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Ollama MCP Server

by hyzhak
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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 9 tools

    Disambiguation4/5

    Most tools have distinct purposes, but 'chat_completion' and 'run' could cause confusion as both involve generating responses from models. 'chat_completion' is for OpenAI-compatible API calls with optional images, while 'run' is for simpler prompts with temperature control, but the overlap in functionality might lead to misselection in some scenarios.

    Naming Consistency2/5

    Naming is inconsistent with a mix of styles: 'chat_completion' uses snake_case, while others like 'cp', 'rm', and 'run' are abbreviated or single words, and 'list', 'pull', 'push', 'create', 'show' are simple verbs. There's no uniform pattern, making it harder to predict or remember tool names.

    Tool Count5/5

    With 9 tools, the count is well-scoped for managing Ollama models, covering operations like listing, creating, copying, running, and removing models, as well as registry interactions. Each tool serves a clear purpose without bloat, fitting the server's domain effectively.

    Completeness4/5

    The tool set provides good coverage for model management, including CRUD-like operations (create, list, rm), registry actions (pull, push), and usage (run, chat_completion, show). A minor gap is the lack of update or modify tools for existing models, but agents can work around this by recreating or using other methods.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources