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Glama

Related Servers

Alternatives to Agent Loom

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables ChatGPT to securely control remote development servers over OAuth-protected MCP, exposing workspace-bounded tools for file editing, command execution, Git operations, and running Codex or GitHub Copilot subagents.
      8 npm
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Centralized multi-project state & handoff MCP server that lets AI agents save checkpoints in one session and resume in another with minimal token overhead, including git snapshots and code-graph integration.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Orchestrates multiple coding agents at once so an MCP client can delegate implementation work while retaining judgment: each agent runs in its own isolated git worktree and branch, claims the files it edits, and communicates via a mailbox and shared board. Supports blocking questions to the orchestrator, Codex-written acceptance tests locked before workers start, scope validation, and reporting on first-pass success.
      Apache 2.0
    • A
      license
      A
      quality
      B
      maintenance
      Enables Codex to orchestrate persistent Pi RPC workers over a local MCP server, spawning dev, explore and review agents in isolated git worktrees or in place. Codex can inspect status, activity, token/cost metrics and real diffs, then merge only the accepted work and clean up idle workers.
      13
      MIT

    TDQS

    A3.8/5.0

    Scored across 13 tools

    Disambiguation4/5

    Most tools are clearly separated by purpose: tree/search/read handle inspection, write/edit/apply_patch handle distinct modification styles, and bash/show_changes are explicitly kept apart from git/file review. The only mild overlap is between write, edit, and apply_patch, but their descriptions provide clear boundaries, and pi/codex are differentiated by agent name.

    Naming Consistency3/5

    The tool names are readable and consistently lowercase/snake_case, but they mix bare verbs (write, read, edit, search), noun-like commands (tree, bash, workspace), and verb_noun forms (view_image, import_file, show_changes). This is a mixed convention rather than a predictable pattern.

    Tool Count5/5

    Thirteen tools is a reasonable, well-scoped count for a coding workspace server. Each tool addresses a distinct operational need such as file editing, search, verification, change review, workspace routing, or persistent agent interaction, without feeling bloated.

    Completeness3/5

    The set covers core file operations, search, verification, change review, and persistent agent workflows well. However, there are notable gaps: no file delete/remove tool, and the workspace description references a discover capability that is not exposed in the tool list, which creates a potential dead end.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues