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herdr-mcp

by frysquint
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    • herdr-mcp

      thomasfossum
      A
      license
      B
      quality
      B
      maintenance
      Enables MCP clients to remotely control a running Herdr session: see agent status, arrange tabs and panes, start and prompt coding agents, and run worktree-isolated jobs over stdio or Streamable HTTP. Includes policy controls such as allowlists, read-only mode, disabled tools, and an audit log.
      32
      2
      MIT

    • herdr-mcp

      aelaguiz
      F
      license
      A
      quality
      B
      maintenance
      Enables coding agents to control and inspect a running Herdr terminal session, including listing workspaces, tabs, panes, and agents, reading pane output, prompting agents, sending keys and commands, waiting for output or state, and splitting or closing panes.
      14
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    • cowbell

      WSHAPER
      A
      license
      Not graded
      quality
      B
      maintenance
      Exposes 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.
      20 npm
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    • herdmcp

      joelbqz
      A
      license
      Not graded
      quality
      C
      maintenance
      Lets MCP clients such as Claude Code, Cursor, and Claude.ai inspect and drive herdr workspaces, panes, and coding agents over a local socket, running either as a local stdio process or as an OAuth-protected HTTP endpoint published through a Cloudflare Tunnel. It exposes tools to create workspaces and tabs, split panes, start and prompt agents, read their output, and wait for results.
      MIT
    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    B3.3/5.0

    Scored across 41 tools

    Disambiguation4/5

    The set is strongly segmented by resource prefix (workspace_, tab_, pane_, agent_, events_, worktree_), and repeated actions such as list/get/create/close target explicit resources. The closest overlaps are pane_read vs agent_read and pane_send_keys vs agent_send_keys, plus the several input tools, but descriptions make the intended conditions clear.

    Naming Consistency5/5

    All names use snake_case with a resource/domain prefix, and nearly all are resource_action forms like workspace_list, pane_read, and agent_prompt. Exceptions such as herdr_status, session_snapshot, and events_status are readable status/snapshot nouns and do not break the overall convention.

    Tool Count2/5

    41 tools is heavy for any single MCP server; even though the terminal/workspace/agent domain is broad, many fine-grained pane/agent input, read, and wait variants could be consolidated or parameterized. The count exceeds the reasonable 3-15 range and sits in the 'too many' band.

    Completeness4/5

    Core lifecycle is covered: workspaces, tabs, and panes can be created, listed, renamed, focused, and closed; agents can be started, prompted, waited on, and read; events and worktrees have support. Gaps remain for pane_focus/resize, agent_stop, tab_get, and worktree_remove, though terminal access and close operations provide workarounds.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources