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Vinkius runs on Cursor

How to Use the SmartChatAI MCP in Cursor

Get live API data injected into code, right where you're coding with Cursor.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

SmartChatAI MCP on Cursor AI Code Editor MCP Client SmartChatAI MCP on Claude Desktop App MCP Integration SmartChatAI MCP on OpenAI Agents SDK MCP Compatible SmartChatAI MCP on Visual Studio Code MCP Extension Client SmartChatAI MCP on GitHub Copilot AI Agent MCP Integration SmartChatAI MCP on Google Gemini AI MCP Integration SmartChatAI MCP on Lovable AI Development MCP Client SmartChatAI MCP on Mistral AI Agents MCP Compatible SmartChatAI MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Cursor

Connect SmartChatAI MCP to Cursor

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

GDPR Included with Plan

Key Capabilities

Feed Context to SmartChatAI

Stop using hardcoded stubs. You can give the AI real-time context by training it on PDFs via `add_pdf_to_knowledge_base`, or pointing it at live data with `add_website_to_knowledge_base`. The bot knows exactly what you mean. This means when your agent calls a tool, the resulting data is accurate and ready to be used in the code snippet you're writing next.

Manage SmartChatAI Bot Connections

The `list_ai_chatbots` tool lets you see every bot connected to your project. Need a specific config? Use `get_chatbot_details`. It’s all part of the MCP Server, giving you complete control over your AI ecosystem. You can also create an entirely new agent instance using `create_new_ai_bot` and define its initial purpose right in the tool call.

Run Messaging Tools with Cursor

Building a script that needs to talk to another service? Use `message_ai_chatbot`. The AI handles the back-and-forth, giving you the reply directly. If you need more data, run `scrape_domain_links` first to index all available links. This flow—scrape, message, then code—is how you write real, working software with live context.

Setup guide

Set up SmartChatAI MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the SmartChatAI MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent SmartChatAI transactions." If the MCP tools are loaded correctly, Cursor will call the SmartChatAI tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "smartchatai-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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.

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 Cursor

The unique thing here is that the AI doesn't mock the data. When a tool runs, it returns live JSON data directly into your editor context. You can then reference that real response when writing code.
Run `check_api_health`. It confirms the entire MCP Server connection is active before your agent tries to use it. You don't want a broken link in your code, right?
Yes. Use `get_bot_chat_history` to fetch conversation transcripts or grab the account profile details using `get_authenticated_user_profile`. This context feeds directly into your code logic.
It processes everything from raw text to structured conversations, including user account profiles and chat history. The tools allow you to read and act on that information in real time.
Start by calling `create_new_ai_bot`. You just need to provide a name, and optionally an initial prompt. The bot is then provisioned and ready for you to call its tools.

Start using the SmartChatAI MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for SmartChatAI. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

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