Secure Embedding MCP Server

A Model Context Protocol (MCP) implementation for secure text embeddings with privacy-preserving features using the Mirror SDK.

Overview

The Secure Embedding MCP Server provides a robust interface for processing text data with various security levels while generating embeddings for semantic search and analysis. It leverages the Mirror SDK to provide advanced security features including:

• Format-preserving encryption (FPE) for sensitive entities
• Vector encryption for secure embeddings
• Role-based access control (RBAC) for fine-grained security policies
• Entity detection for PII and sensitive information

Features

• Unified Text Processing: Single entry point for various text operations with appropriate security measures

• Multiple Operation Modes:

• embed: Generate text embeddings

• secure: Apply security measures to text and embeddings

• analyze: Detect and analyze sensitive information

• mask: Anonymize sensitive entities

• auto: Automatically determine the appropriate operation

• Configurable Security Levels:

• none: No security measures

• low: Basic vector encryption

• medium: Entity encryption with FPE

• high: Full encryption with RBAC

• auto: Automatically determine security level based on content

• Natural Language Interface: Process requests in natural language

• Batch Processing: Handle multiple texts efficiently

• Semantic Search: Search across documents using embeddings

Prerequisites

• Python 3.10+
• Mirror SDK
• LangChain with Hugging Face integration
• MCP Server framework
• Claude Desktop (for integration)

Mirror Platform Setup

1. Registration

1. Visit the Mirror Platform
2. Click on "Sign Up" or "Register"
3. Fill in your details and create an account
4. Verify your email address

2. Getting Your API Keys

1. Log in to your Mirror Platform account
2. Navigate to the "API Keys" section in your dashboard
3. Click "Generate New Key"
4. Save both the API Key and Secret securely
5. These keys will be used in your environment variables or configuration file

3. Additional Capabilities

This implementation demonstrates a subset of Mirror's capabilities. For full enterprise features including:

• Advanced encryption algorithms
• Custom security policies
• Enterprise-grade RBAC
• Advanced entity detection
• Custom model integration
• Dedicated support

Please contact our team at hello@mirrorsecurity.io or https://mirrorsecurity.io/

4. Reference Documentation

• Mirror Platform Documentation
• Mirror SDK Guide
• API Reference
• VectaX Intigrations

Development Environment Setup

Install uv

uv is a fast Python package installer and resolver that we'll use for our environment setup.

Available MCP Servers:

Screenshot1

Screenshot2

MacOS/Linux

curl -LsSf https://astral.sh/uv/install.sh | sh

Windows

# Using PowerShell
irm https://astral.sh/uv/install.ps1 | iex

Make sure to restart your terminal afterwards to ensure that the uv command gets picked up.

Installation

Automatic Installation (Recommended)

We provide two automatic installation scripts for different operating systems:

Windows

Run the following command in PowerShell or Command Prompt:

.\setup_claude_config.bat

This script will:

• Install uv if not present
• Set up the virtual environment
• Install required dependencies
• C

... View full README on GitHub