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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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.
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
- Real-world use case 01
Audit Data Lineage
A data engineer needs to see where a specific report gets its data.
- Real-world use case 02
Team Onboarding
A manager wants to know who is in the Marketing team.
- 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.
01—04
4 capabilities in this set.
Part of 7 available through Sigma Computing.
- 01 Capability
List workbooks
Lists all workbooks in the Sigma organization. This helps you see every available report at once.
- 02 Capability
Get workbook details
Retrieves details for a specific workbook. Use this to see the metadata of a single report.
- 03 Capability
List workbook pages
Lists all pages within a specific workbook. This shows you the layout of a specific report.
- 04 Capability
List connections
Lists data source connections configured in Sigma. Use this to see what databases are linked.
05—07
3 capabilities in this set.
Part of 7 available through Sigma Computing.
- 05 Capability
List organization members
Lists all users in the Sigma organization. This gives you a full view of your user base.
- 06 Capability
List organization teams
Lists all teams in the Sigma organization. This helps you see how the company is structured.
- 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 previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_gQm7h5oIY5gOVePr0VgifFP0jBzhq0ebXuCRDTAj/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Sigma Computing, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Sigma Computing for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_gQm7h5oIY5gOVePr0VgifFP0jBzhq0ebXuCRDTAj/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Sigma Computing URL.
- Step 03
Save and start
Save the connection and enable Sigma Computing in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"sigma-computing": {
"url": "https://edge.vinkius.com/vk_preview_gQm7h5oIY5gOVePr0VgifFP0jBzhq0ebXuCRDTAj/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Sigma Computing
Open Agent mode in chat and ask: "Using Sigma Computing, help me...". 7 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"sigma-computing": {
"url": "https://edge.vinkius.com/vk_preview_gQm7h5oIY5gOVePr0VgifFP0jBzhq0ebXuCRDTAj/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Sigma Computing
Ask Copilot: "Using Sigma Computing, help me...". 7 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"sigma-computing": {
"url": "https://edge.vinkius.com/vk_preview_gQm7h5oIY5gOVePr0VgifFP0jBzhq0ebXuCRDTAj/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Sigma Computing
Open Cascade and ask: "Using Sigma Computing, help me...". 7 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"sigma-computing": {
"url": "https://edge.vinkius.com/vk_preview_gQm7h5oIY5gOVePr0VgifFP0jBzhq0ebXuCRDTAj/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Sigma Computing
Ask Cline: "Using Sigma Computing, help me...". 7 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add sigma-computing --transport http "https://edge.vinkius.com/vk_preview_gQm7h5oIY5gOVePr0VgifFP0jBzhq0ebXuCRDTAj/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Sigma Computing
Ask Claude: "Using Sigma Computing, show me...". 7 tools are ready
Where the request belongs
Work Sigma Computing can move forward.
Data engineers and BI analysts who are tired of manual metadata audits and searching through hundreds of dashboards to find the right data source.
Data Steward
Audits team structures and dataset permissions to ensure company compliance.
BI Analyst
Finds existing workbooks and pages to avoid duplicating work on a Tuesday afternoon.
Data Engineer
Maps out backend connections to understand how data flows into the BI layer.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsMode (Collaborative Data Platform)
Manage collaborative analytics via Mode. list data reports, explore organizational spaces, and audit data sources.
Mode Analytics
Manage collaborative data analysis via Mode Analytics. list spaces, query reports, and trigger report runs directly from any AI agent.
Omni BI Intelligence
Interact with Omni BI dashboards, models, and data exports. run queries and track metrics directly from your AI agent.
Apache Superset
Connect your AI to Apache Superset. Explore BI dashboards, extract chart data, and run live SQL Lab analytics directly from your terminal.
Retable
Organize data in smart spreadsheets with relational views, team collaboration, and workflow automation that goes beyond basic tables.
Grid
Turn spreadsheet data into interactive dashboards and visual stories that make numbers accessible to every stakeholder.
Bring your own AI
Change the model, client or framework. Keep Sigma Computing connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
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?
The native IDE integration context decisively grants explicitly your agent prompt active unadulterated runtime authority seamlessly querying real-time underlying arrays dynamically without latency immediately directly mapping structurally uniquely native taxonomies avoiding graphical interface lags flawlessly intrinsically seamlessly definitively completely.
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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