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Bauplan MCP Server

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by BauplanLabs
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    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

    B3.3/5.0

    Scored across 33 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes (e.g., create, get, delete for different resources). Potential overlaps like code_run vs project_run and run_query vs run_query_to_csv are mitigated by detailed descriptions. A few pairs could still cause confusion, but overall boundaries are clear.

    Naming Consistency3/5

    Naming patterns are mixed: some use verb_noun (create_branch), others verb_noun_noun (apply_table_creation_plan), and retrieval uses both 'get_' and 'list_' inconsistently (e.g., get_branches vs list_tables). While still readable, the inconsistency may hinder quick tool selection.

    Tool Count3/5

    With 33 tools, the server is on the heavier side for a typical MCP server. While the domain (data catalog and pipelines) justifies many operations, some tools like multiple query variants and plan phases could be consolidated. Not extreme, but above ideal.

    Completeness4/5

    The tool surface covers CRUD for branches, namespaces, tables, and tags, plus job management, query execution, and pipeline runs. Missing explicit update tools (e.g., update_table) but those are handled via merge/revert/import. The inclusion of a meta-instruction tool is helpful. Minor gaps exist but overall solid.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive

    Resources