How to Use the Mistral AI (Frontier LLMs & Embeddings) MCP in Cursor

Q: How do I configure Mistral AI (Frontier LLMs & Embeddings) for Cursor?

Create a .cursor/mcp.json file in your root folder. Define the server settings there so your project can access the Mistral tools immediately.

Q: Can I use Mistral AI (Frontier LLMs & Embeddings) in Cursor globally?

You can set up a global config file at /.cursor/mcp.json. This makes the tools available in every project you open.

Q: Is there a way to verify model availability in Cursor?

Run listmodels via the command palette. It will show you every model ID currently available for your specific API connection.

Inject Mistral AI (Frontier LLMs & Embeddings) into your Cursor editor to generate code and manage model completions.

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Connect Mistral AI (Frontier LLMs & Embeddings) MCP to Cursor

Create your Vinkius account to connect Mistral AI (Frontier LLMs & Embeddings) to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Mistral AI (Frontier LLMs & Embeddings) with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Code with Mistral AI in Cursor

Use `fim_completion` to write code that fits between your existing prefix and suffix. The AI fills in the gaps based on your current file state. This is faster than writing boilerplate by hand. You get code that follows your existing logic patterns perfectly.

Autonomous agent workflows in Cursor

Trigger `agent_completion` to let the model handle multi-step tasks across your codebase. It acts as an extension of your own coding process. Your agent can now execute logic that requires external knowledge. It writes real code into your project files.

Audit model outputs in Cursor

Integrate `moderate_content` to verify that the code generated by your AI client is safe. It flags potential issues before you commit your changes. This keeps your codebase clean. You avoid dangerous or unwanted patterns creeping into your source files.

Setup guide

Set up Mistral AI (Frontier LLMs & Embeddings) MCP in Cursor

Prerequisites

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

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

Add the Mistral AI (Frontier LLMs & Embeddings) 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

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

Verify the connection

Ask Cursor something like "List my recent Mistral AI (Frontier LLMs & Embeddings) transactions." If the MCP tools are loaded correctly, Cursor will call the Mistral AI (Frontier LLMs & Embeddings) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "mistral-ai-frontier-llms-embeddings-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 Mistral AI. 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 Mistral AI (Frontier LLMs & Embeddings) MCP in Cursor

Create a `.cursor/mcp.json` file in your root folder. Define the server settings there so your project can access the Mistral tools immediately.

Yes, enable Agent mode in your chat window. This allows the AI to call tools like `agent_completion` and `chat_completion` to complete your work.

You can set up a global config file at `~/.cursor/mcp.json`. This makes the tools available in every project you open.

The server reads your snippet and returns the completion. It only processes the specific lines you provide, ensuring your private code remains under your control.

Run `list_models` via the command palette. It will show you every model ID currently available for your specific API connection.

Use it with your favorite AI tools

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

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