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Thales CDSP CRDP MCP Server

MCP Server

Secure AI data protection via CipherTrust

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About

A Model Context Protocol server that enables AI applications to protect and reveal sensitive data using Thales CipherTrust CRDP, supporting individual and bulk operations with versioning and monitoring.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Thales CDSP CRDP MCP Server

The Thales CDSP CRDP MCP server bridges the gap between large language models and enterprise‑grade data protection. It exposes a simple, standards‑based interface that allows an AI assistant to invoke the CipherTrust RestFul Data Protection (CRDP) service for encrypting, decrypting, and auditing sensitive data without exposing the underlying security infrastructure to the model.

At its core, the server translates MCP tool calls into CRDP REST operations. A developer can request that a single value—such as an email address or credit‑card number—be protected according to a policy defined in the CipherTrust Manager, and the server will return a ciphertext that can be safely stored or transmitted. The same mechanism is used for revealing data, with the server ensuring that only callers who possess a valid JWT or username can decrypt protected values.

Key capabilities include:

  • Fine‑grained protection and revelation – Each call can specify a distinct CRDP policy, enabling different security levels for different data types.
  • Bulk processing – Whole batches of values can be protected or revealed in a single request, dramatically reducing round‑trip latency for large datasets.
  • Versioning support – The server respects external, internal, or disabled versioning modes, allowing applications to maintain audit trails and roll back changes when necessary.
  • Health monitoring – Built‑in probes expose metrics and health checks, making it easy to integrate the server into observability pipelines.
  • Transport flexibility – Whether your AI workflow communicates over standard I/O or HTTP, the server can be configured to match the environment.

In practice, this MCP server is invaluable for building privacy‑preserving AI applications. For example, a customer‑support chatbot can ask an LLM to generate responses that include user data; the MCP server protects that data before it leaves the model, ensuring compliance with GDPR or HIPAA. Similarly, an AI‑driven analytics pipeline can ingest raw logs, have the MCP server encrypt sensitive fields on the fly, and store the results in a data lake without exposing secrets to downstream services.

By abstracting away the complexity of CRDP, the Thales CDSP CRDP MCP server lets developers focus on model logic while guaranteeing that every piece of sensitive information is handled according to enterprise policy. This tight integration between AI assistants and a robust data‑protection platform delivers both flexibility for developers and rigorous security for organizations.