Sigma Computing MCP Server
Equip your AI agent to audaciously navigate your Sigma data workflows. List core workbooks, map connections, trace dataset lineage, and monitor organization teams directly from your IDE.
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Sigma Computing MCP Server : voyez votre AI Agent en action
Capacités intégrées (7)
get_workbook_details
Retrieves details for a specific workbook
list_connections
) are available. Lists data source connections configured in Sigma
list_datasets
Lists all datasets available in the organization
list_organization_members
Lists all users in the Sigma organization
list_organization_teams
Lists all teams in the Sigma organization
list_workbook_pages
Lists all pages within a specific workbook
list_workbooks
Returns workbook names and IDs. Lists all workbooks in the Sigma organization
Ce que ce connecteur débloque
Grant your AI agent (like Claude or Cursor) aggressive observational dominance over your Sigma Computing environment. The Sigma MCP equips your LLM to act as a fully autonomous data steward. Forget endlessly opening heavy BI platforms through browsers—now you can interrogate workbook metadata, map out Snowflake/BigQuery dependencies, and extract analytical taxonomies exclusively via natural conversational prompts interacting deeply with your dedicated API.
What you can do
- Massive Dashboard Espionage — Rip through your organizational analytics backbone via
list_workbooks. Narrow down to specific layouts by drilling down structurally employingget_workbook_detailsandlist_workbook_pageswithout leaving your console - Lineage Cartography & Storage Maps — Trace the origin of datasets extracting organizational
list_datasetsand explicitly audit backend storage pipes mapping seamlessly back leveraginglist_connectionsoptimally - Team Topology Surveillance — Interrogate user frameworks invoking
list_organization_memberscross-referential to rigid team structures invokinglist_organization_teamsinstantly
How it works
1. Anchor this core interface directly within your native MCP agent framework
2. Safely entrench your SIGMA_CLIENT_ID and SIGMA_CLIENT_SECRET pairing inside the workspace to lock down security boundaries
3. Engage your agent pragmatically: "List all BI workbooks related to the North American region and see what underlying datasets they depend on!"
Questions fréquemment posées
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