Skip to main content
Glama
mikeysrecipes

interactive-mcp

Related Servers

Alternatives to interactive-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Complete Model Context Protocol (MCP) server designed to facilitate seamless interaction between Large Language Models (LLMs) and end-users. It provides a robust set of tools for notifications, confirmations, selections, and text inputs, supporting multiple rendering modes including Console, GUI, and Telegram Bot.
      2
      MIT
    • A
      license
      D
      quality
      D
      maintenance
      A TypeScript MCP server demo supporting local Stdio and remote Streamable HTTP, demonstrating tool invocation for AI agents.
      2
      MIT
    • F
      license
      Not graded
      quality
      F
      maintenance
      A basic MCP server implementation using Node.js and TypeScript that bridges AI models with external tools and data sources via JSON-RPC.
      2
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      A demonstration MCP server built in TypeScript that shows how to implement stdio-based communication for integration with MCP clients. Serves as a template for building custom MCP servers with strong typing and maintainability.
      -

    TDQS

    A4.4/5.0

    Scored across 5 tools

    Disambiguation4/5

    Most tools have distinct purposes: start/stop/ask_intensive_chat form a clear lifecycle for intensive chat sessions, message_complete_notification is for signaling completion, and request_user_input is for general pop-up prompts. However, ask_intensive_chat and request_user_input both ask questions to the user, which could cause some confusion about when to use each, though their contexts differ (session-based vs. standalone).

    Naming Consistency5/5

    All tool names follow a consistent snake_case pattern with clear verb_noun structure: start_intensive_chat, ask_intensive_chat, stop_intensive_chat, message_complete_notification, request_user_input. The naming is predictable and readable throughout the set.

    Tool Count5/5

    With 5 tools, this server is well-scoped for interactive user input scenarios. It covers the core needs: starting, managing, and stopping intensive chat sessions, sending standalone user prompts, and signaling completion. Each tool has a clear role without being overly complex or insufficient.

    Completeness5/5

    The tool set provides complete coverage for interactive user input workflows. It supports both intensive chat sessions (with start, ask, and stop tools) and standalone user prompts, plus a notification tool for completion signaling. There are no obvious gaps; agents can handle various interactive scenarios effectively.