Skip to main content
Glama
hbd

MCP Chat

by hbd

Related Servers

Alternatives to MCP Chat

No user-submitted related servers found.

    Related Servers

    • F
      license
      B
      quality
      B
      maintenance
      MCP server that bridges multiple AI agents for unified local chat, supporting private messages, chat rooms, role queues, and broadcast with fixed identities and rate limiting.
      14
      1
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      A foundational implementation of a Model Context Protocol (MCP) server designed for educational purposes. It demonstrates the complete interaction between an LLM, an inference engine, and a client during an agentic call.
      -
    • A
      license
      B
      quality
      D
      maintenance
      A toy MCP server for exploring Model Context Protocol capabilities, including resources, tools, and prompts.
      1
      Apache 2.0

    TDQS

    A4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: join_room establishes a connection, send_message transmits messages, wait_for_message receives messages, and leave_chat terminates participation. The descriptions explicitly differentiate their roles in the chat workflow, eliminating any potential confusion.

    Naming Consistency5/5

    All tools follow a consistent verb_noun naming pattern (join_room, leave_chat, send_message, wait_for_message) with clear, descriptive verbs that match their actions. The naming is uniform and predictable across the entire set.

    Tool Count5/5

    Four tools is perfectly appropriate for a chat server's scope, covering the essential lifecycle: joining, sending, receiving, and leaving. Each tool earns its place without redundancy or gaps, making the set well-scoped and manageable.

    Completeness5/5

    The toolset provides complete coverage for a basic chat domain, enabling a full CRUD-like lifecycle: join (create session), send/read (update/retrieve messages), and leave (delete participation). There are no obvious gaps, and the descriptions guide agents through coherent conversation flows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues