required Try prompts like: - "Show me bot traffic from the last hour." - "Is this signup spike part of a coordinated operation?" - "Who are my most suspicious visitors and why?" - "Help me implement Fingerprint to protect my site." Claude queries your Fingerprint workspace and returns insights in seconds. Developers can also use it to build and integrate Fingerprint into their applications, getting guidance on setup, configuration, and best practices without leaving the conversation. Connect to your Fingerprint account to get started. New to Fingerprint? Sign up for free at fingerprint.com.

View in the Claude registry
Integration type
Connector
Verification status
Community connector
Platform
Claude
Category
Security

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Threat Detection & SIEM/XDR Monitoring

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is visible.

Access
Account required
First tracked
2026-07-13
Tool count
10
Geography
US

Claude Discoverability Score

Live · refreshed daily. Last refreshed

Fingerprint in Threat Detection & SIEM/XDR Monitoring

0/100
Invisible

#6of 7competitors

This is the score for the Integration’s Primary Category, Threat Detection & SIEM/XDR Monitoring. Fingerprint's tools align with this Category, which is why we measure it here. Claude did not find it in connector search, show it in the connector picker, or invoke it in the measured contested Runs. That is why the score is 0.

How this score is measured

What we measure

One core score. Three important factors to discoverability.

  • Picked

    · 0/100
    Sets the score
  • Found

    · 0/100
    Diagnostic
  • Positioned

    · 0/100
    Diagnostic
Primary Subcategory
4 scoredVerified connectors by score · Community connectors A–Z
Primary Subcategory
1Datadog100/100
2Pi Security27/100
3incident.io9/100
4Slack9/100
ExaforceOrganic discovery is pending verificationGet notified when verified
FingerprintOrganic discovery is pending verificationGet notified when verified
LimaCharlieOrganic discovery is pending verificationGet notified when verified
Score explained

What does 0/100 mean?

0 is Fingerprint's rounded picker appearance rate. It appeared in the connector picker, or Claude invoked it directly, in 0% of contested conversations. All three measures are important to discoverability: Picked determines the headline score, Found shows how often Claude found Fingerprint in connector search, and Positioned shows where it appeared in the picker.

InvisibleBuriedEmergingCompetitiveWinning

Fingerprint is 10 points from Buried.

FoundDiagnostic

Whether Claude found your Connector in connector search. It must be Found before it can reach the picker, but the score counts picker appearances—not search results.

PickedMain score

How often your Connector appeared in the picker, or Claude invoked it directly, across contested conversations. This percentage is the Discoverability Score; the headline number is rounded.

PositionedDiagnostic

What position your Connector appeared in when it was shown in the picker. This shows prominence, but it does not affect the score.

Read the full scoring methodologyRecommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.
Tools

10 tools agents can invoke

Fingerprint FAQ
How do I improve a Community connector's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Fingerprint alternatives on Claude?

As of 2026-08-14, Fingerprint competes with Datadog, Pi Security, incident.io, Slack, Exaforce, LimaCharlie in Claude Threat Detection & SIEM/XDR Monitoring, ranked by public Discoverability Score.

Where does Fingerprint rank in Threat Detection & SIEM/XDR Monitoring on Claude?

As of 2026-08-14, Fingerprint ranks #6 of 7 in Claude Threat Detection & SIEM/XDR Monitoring with a Discoverability Score of 0/100 (Invisible).

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.