A Model Context Protocol server that exposes personal data tools for Spotify listening history, movie ratings, and GitHub repos, enabling natural language queries from MCP clients.
A single MCP server that gives Claude, ChatGPT, Codex, and any MCP-compatible AI access to the same personal context via two tools: context_get and context_log.
A demonstration Model Context Protocol server that includes a web-based interface for managing persistent configurations. It provides foundational tools for greeting, echoing input, and retrieving or updating server settings through MCP.
An MCP server that provides tools for privacy-oriented context API including encrypted fact storage, commitment-based proofs, and semantic search, enabling users, AI agents, and back-office systems to securely manage and prove personal facts without exposing raw data.
A demonstration server showing MCP implementation in Python with resource handling, tool operations, and reusable prompts for a simple user/post system with local database.