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christianclaudio/mcp-server-sigma

Enterprise MCP server for Sigma Computing. Provision dashboards, build models, and automate cloud analytics. (Not official/affiliated with Sigma Computing, Inc.)

⭐ 3 stars
⑂ 0 forks
Python
momentum ▲ 5.0
created 2026-08-05
on radar since 2026-08-08
data-analyticsmcpmcp-servermodel-context-protocolpythonsigma-computing
View on GitHub ↗Homepage ↗

About mcp-server-sigma

Supercharge your AI Agents with native Sigma Computing superpowers! ⚡ An enterprise-grade Model Context Protocol (MCP) server with 155 tools covering connections, workbooks, data models, members, teams, deployments, webhooks, multi-tenant operations, and composite workflow recipes straight to your favorite AI assistant.

[!IMPORTANT] Community Project Disclaimer mcp-server-sigma is an independent open-source community project. It is not affiliated with, sponsored by, endorsed by, or supported by Sigma Computing, Inc. "Sigma Computing" is a trademark of Sigma Computing, Inc.

[!WARNING] Credentials & Safety Notice This server uses API credentials scoped to your Sigma organization. Tools can mutate workbooks, users, teams, and data models. - Read-Only Mode: To run safely without mutation risk, set SIGMAMCPREADONLY=1 (grants 83 read-only tools). - Destructive Safety Gates: All single-delete tools require explicit confirm=True. Bulk destructive operations (sigmabulkdeactivatemembers, sigmabulkremoveteammembers) are disabled by default and require SIGMAMCPALLOWBULKDESTRUCTIVE=1. - Read SECURITY.md before deploying to production.

Sigma Computing has a unique architectural asymmetry that shapes how you automate it:

1. Data Models are 100% Code-Representable: You can programmatically construct data models, define columns, joins, and SQL logic, update JSON specs, and swap warehouse sources via API. 2. Workbook Layouts are primarily UI-driven: While Sigma has introduced Beta endpoints for workbook specifications (/v2/workbooks/spec), programmatically constructing layout elements fr

From the project README.

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