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Related Servers

Alternatives to MCP Server Sample

No user-submitted related servers found.

    Related Servers

    • 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.
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      A Model Context Protocol server that bridges MCP clients with local LLM services, enabling seamless integration with MCP-compatible applications through standard tools like chat completion, model listing, and health checks.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      A minimal server/client application implementation utilizing the Model Context Protocol (MCP) and Azure OpenAI.
      35
      MIT
    • F
      license
      D
      quality
      D
      maintenance
      A ready-to-use starter implementation of the Model Context Protocol (MCP) server that enables applications to provide standardized context for LLMs with sample resources, tools, and prompts.
      2
      12 npm
      1
      -

    TDQS

    B3.2/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of confusion or overlap between tools. The tool 'add' has a clear and distinct purpose of adding two numbers, so disambiguation is perfect.

    Naming Consistency5/5

    With a single tool, naming consistency is inherently perfect as there are no other tools to compare against. The tool name 'add' follows a simple verb pattern, which is appropriate for its function.

    Tool Count2/5

    A single tool is too few for most server purposes, as it limits functionality and scope. While it might be appropriate for a trivial demo, it feels thin and incomplete for any meaningful domain coverage.

    Completeness1/5

    The server is severely incomplete, as it only offers a basic arithmetic operation. There are obvious gaps, such as missing other mathematical operations or any broader domain coverage, which will cause agent failures in most scenarios.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues