A secure, Dockerized MCP server enabling AI assistants to perform file and directory CRUD operations like read, write, edit, search, and manage local files via natural language.
Provides a file-first personal memory layer for AI agents, enabling them to store and retrieve memories as markdown files with an SQLite index. The MCP server offers read-only search by default, with optional write tools for manual memory addition and conflict resolution.
A token-efficient, schema-aware MCP server that enables AI assistants to safely read, modify, query, and validate JSON, YAML, and TOML files with automatic schema detection and format conversion capabilities.
A local-first MCP server that provides AI agents with safe codebase access through file discovery, hybrid lexical-semantic search, and project introspection. It features durable local memory and semantic indexing while keeping all data and processing entirely on your local machine.
MCP server that enables AI to read, search, and edit local files securely without external data exposure, using local LLMs via Ollama and integrating with Open WebUI or Claude Desktop.