Tableau GraphQL MCP
Ask any Tableau lineage question, in any MCP client, through the Tableau Metadata API.
Connector by tdries · GitHub account verified by the MCP Registry
Install
Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
npx agentmarket install connector/tdries-tableau-graphql-mcp
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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Permissions
What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 26, 2026.
- Tools
- 4 read · 0 write · 0 delete · 3 not yet classified
- Secrets
- 2 (API keys, tokens or passwords)
- Install scripts
- None found
- Runs as
- Python package
Tools by what they do 7
Read from the source code; the running server may list different tools.
Read 4 · Look things up without changing anything.
lineage_examplessearch_contentserver_infowhere_used
Not yet classified 3 · We could not tell from the name and description.
graphql_queryimpact_analysisintrospect_schema
Secrets and settings it asks for
Secrets: values you paste in that let it act as you.
TABLEAU_PAT_NAMETABLEAU_PAT_SECRET
Other settings (environment variables or headers).
TABLEAU_LOG_LEVELTABLEAU_SERVERTABLEAU_SITE_CONTENT_URL
Network hosts it talks to 3
10ax.online.tableau.com· found in codegithub.com· found in codetableau.company.com· found in code
Tools (7)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
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 r…
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 retu…
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.
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.
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 Manag…
Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Weekly downloads
- 52
- Last commit
- Oct 15, 2026 (13 days ago)
- Last release
- Oct 14, 2026 (14 days ago)
- Last package publish
- Oct 14, 2026 (14 days ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Registry name
io.github.tdries/tableau-graphql-mcp- Version
- 0.2.0
- Auth
- API key
- Packages
- pypi tableau-graphql-mcp
- License
- MIT
- Repository
- github.com/tdries/tableau-graphQL-mcp
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
Cite this page
Tableau GraphQL MCP. Agent Mart. https://agentmart.dev/connectors/tdries-tableau-graphql-mcp (last updated 2026-10-24)