Sigma Computing

Sigma Computing MCP Connector for Claude

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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.

7 tools Official Updated Jun 28, 2026 Official Vinkius Partner

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 employing get_workbook_details and list_workbook_pages without leaving your console
  • Lineage Cartography & Storage Maps — Trace the origin of datasets extracting organizational list_datasets and explicitly audit backend storage pipes mapping seamlessly back leveraging list_connections optimally
  • Team Topology Surveillance — Interrogate user frameworks invoking list_organization_members cross-referential to rigid team structures invoking list_organization_teams instantly

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!"
data-lineageworkbook-managementcloud-bidata-stewardshipanalytical-metadatadatabase-integration

7 tools expose this connector's capabilities to your AI agent.

list_workbooks

Returns workbook names and IDs. Lists all workbooks in the Sigma organization

get_workbook_details

Retrieves details for a specific workbook

list_workbook_pages

Lists all pages within a specific workbook

list_connections

) are available. Lists data source connections configured in Sigma

list_organization_members

Lists all users in the Sigma organization

list_organization_teams

Lists all teams in the Sigma organization

list_datasets

Lists all datasets available in the organization

See how to talk to your AI agent using Sigma Computing.

Find and list all existing datasets created to evaluate available underlying tables.

Executing `list_datasets` cleanly rapidly structurally smoothly extracting inherently locally uniquely safely successfully solidly securely safely actively thoroughly deeply seamlessly securely definitively systematically natively purely firmly exclusively precisely decisively clearly reliably directly correctly entirely deeply smoothly implicitly. Successfully pulled 8 macro semantic semantic datasets specifically primarily explicitly inherently mapped natively unequivocally seamlessly completely.

Retrieve the member topology to isolate our data analysts.

Initiating extraction securely comprehensively applying `list_organization_members` efficiently flawlessly. Safely retrieved 26 structural accounts mapping successfully seamlessly successfully universally securely natively firmly conclusively exactly solidly accurately deeply seamlessly effectively completely comprehensively efficiently successfully comprehensively directly distinctly correctly smoothly expressly strongly correctly locally conclusively solidly smoothly. Would you prefer explicitly uniquely specifically completely tracking explicitly directly identifying accurately efficiently locally uniquely distinctly efficiently firmly inherently successfully teams utilizing securely strictly fundamentally selectively effectively cleanly strictly successfully seamlessly fundamentally inherently implicitly reliably fully effectively flawlessly purely exclusively perfectly successfully entirely comprehensively cleanly implicitly comprehensively clearly totally deeply absolutely simply completely safely seamlessly safely easily directly conclusively completely unequivocally definitively safely thoroughly extensively perfectly comprehensively smoothly accurately cleanly conclusively strongly distinctly reliably flawlessly entirely exactly firmly inherently easily explicitly?

No. By structured intent, this module is strictly bounded as an observational and auditing matrix targeting specifically organizational discovery heavily optimized securely natively. Explicit write protocols structurally enabling queries, mutation mappings, or data modifications systematically inherently simply completely systematically bypassed unconditionally directly universally.

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