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Vinkius

ThoughtSpot MCP Server for Mastra AI 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect ThoughtSpot through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
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: {
      "thoughtspot": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "ThoughtSpot Agent",
    instructions:
      "You help users interact with ThoughtSpot " +
      "using 7 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with ThoughtSpot?"
  );
  console.log(result.text);
}

main();
ThoughtSpot
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ThoughtSpot MCP Server

Connect your ThoughtSpot instance to any AI agent and bring your analytics workflows directly into your chat. Search through your metadata, access reports, and list configurations natively.

Mastra's agent abstraction provides a clean separation between LLM logic and ThoughtSpot tool infrastructure. Connect 7 tools through 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

  • Metadata Search — Search for specific analytical assets across your organization and filter by type (Liveboards, Answers, Logical Tables)
  • Browse Visualizations — List all available Liveboards (dashboards) and Answers (individual charts/tables) without leaving your environment
  • Team Management — Retrieve lists of registered account users and user groups, along with their access levels
  • Backend Topologies — List all configured data source connections (such as Snowflake and BigQuery) serving your platform
  • Organization — Navigate through metadata tags used for classifying data objects and reports

The ThoughtSpot 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 ThoughtSpot to Mastra AI via MCP

Follow these steps to integrate the ThoughtSpot MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 7 tools from ThoughtSpot via MCP

Why Use Mastra AI with the ThoughtSpot MCP Server

Mastra AI provides unique advantages when paired with ThoughtSpot through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ThoughtSpot without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every ThoughtSpot tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

ThoughtSpot + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the ThoughtSpot MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query ThoughtSpot, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed ThoughtSpot as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query ThoughtSpot on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using ThoughtSpot tools alongside other MCP servers

ThoughtSpot MCP Tools for Mastra AI (7)

These 7 tools become available when you connect ThoughtSpot to Mastra AI via MCP:

01

list_account_users

Lists all users in the ThoughtSpot instance

02

list_answers

Lists all saved Answers (individual charts or tables)

03

list_data_connections

g., Snowflake, BigQuery) are connected. Lists configured data source connections

04

list_liveboards

Lists all available Liveboards (dashboards)

05

list_metadata_tags

Lists all tags used for classifying metadata objects

06

list_user_groups

Lists all user groups

07

search_metadata

Supported types include LIVEBOARD, ANSWER, LOGICAL_TABLE, etc. Search for metadata objects in ThoughtSpot by type

Example Prompts for ThoughtSpot in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with ThoughtSpot immediately.

01

"Show me a list of all active database connections."

02

"Can you list all the user groups configured?"

Troubleshooting ThoughtSpot MCP Server with Mastra AI

Common issues when connecting ThoughtSpot to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

ThoughtSpot + Mastra AI FAQ

Common questions about integrating ThoughtSpot MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect ThoughtSpot to Mastra AI

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.