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MCP Server with OpenAI-Compatible Model Support

by agaonker
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    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

    B3.1/5.0

    Scored across 6 tools

    Disambiguation5/5

    All six tools have clearly distinct purposes: echo is for testing, generate_text for model generation, list_directory and read_file for file operations, list_models for model metadata, and server_health for checking configuration. There is no overlap or ambiguity.

    Naming Consistency3/5

    Most tools follow a verb_noun pattern (generate_text, list_directory, list_models, read_file), but echo is a single verb and server_health is a noun phrase, breaking consistency. The pattern is still readable but not uniform.

    Tool Count4/5

    With six tools, the count is reasonable for an MCP server. However, the server's stated focus on OpenAI-compatible model support is somewhat diluted by the inclusion of file system tools (list_directory, read_file), which slightly reduces the sense of a well-scoped set.

    Completeness2/5

    For a server claiming OpenAI-compatible model support, the tool surface is notably sparse: only a single generate_text tool and a list_models tool. Missing capabilities like context management, streaming, or role-based chat severely limit model interaction. File access is also one-sided (read only).

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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