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mkoziel2000

mcp-fabric-api

by mkoziel2000
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    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

    B3.2/5.0

    Scored across 219 tools

    Disambiguation4/5

    Most tools are clearly distinguished by a resource prefix and action verb, making the majority of the 219 tools easy to tell apart. Some ambiguity exists around SQL endpoint access (sql_endpoint_get vs lakehouse_get_sql_endpoint vs warehouse_get_sql_endpoint) and semantic model definition format variants (get_bim vs get_tmdl vs get_details), but the descriptions largely resolve these cases.

    Naming Consistency5/5

    The naming convention is highly consistent throughout: resource_action in snake_case, with predictable verbs like list, get, create, update, delete, run, and cancel. Even format-specific variants like semantic_model_create_bim vs semantic_model_create_tmdl follow the same structural pattern. This makes the tool surface very predictable despite its size.

    Tool Count1/5

    219 tools is an extreme count that far exceeds the 3-15 tool range considered well-scoped and exceeds the 50+ threshold for extreme mismatch. Even for a broad Microsoft Fabric API, this single server creates severe context bloat, high selection overhead, and poor agent usability. The surface should be split into multiple focused MCP servers or dramatically consolidated.

    Completeness4/5

    The tool set covers a very broad Fabric domain: CRUD for nearly every item type, definition management, run/status/cancel operations, git integration, deployment pipelines, environment management, and auth. Minor gaps exist, such as missing dataflow_update_definition and graphql_api_update_definition, but these can be worked around with recreate or direct API usage. No critical dead ends block common workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources