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D365 F&O 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

    A4.2/5.0

    Scored across 20 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes (build vs validate vs write vs read), and the descriptions aggressively state when-to-use and when-NOT-to-use. However, there is real conceptual overlap: prepare is an aggregator that explicitly 'replaces the analyze→search→info→generate loop', overlapping analyze_code/search/get_object_info, and several validators (validate_code, run_bp_check, verify_d365fo_project) require reading carefully to pick correctly.

    Naming Consistency4/5

    Names are overwhelmingly snake_case and follow a readable verb_noun or noun_info pattern (validate_code, get_object_info, build_d365fo_project, find_references). Minor deviations exist — bare nouns/verbs like prepare, search, labels, d365fo_file — but the convention is still predictable.

    Tool Count4/5

    20 tools is on the heavy side, but the D365FO domain is genuinely broad (indexing, read, write, generate, validate, build, test, security, extensibility, labels) and most tools fold multiple modes into one entry point rather than spawning separate tools. Each tool earns a distinct role, so the count is reasonable though bordering on large.

    Completeness5/5

    The surface covers the full development lifecycle: workspace discovery, search/read (get_object_info, search, find_references), generation (generate_object, object_patterns), writes (d365fo_file, labels), validation (validate_code, run_bp_check, verify_d365fo_project), build, test, security, and extensibility analysis. No obvious dead ends for a stated D365FO authoring purpose.

    Maintenance

    ActivityActive
    ResponsivenessResponsive

    Resources