Skip to main content
Glama
GavinTomlins

rocketchat-mcp-server

by GavinTomlins

Related Servers

Alternatives to rocketchat-mcp-server

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      C
      maintenance
      MCP server for Rocket.Chat, enabling AI agents to interact with Rocket.Chat workspaces via tools like listing users, sending messages, and managing channels.
      2
      -
    • F
      license
      Not graded
      quality
      C
      maintenance
      A production-ready Model Context Protocol server built with Python and FastMCP, featuring modular architecture, centralized tool registration, Docker support, and a suite of utility tools for AI applications.
      3
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents and LLMs to interact with the ICON MCP v104 API through standardized tools. The server is built on FastMCP for efficient async handling and includes Docker support for easy deployment.
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      A comprehensive MCP server providing 21+ tools for mathematical operations, string manipulation, file handling, utilities, and web requests via FastAPI and WebSocket.
      -

    TDQS

    B3.2/5.0

    Scored across 28 tools

    Disambiguation5/5

    Each tool targets a distinct action or resource, with clear separation between message operations, channel queries, user info, and file handling. Even similar tools like get_channel_messages and search_messages have different intents, and descriptions prevent confusion.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case, such as add_reaction, delete_message, list_channels, and send_dm. The only minor variation is reply_to_thread, which still adheres to the same convention.

    Tool Count3/5

    28 tools is above the typical 5-15 range for MCP servers, but the coverage of Rocket.Chat operations (messages, channels, users, files, etc.) justifies the count. It's borderline heavy but not excessive.

    Completeness3/5

    The toolset covers core messaging, channel reading, and user lookups, but lacks room creation/deletion (e.g., create_channel, delete_room) and administrative actions. This creates noticeable gaps for automation of the full lifecycle.

    Maintenance

    ActivityStale
    ResponsivenessNo issues