How to Use the ThinkStack MCP in Mastra AI

Q: How can I check ThinkStack status with Mastra AI?

Just call checkthinkstackstatus. It tells you right away if your connection to the ThinkStack MCP Server is active. That's the first thing you want to confirm before deploying anything.

Q: Where do I find all my bots using ThinkStack and Mastra AI?

You use listbots for that. It gives a full roster of every chatbot managed through your agent client. You can then pick one and get its details using getbot.

Q: Can I see all available actions for my bots using ThinkStack and Mastra AI?

Yeah, call listactions. This shows every tool or function that your chatbots are allowed to run. You'll need this list when setting up the agent’s capabilities.

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…and any MCP-compatible client

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Connect ThinkStack MCP to Mastra AI

Create your Vinkius account to connect ThinkStack to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup ThinkStack with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream Real-Time Queries

You can send a query using `send_query` and stream the results directly into the UI. This means your user sees the data appearing immediately, not after some loading spinner kicks in. This is critical for building frontends where live feedback matters. The agent uses the result to populate components as it gets them, making the entire interaction feel snappy.

Manage Knowledge Sources

`add_source` lets you feed the system new content that the AI needs for context. You can also list what's available with `list_sources`, so you know exactly which documents are powering the responses. If you need to pull data or remove old material, use `delete_source`. It keeps your knowledge base clean and relevant for the user-facing product.

Track Conversation Context

When a conversation gets complicated, you need history. The tool `get_conversation` pulls all past turns so the agent remembers what was said earlier. You can also list all threads using `list_conversations`, keeping your product's state visible. This context is key when building complex user flows in Next.js or Svelte; it prevents the AI from giving irrelevant answers.

Setup guide

Set up ThinkStack MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All ThinkStack tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "thinkstack-mcp-client",
  servers: {
    "thinkstack-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "ThinkStack Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to ThinkStack tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent ThinkStack transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ThinkStack. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about ThinkStack MCP in Mastra AI

Just call `check_thinkstack_status`. It tells you right away if your connection to the ThinkStack MCP Server is active. That's the first thing you want to confirm before deploying anything.

You use `list_bots` for that. It gives a full roster of every chatbot managed through your agent client. You can then pick one and get its details using `get_bot`.

It handles conversation history, which is a complex textual data type. The server tracks the flow of messages between the user and the agent over time.

Yeah, call `list_actions`. This shows every tool or function that your chatbots are allowed to run. You'll need this list when setting up the agent’s capabilities.

No. The server handles knowledge source data. When you add or delete sources, the underlying content is managed securely by ThinkStack's infrastructure.

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