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jgt87

local-llm-mcp

by jgt87
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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

    A4.4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: listing models, asking a model a prompt, and classifying text into labels. There is no overlap between querying for answers and categorizing input, and the model-listing tool is unambiguously separate from both.

    Naming Consistency5/5

    All three tools follow a consistent local_ prefix with clear verb_verb-noun style (models, ask, classify). The pattern is uniform and predictable, making selection straightforward.

    Tool Count3/5

    At three tools, this is on the low end but each earns its place for a focused local-LLM utility server. The count is appropriate for the narrow scope of running local model inference, though it borders on thin.

    Completeness4/5

    The server covers the core lifecycle for local model interaction: discovery (local_models), free-form prompting (local_ask), and structured classification (local_classify). A minor gap is the lack of a tool to pull or manage models, but for the stated inference-focused purpose the surface is largely complete.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources