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PieterVDMerwe

Ollama MCP Wrapper

by PieterVDMerwe
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Python
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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

    B3.4/5.0

    Scored across 5 tools

    Disambiguation3/5

    The tools are mostly distinct, but list_local_models and list_running_models are similar in purpose (listing models in different states), and run_model_completion and generate_with_tools both handle generation. Descriptions clarify the differences, but the boundaries could be sharper.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern (list_*, run_*, generate_*, stop_*), making the naming predictable and easy to navigate.

    Tool Count5/5

    With only five tools, the set is well-scoped and focused on core local model interaction, avoiding unnecessary bloat while covering the essential immediate operations.

    Completeness3/5

    The set covers listing, running, and stopping models, but lacks essential model lifecycle management like pulling or deleting models, which are common in Ollama workflows. This leaves notable gaps for a wrapper of this kind.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources