ThoughtSpot MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ThoughtSpot through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using ThoughtSpot, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 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.
The Vercel AI SDK gives every ThoughtSpot tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the ThoughtSpot MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 7 tools from ThoughtSpot and passes them to the LLM
Why Use Vercel AI SDK with the ThoughtSpot MCP Server
Vercel AI SDK provides unique advantages when paired with ThoughtSpot through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same ThoughtSpot integration everywhere
Built-in streaming UI primitives let you display ThoughtSpot tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
ThoughtSpot + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ThoughtSpot MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ThoughtSpot in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ThoughtSpot tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ThoughtSpot capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ThoughtSpot through natural language queries
ThoughtSpot MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect ThoughtSpot to Vercel AI SDK via MCP:
list_account_users
Lists all users in the ThoughtSpot instance
list_answers
Lists all saved Answers (individual charts or tables)
list_data_connections
g., Snowflake, BigQuery) are connected. Lists configured data source connections
list_liveboards
Lists all available Liveboards (dashboards)
list_metadata_tags
Lists all tags used for classifying metadata objects
list_user_groups
Lists all user groups
search_metadata
Supported types include LIVEBOARD, ANSWER, LOGICAL_TABLE, etc. Search for metadata objects in ThoughtSpot by type
Example Prompts for ThoughtSpot in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ThoughtSpot immediately.
"Show me a list of all active database connections."
"Can you list all the user groups configured?"
Troubleshooting ThoughtSpot MCP Server with Vercel AI SDK
Common issues when connecting ThoughtSpot to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpThoughtSpot + Vercel AI SDK FAQ
Common questions about integrating ThoughtSpot MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect ThoughtSpot 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 ThoughtSpot to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.