Tableau 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 Tableau through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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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: {
"tableau": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Tableau Agent",
instructions:
"You help users interact with Tableau " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Tableau?"
);
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 Tableau MCP Server
Connect your Tableau Cloud or Tableau Server to any AI agent and explore business intelligence through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Tableau 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
- Workbooks — List, search, and retrieve workbook metadata and connections
- Views — Query dashboard views, download rendered images, and access underlying data
- Data Sources — List published data sources with freshness and connection details
- Sites & Projects — Navigate the site hierarchy and project structure
- Users & Groups — Query user membership, roles, and permissions
- Jobs — Monitor extract refresh jobs and background task status
The Tableau 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 Tableau to Mastra AI via MCP
Follow these steps to integrate the Tableau 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 Tableau via MCP
Why Use Mastra AI with the Tableau MCP Server
Mastra AI provides unique advantages when paired with Tableau through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Tableau 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 Tableau 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
Tableau + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Tableau MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Tableau, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Tableau as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Tableau on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Tableau tools alongside other MCP servers
Tableau MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Tableau to Mastra AI via MCP:
get_workbook
Get workbook details
list_datasources
Useful for monitoring data freshness. List published data sources
list_jobs
List background jobs
list_projects
List projects in the site
list_users
List site users
list_views
List all views (dashboards)
list_workbooks
List Tableau workbooks
Example Prompts for Tableau in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Tableau immediately.
"Show me all workbooks in the Sales project."
"What data sources haven't been refreshed in over 24 hours?"
"How many active users accessed Tableau this week?"
Troubleshooting Tableau MCP Server with Mastra AI
Common issues when connecting Tableau to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpTableau + Mastra AI FAQ
Common questions about integrating Tableau 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 Tableau with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Purpose-built IDE for agentic AI coding workflows.
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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 Tableau to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.