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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
pbi_catalog_summaryA

Return high-level counts of scanned Power BI workspaces, semantic models, reports, dataflows, and source connectors.

pbi_list_modelsB

List documented Power BI semantic models with workspace, refresh status, source connectors, table/measure counts, and health warnings.

pbi_inspect_modelB

Return full architecture blueprint of a semantic model: tables, storage modes, relationships, RLS roles, DAX measures, and health findings.

pbi_search_dax_and_mB

Search across all DAX measures, calculated columns, and Power Query M scripts in the catalog.

pbi_source_impactA

Perform end-to-end impact analysis for an upstream database, server, view, SharePoint site, or table name: returns every affected Power BI table, semantic model, DAX measure, and downstream report.

pbi_measure_lineageA

Return full upstream (referenced columns and base measures) and downstream (dependent KPIs and reports) lineage for a DAX measure.

pbi_health_auditC

Return governance, refresh, performance, and architecture findings across all scanned Power BI models.

pbi_generate_portalB

Regenerate the offline HTML Documentation & Live Lineage Portal from the local catalog store.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.5/5.0

Scored across 8 tools

Disambiguation4/5

Each tool has a reasonably distinct job: catalog_summary gives counts, list_models enumerates models, and inspect_model drills into one model's blueprint. The only fuzzy pairs are list_models vs inspect_model (depth vs enumeration) and measure_lineage vs source_impact (both lineage, but scoped to measures vs upstream sources), and the descriptions clarify both well enough.

Naming Consistency4/5

All names are snake_case with a uniform pbi_ prefix and use domain vocabulary consistently. There is a minor deviation between verb-first names (pbi_list_models, pbi_inspect_model, pbi_generate_portal) and noun-first names (pbi_catalog_summary, pbi_measure_lineage, pbi_health_audit, pbi_source_impact), but the pattern remains readable and predictable.

Tool Count5/5

Eight tools is a well-scoped set for a Power BI documentation/lineage server, with each tool covering a distinct read or generate capability. Nothing feels redundant or padded.

Completeness4/5

The surface covers discovery, inspection, DAX/M search, lineage, impact analysis, health auditing, and portal generation, which is strong coverage for documentation workflows. Minor gaps exist: no standalone report or workspace listing (reports appear only as downstream entities), no per-model export, and no tool to trigger a catalog scan/refresh.

Maintenance

ActivityMaintained
ResponsivenessLimited data