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ollama-fleet-mcp

by Obrais-cloud
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Python
Local

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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

    A4/5.0

    Scored across 6 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes: list_models for inventory, fleet_health for status, pull_model for downloading, compare_models for side-by-side comparison. However, generate and smart_generate both perform text generation and differ only in routing logic (explicit host vs auto-route), which could cause misselection.

    Naming Consistency3/5

    Naming conventions are mixed: list_models and pull_model use verb_noun, generate is a bare verb, fleet_health is a noun phrase, smart_generate is adjective_verb. The names are readable but do not follow a single consistent pattern.

    Tool Count5/5

    Six tools is a well-scoped set for an Ollama fleet management server, covering the essential operations of listing models, generating responses, checking health, comparing models, and pulling models without unnecessary bloat.

    Completeness4/5

    The tool surface covers the core workflows: inventory (list_models), generation (generate, smart_generate), comparison (compare_models), health monitoring (fleet_health), and model acquisition (pull_model). Missing operations like delete_model or model detail inspection are minor gaps that agents can work around.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources