Identity verification firm iDenfy has launched a Model Context Protocol (MCP) server that connects its compliance documentation to AI coding assistants, allowing developers to generate KYC, KYB, and AML integration code through natural language rather than navigating static reference pages.
The server works with Claude, ChatGPT, Gemini, Cursor, and Perplexity. Developers can query API field names, retrieve endpoint specifications, and generate working code for identity verification and sanctions screening workflows without switching context or searching through lengthy documentation.
“Developers don’t want to read 50 pages of documentation to find out the name of one field,” said iDenfy CEO Domantas Ciulde. “The assistant reads our real docs, so the code it writes uses our real API.”
The server is read-only and limited to iDenfy’s public documentation. It does not access developer dashboards, API keys, or customer data, and it does not execute API calls on a developer’s behalf. No installation is required, and access is free for all developers.
iDenfy supports more than 3,000 document types from over 200 countries, combined with AI-powered biometric face matching and 3D liveness detection. The company serves more than 1,000 customers and holds ISO/IEC 27001:2022 certification and SOC 2 Type II accreditation.
MCP was introduced by Anthropic in late 2024 as a standard interface for connecting AI assistants to external tools and data sources. Adoption has expanded quickly across developer tooling, and several compliance and identity vendors have begun exposing their documentation and APIs through MCP servers to make their platforms easier to integrate with AI-assisted development environments.
The distinction between a documentation MCP server and a tool-calling one is significant for regulated customers. iDenfy’s implementation cannot act on a user’s behalf, trigger verification flows, or access live data. The read-only constraint means the server can be adopted without changes to existing access controls or compliance posture, which the company says was a deliberate design choice for KYC and AML environments where audit trails and data minimization requirements limit how external tools can interact with production systems.
iDenfy has been expanding its developer documentation and self-serve tools as part of a broader push into markets where integration speed is a competitive differentiator for compliance vendors.
Sources: iDenfy
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By the ID Tech Editorial Team
