Tableau Graphql MCP vs Power BI Modeling MCP Server

Tableau Graphql MCP tools 7

• graphql_queryRun ANY read-only GraphQL query against the Tableau Metadata API. This is the general-purpose tool; use it for any lineage question. Returns {"data": ..., "errors": ...}. The Metadata API is a GraphQL graph of Tableau content (workbooks, sheets, dashboards, datasources, fields) and, with the Data Management add-on, physical assets (databases, tables, columns) and their upstream/downstream lineage. How to write a correct query: - Filters are EXACT and case-sensitive: `filter: {name: "X"}` or `filter: {nameWithin: ["X","Y"]}` (nameWithin is the only multi/OR match; there is NO substring or regex). - Every list field has a `<name>Connection` variant with `first`/`offset`/`after` + `pageInfo` (page size max 1000). Keep one query under ~20,000 nodes; narrow filters and page. - Fields is an interface; branch with `__typename` and inline fragments (`... on ColumnField { columns { name } }`, `... on CalculatedField { formula }`). - Reach a field's owning workbook via `datasource { ... on EmbeddedDatasource { workbook { name } } }`. - `downstream*` fields (downstreamWorkbooks/Owners, external tables/columns) need Data Management (Tableau Catalog) and are often empty otherwise; then resolve via core lineage (referencedByFields -> sheets -> workbook), or just call the `where_used` tool. Entry points include: workbooks, sheets, dashboards, publishedDatasources, embeddedDatasources, fields, columnFields, calculatedFields, columns, databaseTables, customSQLTables, databases, flows, tableauUsers, dataQualityWarnings. Call `lineage_examples` for ready-made query templates and a schema cheat-sheet, or `introspect_schema` to inspect any type's exact fields. Read-only: mutation and subscription operations are rejected. If a query exceeds the ~20,000-node limit, the response is flagged with `partial_results: true` and a `warning` (it does NOT auto-page an arbitrary query) so you never mistake a truncated result for a complete one.
• introspect_schemaIntrospect the live Metadata API GraphQL schema (introspection is enabled). With no argument: returns every Query entry point (with its args) and the full list of type names. With `type_name` (e.g. "Column", "Workbook", "DatabaseTable", "CalculatedField"): returns that type's fields, their result types, and args, so you can write a correct query against exactly what this server exposes.
• lineage_examplesReturn a schema cheat-sheet and a library of curated lineage questions with their correct GraphQL queries (+ example variables). Read this before composing a `graphql_query`. Categories: impact, provenance, calc, datasource, search, inventory, governance, ownership. Pass one to filter; omit to get them all. Each example has: question, graphql, variables, notes.
• where_usedFind which workbooks (and published datasources) USE the given names, the common 'where is this used / impact analysis' question, resolved robustly. `names` are EXACT, case-sensitive names of any of: a Snowflake/DB column, a Tableau field or alias, or a database table. Pass several to check them in one call. Results group by workbook, showing how each matched (column / field / whole table, with schema and source table) and which worksheets use it. This uses CORE lineage (referencedByFields -> field.sheets -> workbook, and field.datasource -> workbook), so it works even without the Data Management add-on where `downstreamWorkbooks` is empty. For other shapes of question, use `graphql_query`.
• impact_analysisFull transitive (MULTI-HOP) downstream impact of a column, field, or table. Returns every field that directly OR indirectly depends on it, and all affected sheets, dashboards, workbooks, plus the de-duplicated set of OWNERS to notify before a change. This is the "what breaks if I change/drop this?" tool. Unlike `where_used` (one core-lineage hop), it follows the whole dependency chain — a calc built on a calc built on the column is included. `name` is exact and case-sensitive. Workbooks are derived from downstream sheets/dashboards (the flat downstreamWorkbooks edge is unreliable). If it returns nothing on a site without Data Management, the transitive lineage may not be indexed there — use `where_used` for the direct references.
• search_contentFind content whose NAME contains `term` (case-insensitive SUBSTRING). Use this when you only know part of a name, since every other tool and the Metadata API filter are exact-match. Searches workbooks, published datasources, and database tables by default. Pass `types` to choose from: "workbook", "datasource", "table", "field", "column". Returns matches grouped by type. It pages through content client-side, so on a very large site it scans the first ~1200 of each type and says so in `note`; once you know the exact name, prefer `graphql_query` or `where_used`.
• server_infoReport the connected Tableau environment: server URL, site, product & REST API version, which Metadata API endpoint is in use, the auth method, and whether external-asset (Data Management / Catalog) lineage appears available. Good first call to confirm the connection and understand what lineage depth to expect.

Power BI Modeling MCP Server tools

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