#encryption

Tiny Cryptography MCP Server

anton10xr

Tiny MCP server with cryptography tools, sufficient to establish end-to-end encryption between LLM agents

SchemaPin 🧷

ThirdKeyAI

The SchemaPin protocol for cryptographically signing and verifying AI agent tool schemas to prevent supply-chain attacks.

Bitatlas

bitatlas-group

BitAtlas is a next-generation cloud storage platform designed with privacy and AI agents in mind. It provides a secure, zero-knowledge environment where your most sensitive documents are encrypted client-side and accessible only to you and the agents you authorize.

Serac

AikoGilpin

Sovereign E2EE cloud storage for AI agents. MCP-native, zero-knowledge, RGPD-compliant, hosted in France.

The Interplanetary File System (IPFS) MCP toolkit gives AI Agents and automated workflows the ability to utilize IPFS as a backend storage medium. Upload, retrieve, pin, and manage encrypted files on IPFS via a simple API accessible as MCP tools.

AES-256-GCM + Argon2id encrypted local vault for AI agent credentials. Store API keys, tokens, and passwords safely. Reference them as {{PLACEHOLDER}} in any AI workflow — LangChain, CrewAI, AutoGen, n8n, and 40+ frameworks.

PCI DSS MCP

shyshlakov

PCI DSS v4.0.1 static-analysis MCP server for Go payment service codebases. 12 scanners detect PAN/CVV exposure, weak crypto, missing audit logs, vulnerable deps, TLS misconfig, auth weaknesses, plus CycloneDX 1.6 SBOM generation. Each finding maps to the exact PCI requirement. A

Persistent memory layer for AI agents with entity resolution, PII detection, AES-256-GCM encryption at rest, and hybrid search. Self-hosted. 100% on LoCoMo benchmark. Works with Claude Code, Cursor, VS Code, Windsurf, JetBrains, and more.

Share encrypted, self-destructing secrets directly from Claude, Cursor, or Windsurf. Zero-knowledge E2E encryption. Agent-blind input sources (env:, file:, dotenv:) — secrets never pass through LLM context.

MCP server for Wundervault zero-knowledge secret management. Exposes vault secrets to AI agents via the Model Context Protocol — secrets are decrypted server-side and never returned to the agent in plaintext.

Burn-after-read encrypted notes for AI agents. Share secrets with users without them appearing in chat history — create a one-time URL, send it, they read it once and it's gone. AES-256-GCM E2E encrypted, decryption key never sent to any server.