A single-file MCP server that turns any folder into a workspace for AI agents, enabling file operations, code search, shell commands, background jobs, HTTP testing, headless browsing, PDF extraction, and screen capture.
A Model Context Protocol server that enables AI agents to interact with Google Workspace services including Drive, Docs, and Sheets through natural language commands.
Turns local project directories into persistent MCP workspaces, allowing AI agents to read files, modify code, run commands, manage Git, and save session progress across conversations.
A robust, generic Model Context Protocol (MCP) Server that integrates AI agents with Google Workspace, enabling them to interact with Gmail and Google Docs.
MCP server that lets AI assistants securely operate on local workspaces, including guarded binary and image artifact downloads/uploads on Windows and Linux.
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.
