Zionfhe MCP Server Test

Overview

The Zionfhe MCP Server Test is a specialized Model Context Protocol (MCP) server that leverages the cutting‑edge ZIONFHE homomorphic encryption framework. By exposing encrypted computation as an MCP endpoint, it allows AI assistants such as Claude to perform sensitive data processing without ever exposing raw inputs. This solves the critical problem of privacy‑preserving inference: developers can integrate powerful AI workflows while keeping user data confidential and compliant with regulations like GDPR or HIPAA.

At its core, the server runs on a standard HTTP port (default 8000) and listens for MCP requests in Server‑Sent Events (SSE) mode. When a client sends an encrypted payload, the server decrypts it internally using the ZIONFHE key pair, performs the requested operation—such as mathematical transformations or model inference—and streams back the result in real time. This seamless streaming capability is essential for conversational agents that need low‑latency responses, making the server a natural fit for chatbots, virtual assistants, and real‑time data analysis pipelines.

Key features include:

• Secure computation: All operations are executed on ciphertext, ensuring that the server never sees plaintext data.
• SSE integration: Native support for Server‑Sent Events enables continuous, event‑driven communication between the AI client and the server.
• Configurable API key: Authentication is handled via an environment variable, keeping credentials out of the codebase.
• Modular design: The server can be extended with additional tools or resources, aligning with the MCP architecture for plug‑and‑play extensibility.

Typical use cases involve industries where data sensitivity is paramount: healthcare analytics, financial forecasting, or any scenario requiring on‑premise inference without exposing private records. By embedding this server into an AI workflow, developers can chain encrypted data ingestion, preprocessing, and model inference while maintaining end‑to‑end privacy guarantees. The result is a robust, compliant solution that bridges advanced AI capabilities with stringent security requirements.