How to Use the Mistral AI MCP in Cursor

Q: Can Cursor use Mistral AI models to moderate code comments?

Yes. The agent calls the moderate tool to analyze text strings for safety scores, helping you build automated content moderation pipelines directly in your editor.

Q: How do I upload and manage datasets with Mistral AI in Cursor?

Use listfiles to view your current remote files. You can manage your fine-tuning or batch datasets and use deletefile to remove them when your work is finished.

Q: What models can I access with this setup?

The listmodels tool returns all active Mistral models. This includes specialized coding models like Codestral and general-purpose models like Mistral Large.

Run Mistral AI tools right inside Cursor to build, test, and moderate your code against live models.

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Connect Mistral AI MCP to Cursor

Create your Vinkius account to connect Mistral AI 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 with Cursor

Ask AI about this MCP

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Claude

Perplexity

Chat with Mistral Models in the Cursor Composer

The `chat` tool connects Cursor directly to Mistral's API, giving your editor the ability to generate code using Codestral or Mistral Large. Your agent checks available options with `list_models` and writes code based on active model specs. This lets you build and debug applications with alternative models without leaving your file tree. You feed current file contents to the model and get ready-to-run code blocks written directly into your open tabs.

Generate Vector Embeddings for Local Files

The `embeddings` tool converts your codebases and documentation into high-dimensional vectors directly from the editor. Your agent passes strings to this tool to generate representations for semantic search or retrieval-augmented generation. It saves you from writing manual API wrappers just to test vector storage. You can instantly run similarity checks against your local codebase while writing your database integration logic.

Run the Mistral AI MCP Server for Batch Processing

The `create_batch` tool lets you offload massive evaluation tasks by queueing up JSONL files directly from your workspace. While the job runs, you track progress with `list_batches` and `get_batch` right inside the Cursor chat. If you realize a massive batch run has a bug, the `cancel_batch` tool stops execution instantly to save on API costs. It keeps your development cycle fast and prevents runaway cloud bills.

Setup guide

Set up Mistral AI 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 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 transactions." If the MCP tools are loaded correctly, Cursor will call the Mistral AI tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "mistral-ai-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 MCP in Cursor

Create or edit your mcp.json file in your project root or global directory. Add the configuration under the mcpServers block with your Vinkius endpoint token.

Yes. The agent calls the `moderate` tool to analyze text strings for safety scores, helping you build automated content moderation pipelines directly in your editor.

Use `list_files` to view your current remote files. You can manage your fine-tuning or batch datasets and use `delete_file` to remove them when your work is finished.

The `list_models` tool returns all active Mistral models. This includes specialized coding models like Codestral and general-purpose models like Mistral Large.

Your code payloads and file metadata are transmitted directly to Mistral's API via secure TLS connections. Vinkius executes the server in an ephemeral sandbox, ensuring your source code is never cached or stored.

Use it with your favorite AI tools

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

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