Sigma Computing MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Sigma Computing through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"sigma-computing": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Sigma Computing Agent",
instructions:
"You help users interact with Sigma Computing " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Sigma Computing?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Sigma Computing MCP Server
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Sigma Computing tool infrastructure. Connect 7 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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
The Sigma Computing MCP Server exposes 7 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Sigma Computing to Mastra AI via MCP
Follow these steps to integrate the Sigma Computing MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 7 tools from Sigma Computing via MCP
Why Use Mastra AI with the Sigma Computing MCP Server
Mastra AI provides unique advantages when paired with Sigma Computing through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Sigma Computing without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Sigma Computing tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Sigma Computing + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Sigma Computing MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Sigma Computing, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Sigma Computing as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Sigma Computing on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Sigma Computing tools alongside other MCP servers
Sigma Computing MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Sigma Computing to Mastra AI via MCP:
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
Example Prompts for Sigma Computing in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Sigma Computing immediately.
"Find and list all existing datasets created to evaluate available underlying tables."
"Retrieve the member topology to isolate our data analysts."
Troubleshooting Sigma Computing MCP Server with Mastra AI
Common issues when connecting Sigma Computing to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSigma Computing + Mastra AI FAQ
Common questions about integrating Sigma Computing MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Sigma Computing with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Sigma Computing to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.