How to Use the SmartChatAI MCP in Mastra AI

Q: If I need a bot to act on newly discovered links, how do I use SmartChatAI and Mastra AI?

First, run scrapedomainlinks to find the URLs. Then you can pass those findings into a knowledge base tool like addwebsitetoknowledgebase for the agent to act upon.

Q: What should I do if my bot needs access to old conversations with SmartChatAI and Mastra AI?

Use getbotchathistory. This pulls out all previous message exchanges, giving your automated workflow the necessary context to make smart decisions.

Q: Can I list every bot my system has created with SmartChatAI and Mastra AI?

Yes. The listaichatbots tool lets you see all the bots configured on your account at a glance. It's a good inventory check before deployment.

Build reliable, resilient AI workflows for Mastra AI with built-in failure handling using this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect SmartChatAI MCP to Mastra AI

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

GDPR Included with Plan

Setup SmartChatAI with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Executing Complex Workflows

Mastra AI needs reliability. You can chain actions together by calling `message_ai_chatbot` and then immediately following up with other tools. This simulates a workflow that handles multiple steps, which is key for complex automation.

Ingesting Knowledge from Multiple Sources

Don't just use one source. You can teach the bot using `add_pdf_to_knowledge_base` if you have a document, or use `add_website_to_knowledge_base` for external data. This makes sure your agent has comprehensive context.

Managing Bot Lifecycle and Details

Before running anything, check the bot's status with `check_api_health`. You can also list all bots using `list_ai_chatbots` or get specific details on one with `get_chatbot_details`. This control is crucial for stable deployments.

Setup guide

Set up SmartChatAI 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 SmartChatAI 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: "smartchatai-mcp-client",
  servers: {
    "smartchatai-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by SmartChatAI. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect SmartChatAI now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about SmartChatAI MCP in Mastra AI

Mastra AI's workflow engine handles retries and failures automatically. When integrating the MCP Server, you rely on its stability to move from one step to the next without manual intervention.

First, run `scrape_domain_links` to find the URLs. Then you can pass those findings into a knowledge base tool like `add_website_to_knowledge_base` for the agent to act upon.

Use `get_bot_chat_history`. This pulls out all previous message exchanges, giving your automated workflow the necessary context to make smart decisions.

Yes. The `list_ai_chatbots` tool lets you see all the bots configured on your account at a glance. It's a good inventory check before deployment.

The server manages user profiles and chat history, which are handled by `get_authenticated_user_profile` and the conversation transcripts stored in the bot's memory.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript