herdr-mcp
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- AlicenseNot gradedqualityCmaintenanceEnables goose to control the Herdr terminal workspace manager, allowing AI agents to inspect and manipulate workspaces, tabs, panes, run commands, and manage agent states.1MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to orchestrate Herdr coding agents by wrapping its Unix-socket JSON-RPC API, providing tools for agent management, layout editing, and terminal interaction.-
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to programmatically control interactive terminal applications through HT sessions, supporting session management, key sending, snapshots, and command execution.1MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to spawn persistent terminal sessions, send keystrokes, read screen state, and assert output, allowing them to interact with stateful terminal applications like vim, htop, and gdb.5 npmMIT
- FlicenseAqualityDmaintenanceEnables AI agents to spawn, interact with, and orchestrate multiple concurrent terminal sessions via tmux.9-
- AlicenseAqualityDmaintenanceEnables AI assistants to manage local tmux sessions, including creating and controlling sessions, windows, and panes, sending commands, and capturing terminal output.166 npmDo What The F*ck You Want To Public
TDQS
Scored across 14 tools
Most tools have clearly distinct resource/action pairs (list_panes, list_agents, split_pane, close_pane, wait_agent, wait_for_output). The main ambiguity is among send_text, send_keys, run_command, and prompt_agent, since all deliver input to a pane; the descriptions largely clarify them, but an agent could still misselect send_text vs run_command or prompt_agent when composing an action.
Almost every tool follows a clear verb_noun pattern: list_*, get_agent, prompt_agent, wait_agent, send_text, send_keys, run_command, split_pane, close_pane. The plural/singular list_* vs get_ is conventional and predictable, and there are no mixed casing or random names.
14 tools is a well-scoped number for a terminal/agent-orchestration server. Each tool covers a meaningful operation without excessive redundancy or an overwhelming surface.
The surface covers orientation, reading output, sending input and keys, running commands, waiting for output/agent state, splitting panes, and closing panes—so core workflows are solid. The main gap is that there is no explicit way to create a new workspace or tab, only split an existing pane, which limits some session-management scenarios.