Skip to main content
Glama
4regab
by 4regab

Related Servers

Alternatives to tasksync-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables real-time user intervention for MCP agents via a Web UI and interactive_feedback tool, allowing users to review context and send instructions when agents drift from intent.
      MIT
    • A
      license
      Not graded
      quality
      F
      maintenance
      MCP server for collaborative markdown editing, allowing agents to write documents and humans to comment, with comments fed back as agent input.
      224,710 npm
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      A lightweight MCP server that enables AI assistants to collect interactive user feedback via a browser window with full Markdown rendering and syntax highlighting.
      1
      22 npm
      3
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables running a personal, forkable MCP server that exposes your Markdown files as public read tools for other agents, and lets them leave you messages. It dynamically generates tools from your context files and supports optional discovery and notifications.
      MIT
    • F
      license
      B
      quality
      D
      maintenance
      MCP server that enables human-in-the-loop workflow in AI-assisted development tools by allowing users to provide direct feedback to AI agents without consuming additional premium requests.
      1
      1
      -
    • A
      license
      A
      quality
      C
      maintenance
      An interactive feedback MCP server with a web UI, enabling AI-driven development workflows where AI can prompt users for feedback before taking actions, supporting platforms like Cursor, Cline, and Windsurf.
      2
      MIT

    TDQS

    A3.9/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools serve entirely distinct purposes: get_feedback handles a continuous feedback loop for task management and user interaction, while view_media reads and encodes image files. There is no functional overlap or ambiguity between them, making tool selection clear and straightforward.

    Naming Consistency4/5

    Both tools follow a verb_noun pattern (get_feedback, view_media), which is consistent and predictable. The naming is clear and descriptive, with only a minor deviation in that 'get' and 'view' are slightly different verbs, but they remain semantically appropriate and maintain overall coherence.

    Tool Count2/5

    With only two tools, the server feels under-scoped for its implied domain of task synchronization and media handling. The get_feedback tool is heavily emphasized with extensive mandatory usage rules, suggesting a core focus, but the lack of complementary tools (e.g., for creating, updating, or managing tasks or feedback) makes the set appear incomplete and limited in functionality.

    Completeness2/5

    The server has significant gaps in coverage. While get_feedback provides a feedback mechanism and view_media handles image reading, there are no tools for core task management operations (e.g., create_task, list_tasks, update_task) or broader media manipulation. This incomplete surface will likely hinder agents in performing comprehensive workflows within the domain.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues