Fingerprint announced the launch of Model Context Protocol (MCP) Server, an open source MCP implementation for the anti-fraud space. The new server allows organizations to connect any AI assistant or agent directly to Fingerprint’s device intelligence platform, turning fraud analysis into real-time, AI-powered insights.
Fingerprint MCP Server uses standard open protocols that allow organizations to ingest their own preferred AI assistants, chatbots, or agents directly into their fraud data. This means fraud analysts and developers can use simple text prompts to query device intelligence events, identify patterns, and investigate anomalies without writing code or being tied to a single AI vendor or proprietary environment.
“Fingerprint MCP Server allows organizations to stay ahead of fraudsters in today’s automated web environment,” said Valentin Vasilyev, CTO at Fingerprint. “By adopting open protocols, we give fraud teams the freedom to use the AI tools they already trust, whether it’s custom agents or leading AI assistants like Claude and ChatGPT. Our MCP server turns device intelligence events into actionable insights, allowing analysts to ask questions in plain language and get answers in seconds. It’s a modern way of preventing fraud, built on standards.”
Solving the challenges of AI integration for fraud prevention
The announcement comes as enterprises continue to rapidly adopt AI agents, with Gartner predicting that by 2027, 50% of business decisions will be powered or automated by AI agents. However, many companies struggle to connect these tools to their existing fraud prevention infrastructure without facing vendor lock-in, limiting flexibility, and creating data silos.
The Model Context Protocol has seen explosive adoption across the industry, with downloads increasing from 100,000 in November 2024 to more than 8 million by April 2025. Our implementation of Fingerprinting makes us the first device intelligence platform in the anti-fraud industry to adopt this rapidly emerging standard.
Fingerprint MCP Server transforms device intelligence into an AI-queryable data layer while also enabling AI-powered workspace management and integration. By using open standards, an AI assistant or agent can access and interpret fingerprint device intelligence data in real-time using a fingerprint license. This enables fraud teams to use natural language to investigate fraud and manage their fingerprint environments. for example:
- “Please show me the device associated with this transaction.”
- “Are these login attempts connected?”
- “What patterns exist among these suspicious sessions?”
The AI assistant queries the fingerprint through the MCP server and returns insights immediately. This reduces the investigation cycle from hours to seconds. The main features are:
- Universal compatibility: Works with any AI assistant, chatbot, or agent through open MCP standards and allows integration with third-party tools and systems
- Dual deployment options: Released as both open source software and managed service
- Real-time anomaly detection and investigation insights: Connect directly to production data via APIs and empower your teams to turn fraud spikes into actionable insights in seconds instead of hours.
- Code-free operation: Fraud analysts can use natural language to query and analyze data without requiring significant engineering resources.
- Workspace management features: Enabling AI to configure and manage your fingerprint environment
With 99% of businesses reporting fraud losses due to AI-powered attacks in the past year, the platform enables fraud teams in the fintech, e-commerce, payments, SaaS, and travel and hospitality industries to detect and respond to fraud before it impacts their business.
Streamline development of AI-native anti-fraud workflows
Beyond read-only data access, Fingerprint MCP Server connects AI agents directly to Fingerprint’s management API to configure and manage anti-fraud workflows. Developers can go beyond dashboards and build AI-native workflows directly on top of device intelligence, enabling AI assistants to analyze fraud events, automate investigations, and integrate fingerprints into applications and security tools. Developers can now create:
- Fraud investigation tool using AI
- Automated incident analysis and fraud event monitoring workflow
- Applications built with AI coding platforms such as Claude Code and Cursor
- AI-powered fingerprint workspace management
- Custom fraud detection and response tools powered by fingerprint device intelligence
MCP is a protocol, not a platform, so teams can use their preferred AI assistant. By connecting an AI coding environment directly to MCP servers, developers can move from idea to implementation faster, with AI assisting with both analysis and fraud-aware application development.
Fingerprint MCP Server represents a shift in fraud prevention workflows, replacing manual pattern analysis that can take hours with AI-powered insights delivered in seconds.
