enVector MCP Server

Example Use Cases

• 1

  Perform secure vector searches on encrypted datasets within private or air-gapped networks.

• 2

  Integrate homomorphic encryption-based vector search into AI chatbots accessing secured data.

• 3

  Search encrypted code repositories to assist software development with protected code reuse.

Description

enVector MCP Server implements the Model Context Protocol (MCP) to enable AI applications to securely query encrypted vector data using homomorphic encryption. It facilitates secure data access and vector search in private or air-gapped networks, supporting scenarios like AI chatbots and code assistant tools that require encrypted data retrieval. This server allows seamless integration of secure vector search capabilities into AI workflows while preserving data confidentiality.