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lmstudio-mcp

by Ka1y0
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    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    B3.3/5.0

    Scored across 18 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: status, diagnostics, validation, model listing, inspection, various tests, security audit, snapshot export, log capture, and load/unload actions. Even the testing tools are separated by specific API features (inference, endpoints, tool calling, streaming, structured output), leaving no real ambiguity.

    Naming Consistency4/5

    All tools share the lmstudio_ prefix and use snake_case, but there is a mix of bare nouns (status, capabilities, benchmark) and verb_noun compounds (list_models, load_model, test_inference). This is mostly consistent and readable, but not perfectly uniform.

    Tool Count4/5

    With 18 tools, the server is slightly above the typical well-scoped range, but the breadth is justified by its comprehensive diagnostic and testing mission. The tools cover distinct aspects of local LM Studio management and verification, so the count feels reasonable rather than bloated.

    Completeness5/5

    The toolset covers the full lifecycle of interacting with a local LM Studio: listing and inspecting models, loading/unloading, testing core API paths (inference, tool calling, structured output, streaming), health/diagnostics, security auditing, configuration validation, and log capture. No critical dead ends or missing operations are apparent for the stated purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources