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alptugharun

AI Workbench MCP

by alptugharun
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    • Agent Skill Runtime MCP Server

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    Deploy Server
    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

    A4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a distinct action and resource: list_prompts enumerates the catalog, render_prompt renders a specific template, and get_assistant retrieves a blueprint. The list vs get distinction is clear, with no overlapping purposes.

    Naming Consistency5/5

    All names follow a consistent verb_noun snake_case pattern: list_prompts, render_prompt, get_assistant. Pluralization varies logically (list many vs render/get one), but the convention is uniform.

    Tool Count5/5

    Three tools are well-suited to a read-only local catalog, covering the essential operations of enumerating, rendering, and retrieving. The count is minimal but each tool earns its place, with no bloat or missing core function.

    Completeness4/5

    The surface covers listing, rendering, and retrieving, but lacks a direct way to get a raw prompt template without rendering it (e.g., get_prompt) or a generic assistant blueprint without host selection. These are minor gaps for a small catalog that agents can likely work around.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive

    Resources