Model Context Protocol implementation for Tabby
Tabby mcp server connects Tabby to AI assistants that speak the Model Context Protocol. Model Context Protocol implementation for Tabby.
A Tabby Terminal plugin that exposes your active terminal sessions through the Model Context Protocol (MCP). It lets MCP-compatible AI clients discover terminal tabs, execute commands, read terminal buffers, and retrieve long command output.
Once connected, the assistant can call these 4 tools directly:
get_ssh_session_list — List available Tabby terminal sessionsexec_command — Execute a shell command in a terminal tabget_terminal_buffer — Read terminal buffer contentget_command_output — Retrieve full/paginated command outputSetup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
Cloud and DevOps servers put infrastructure on speaking terms with your assistant, so "why is this broken?" is answered from real state rather than a generic checklist. Tabby sits in that group, and the shape of its toolset — get_ssh_session_list, exec_command, get_terminal_buffer among others — tells you what it is really for. Worth comparing against the other cloud devops servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| get_ssh_session_list | List available Tabby terminal sessions |
| exec_command | Execute a shell command in a terminal tab |
| get_terminal_buffer | Read terminal buffer content |
| get_command_output | Retrieve full/paginated command output |
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