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IRIS MCP Blueprint

by pietrodileo
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Python
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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

    B3.2/5.0

    Scored across 26 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, covering production management, database operations, globals, web apps, and code search. A few pairs like check_global/check_global_content and fetch_data/export_table could cause confusion, but descriptions help differentiate them.

    Naming Consistency3/5

    Naming conventions are mixed: some use verb_noun (add_production_item), others verb_object (describe_table), and some verb_phrase (import_csv_to_iris). While readable, there is no consistent pattern like verb_noun throughout, which reduces predictability.

    Tool Count4/5

    With 26 tools, the server covers a broad domain (production, database, globals, web apps, code). While slightly high, each tool serves a distinct purpose within the scope, making the count acceptable.

    Completeness3/5

    The tool set covers production lifecycle, database queries, and global management well, but lacks explicit table creation (only via import), update/delete rows, and table deletion. These gaps can hinder typical CRUD workflows and require workarounds.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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