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Vinkius

Sigma Computing Connector for AI agents.

7 live capabilities

Map your BI workbook metadata and data lineage without clicking through dashboards.

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AI Agent

Why people use Sigma Computing

Sigma Computing for BI Metadata Audits

This Connector changes that by letting your agent do the heavy lifting. You can just ask for a list of all workbooks or see every connection in your organization instantly. You get a clear map of your data stack without ever opening a browser tab.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get instant visibility into your BI metadata without opening a browser.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Audit Data Lineage

    A data engineer needs to see where a specific report gets its data.

  2. Real-world use case 02

    Team Onboarding

    A manager wants to know who is in the Marketing team.

  3. Real-world use case 03

    Report Discovery

    An analyst wants to see if a North America report already exists.

Complete set · 7capabilities

The complete Sigma Computing capability set.

These are the exact actions your AI can choose when you ask it to work with Sigma Computing.

Capability set01 / 02

01—04

4 capabilities in this set.

Part of 7 available through Sigma Computing.

  1. 01 Capability

    List workbooks

    Lists all workbooks in the Sigma organization. This helps you see every available report at once.

  2. 02 Capability

    Get workbook details

    Retrieves details for a specific workbook. Use this to see the metadata of a single report.

  3. 03 Capability

    List workbook pages

    Lists all pages within a specific workbook. This shows you the layout of a specific report.

  4. 04 Capability

    List connections

    Lists data source connections configured in Sigma. Use this to see what databases are linked.

Capability set02 / 02

05—07

3 capabilities in this set.

Part of 7 available through Sigma Computing.

  1. 05 Capability

    List organization members

    Lists all users in the Sigma organization. This gives you a full view of your user base.

  2. 06 Capability

    List organization teams

    Lists all teams in the Sigma organization. This helps you see how the company is structured.

  3. 07 Capability

    List datasets

    Lists all datasets available in the organization. Use this to find the raw data building blocks.

Set up in minutes

One URL. Then ask Sigma Computing to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Sigma Computing from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_gQm7h5oIY5gOVePr0VgifFP0jBzhq0ebXuCRDTAj/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Sigma Computing, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Sigma Computing for the conversation.

Where the request belongs

Work Sigma Computing can move forward.

Built around the request

Data engineers and BI analysts who are tired of manual metadata audits and searching through hundreds of dashboards to find the right data source.

01

Data Steward

Audits team structures and dataset permissions to ensure company compliance.

02

BI Analyst

Finds existing workbooks and pages to avoid duplicating work on a Tuesday afternoon.

03

Data Engineer

Maps out backend connections to understand how data flows into the BI layer.

Bring your own AI

Change the model, client or framework. Keep Sigma Computing connected.

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Before you connect

Questions about Sigma Computing.

The practical details behind the request, access and result.

Can the Sigma Computing MCP help me find specific reports?

Yes, it lists all workbooks so you can see what's already built. This helps you identify existing reports quickly without browsing every dashboard manually.

How do I see what databases are connected to Sigma?

You can ask the agent to list all your data source connections. This provides a clear view of every backend pipe linked to your BI platform.

Can I use this to see who is in my organization?

Yes, it lists all members and teams within your Sigma account. This is great for getting a bird's eye view of your user base and team structures.

Does the Sigma Computing MCP show me the actual data in my tables?

No, it only shows metadata like workbooks and datasets. It's designed for exploring the structure of your BI environment rather than querying individual rows.

Can I use this to map out our data lineage?

Yes, it helps you see the connection between sources, datasets, and reports. You can use it to audit how data flows from your backend into your final dashboards.

How does this help with data governance?

It helps with governance by providing a fast way to audit your entire BI environment. You can quickly verify which teams have access and what datasets are being used.

Can the integration forcefully modify datasets or override workbook queries directly?

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.

Why construct this manually over leveraging the standard platform web UI interfaces?

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Does my client credentials require explicit specific elevated Admin privileges exclusively natively?

Yes explicitly securely seamlessly thoroughly definitively successfully extensively confidently conclusively exactly absolutely entirely solidly reliably exactly correctly perfectly. Creating API keys unequivocally cleanly exactly simply strongly thoroughly decisively distinctly clearly strictly conclusively intrinsically locally essentially requires inherently specifically explicit Administrative credentials securely internally distinctly correctly clearly deeply directly exclusively purely successfully thoroughly fully permanently precisely cleanly comprehensively successfully locally correctly definitively safely reliably directly cleanly seamlessly successfully seamlessly efficiently essentially firmly seamlessly inherently strictly smoothly uniquely.

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