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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Mistral AI with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Manage AI inference via Mistral. execute chat completions, generate RAG embeddings, and audit frontier models.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 7 capabilities

The complete Mistral AI capability set.

These are the exact actions your AI can choose when you ask it to work with Mistral AI.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through Mistral AI.

  1. 01

    List models

    List valid Mistral AI models locally enabled/available

  2. 02

    Fim completion

    G. codestral) completing logic missing between a prompt prefix and a suffix. Generate Fill-in-the-Middle (FIM) logical code completion

  3. 03

    Get model

    Get static specifics for a specified Mistral AI model ID

  4. 04

    Agent completion

    Trigger autonomous deployed Mistral Agent workflows

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through Mistral AI.

  1. 05

    Chat completion

    Perform Mistral AI conversational chat completion inference

  2. 06

    Generate embeddings

    Calculate numerical text embeddings using models explicitly

  3. 07

    Moderate content

    Trigger direct safety classification filtering constraints

Observed, not estimated

791ms average. Fast in production.

Mistral AI is checked daily against the live service.

Daily averagePeak 1018ms
Aug 24Today
Fastest day
690ms
Slowest day
1018ms
14-day trend
Improving-10%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Mistral AI, so you can see the experience inside your AI.

It does not authenticate your account with Mistral AI. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Mistral AI Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_RItYCqkPVcmlLP5CJAIJqs2Q9bmQGkYaBIA6d31x/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Mistral AI capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "mistral-ai-frontier-llms-embeddings-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_RItYCqkPVcmlLP5CJAIJqs2Q9bmQGkYaBIA6d31x/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Mistral AI owners ask.

  • 01

    Can I use specialized models for code completion through my agent?

    Yes. Use the fim_completion capability with models like 'codestral'. This allows you to provide a code prefix and suffix, and Mistral will generate the logical code missing in the middle, perfect for high-speed development workflows.

  • 02

    How do I generate embeddings for a semantic search system?

    The generate_embeddings capability allows your agent to calculate numerical vectors for any input text using the 'mistral-embed' model. These vectors can then be stored in a vector database to power semantically aware retrieval (RAG).

  • 03

    Can my agent trigger safety checks on untrusted content?

    Absolutely. Use the moderate_content capability with the 'mistral-moderation-latest' model. Your agent will analyze the input text against Mistral's safety policies and return flags identifying if the content is toxic or unsafe.

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