herdr-mcp
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- AlicenseNot gradedqualityDmaintenanceEnables goose to control the Herdr terminal workspace manager, allowing AI agents to inspect and manipulate workspaces, tabs, panes, run commands, and manage agent states.3MIT
- AlicenseAqualityBmaintenanceEnables assistants to monitor and control AI coding agents via the herdr CLI, listing agents and reading their output, then optionally starting agents, sending prompts or keystrokes, and managing panes and tabs. Read-only tools are always available while write tools require explicit opt-in, and remote machines can be targeted.8MIT
- AlicenseNot gradedqualityBmaintenanceExposes typed MCP tools for driving herdr terminal fleets, letting an agent list, create, focus, and close workspaces, tabs, and panes, send text or key presses, and run commands locally or over remote machines. It also starts, prompts, waits on, renames, and reads AI agents, returning either raw pane output or a normalized structured transcript.4 npmMIT
- AlicenseBqualityCmaintenanceEnables MCP clients to observe and control a running Herdr session by inspecting panes, agents, layouts, and live lifecycle events, and by prompting agents, waiting for completion, running commands, and managing workspaces, tabs, panes, and worktrees.41MIT
- AlicenseNot gradedqualityDmaintenanceEnables 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.ISC
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to securely spawn, monitor, and control terminal sessions in Herdr, supporting background execution and authenticated access.2MIT
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.