AgentDock
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- AlicenseNot gradedqualityAmaintenanceEnables ChatGPT to inspect and edit local projects through a secure MCP interface, offering workspace management, file operations, git integration, and safe command execution.5MIT
- AlicenseAqualityCmaintenanceEnables ChatGPT Developer Mode to operate as a local coding agent by connecting to your own repository through MCP, allowing it to read, write, search, edit files, run safe verification commands, and manage handoff context for continued work.15313 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables ChatGPT and other MCP clients to browse, search, edit and upload files, run commands and interactive terminals, inspect Git history and worktrees, dispatch coding agents, and install composable plugins within locally registered workspaces. Requests execute under the user's own machine with per-request approval or auto-approval, keeping files, tasks and results local unless explicitly returned.1MIT
- AlicenseNot gradedqualityAmaintenanceEnables ChatGPT to operate authorized local projects through MCP, including reading and modifying code, viewing Git changes, running configured programs, and reading local Codex sessions to continue work.02MIT
- AlicenseNot gradedqualityBmaintenanceEnables ChatGPT to read and edit local project files, inspect Git changes, and run approved development scripts through a secure MCP tunnel, with optional Codex Desktop integration.177 npm2Apache 2.0
- AlicenseNot gradedqualityBmaintenanceRemote MCP coding bridge that gives ChatGPT/Codex secure local workspace access, including file retrieval, semantic code intelligence, Git, diagnostics, and guarded shell execution.20 npmMIT
TDQS
Scored across 22 tools
Most tools target distinct operations—workspace management, file read/write/edit, image inspection, and change review—with descriptions that explicitly separate them. The main sources of ambiguity are the generic local-workspace-bridge wrapper, which can call other tools indirectly, and the write/edit/apply_patch cluster, though their intended use cases are clarified.
The vast majority of tools follow a clear verb_noun snake_case pattern like open_workspace, read_image, and show_changes. The hyphenated local-workspace-bridge and the single-word bash/tree are noticeable outliers, but they are isolated deviations rather than a systematic mixing of conventions.
22 tools is on the heavy side and exceeds the typical 3–15 tool sweet spot. The count is somewhat justified by the broad scope—workspace lifecycles, file editing, image handling, diagnostics, and verification—but it still feels like more surface area than necessary.
The toolset covers workspace open/list/close/default management, file tree/search/read/write/edit/apply_patch, image inspection and cropping, bash verification, change summarization, skills, and self-test/config. Obvious gaps like an explicit delete/rename tool or git commit are absent, but apply_patch can handle file deletion and the remaining gaps are workable.