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akritiAgrawal27

MCP Chat

by akritiAgrawal27
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    Related Servers

    • MCP Chat

      ziasial7425
      F
      license
      B
      quality
      C
      maintenance
      Command-line interface for interactive chat with AI models via Anthropic API, supporting document retrieval and command-based prompts through MCP.
      2
      -

    • MCP Chat

      AjinkyaHimanshu
      F
      license
      B
      quality
      B
      maintenance
      Enables command-line interactive chat with Anthropic AI models, supporting document retrieval via @ references and slash commands for custom tool execution through the MCP architecture.
      2
      -

    • MCP Chat

      IDHaunter
      F
      license
      A
      quality
      C
      maintenance
      Enables interactive chat with AI models through the Anthropic API, supporting document retrieval, command-based prompts, and extensible tool integrations via the MCP architecture.
      2
      -

    • MCP Chat

      adijad
      F
      license
      Not graded
      quality
      C
      maintenance
      A command-line interface application that enables interactive chat with AI models through the Anthropic API, supporting document retrieval, command-based prompts, and extensible MCP tool integrations.
      -
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.7/5.0

    Scored across 2 tools

    Disambiguation5/5

    Each tool handles a distinct operation: one reads document contents, the other edits by replacing a string. There is no overlap or ambiguity, so an agent can easily choose the correct tool based on the desired action.

    Naming Consistency4/5

    Both tools follow a verb_noun pattern with snake_case (read_doc_contents, edit_document), which is consistent. However, one uses the abbreviation 'doc' while the other uses the full word 'document', creating a minor inconsistency in naming style.

    Tool Count3/5

    With only two tools, the server feels very thin. The tools are fundamental but the count is borderline, offering minimal functionality for a document-focused server.

    Completeness3/5

    The set covers read and edit operations, but lacks create, delete, list, or search capabilities. These are notable gaps that could prevent agents from completing common document management workflows.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources