Enables MCP-compatible AI clients to invoke CLI-driven agent tools over Streamable HTTP, including shell execution, file operations, patching, image viewing, web search, and nested agent tasks, with permission modes and real-time progress streaming.
Gives MCP-compatible AI clients a controlled bridge to local files, processes, search, and document utilities, including reading/writing and moving files, text block editing, directory listing, content search, starting and managing terminal processes, and PDF/Excel/DOCX/image handling. It serves these tools over MCP Streamable HTTP at a configurable endpoint, with optional Bearer-token authentication and read-only or restricted-directory modes for safer remote exposure.
Enables AI chat clients to securely access and manage local files, run terminal commands, work with Git repositories, and read AGENTS.md instructions and skills via a stateless Streamable HTTP MCP server.
This MCP server gives an AI coding host controlled, client-agnostic access to a local machine's developer capabilities: transactional file edits, shell and PTY execution, Git and project inspection, language-server operations, isolated browser automation, Windows UI automation, VS Code state, durable jobs, and checkpoints, all bounded by filesystem root allowlisting and resource admission controls. It speaks standard MCP over stdio, Streamable HTTP, and legacy HTTP+SSE, and can also run headless as a long-lived job runner without any hosted model vendor.
Enables remote Linux operations over Streamable HTTP, allowing MCP clients to read/write files, run shell jobs, keep disk memory, and activate operator-authored TypeScript tools, with operator confirmation for every tool call.
