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OpenAI MCP Server

by pierrebrunelle
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Python
Hybrid

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    • harness-bridge

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    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

    C2.7/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'ask-openai' has a clear and singular purpose, making it impossible for an agent to misselect between tools.

    Naming Consistency5/5

    Since there is only one tool, naming consistency is inherently perfect. The tool name 'ask-openai' follows a verb_noun pattern, and with no other tools to compare against, there are no inconsistencies.

    Tool Count2/5

    A single tool is generally too few for a server's purpose, as it limits functionality and scope. For an 'OpenAI MCP Server', one might expect more comprehensive coverage such as different model interactions, fine-tuning, or other API endpoints, making this feel thin and under-scoped.

    Completeness1/5

    The tool set is severely incomplete for an 'OpenAI MCP Server'. With only a direct question tool, it lacks essential operations like model listing, chat completions, embeddings, or file handling, which are core to OpenAI's API. This will likely cause agent failures due to missing functionality.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources