Mistral AI Connector for AI agents.
10 live capabilities
Access European LLM inference and batch processing from your favorite AI client.
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Why people use Mistral AI
Mistral AI for Automated Content Moderation
This Connector lets your agent handle the heavy lifting. You can ask it to run moderate on a batch of text, and it returns safety scores for violence, hate, and more. It turns a manual chore into a background task.
What Vinkius changes
You get a direct line to Mistral's model family without managing separate API calls.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Scaling product descriptions
A developer needs to generate 10,000 product descriptions and uses create_batch to do it cheaply and efficiently.
- Real-world use case 02
Automated safety filtering
A content team wants to filter out hate speech and uses moderate to check every comment before it gets posted.
- Real-world use case 03
Model capability auditing
An ML engineer is testing different models and uses list_models to see which one has the best context window for their data.
Complete set · 10capabilities
The complete Mistral AI capability set.
These are the exact actions your AI can choose when you ask it to work with Mistral AI.
01—04
4 capabilities in this set.
Part of 10 available through Mistral AI.
- 01 Capability
Chat completion
Generate text using Mistral models
- 02 Capability
List models
See every Mistral model available to your account along with its context window. This helps you discover models.
- 03 Capability
Analyze sentiment
Analyze text sentiment
- 04 Capability
Summarize text
Summarize long documents
05—07
3 capabilities in this set.
Part of 10 available through Mistral AI.
- 05 Capability
Translate text
Translate text between languages
- 06 Capability
Fix grammar
Correct grammar and spelling
- 07 Capability
Create embeddings
Generate vector embeddings
08—10
3 capabilities in this set.
Part of 10 available through Mistral AI.
- 08 Capability
Explain code
Explain logic in code
- 09 Capability
Extract entities
Extract data as JSON
- 10 Capability
Generate code
Write code snippets
Set up in minutes
One URL. Then ask Mistral AI to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Mistral AI from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_DiLO9sALvzBLtPCvHvpEl9MvzgvDgoveKQ7OqBuA/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Mistral AI, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Mistral AI for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_DiLO9sALvzBLtPCvHvpEl9MvzgvDgoveKQ7OqBuA/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Mistral AI URL.
- Step 03
Save and start
Save the connection and enable Mistral AI in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"mistral-ai": {
"url": "https://edge.vinkius.com/vk_preview_DiLO9sALvzBLtPCvHvpEl9MvzgvDgoveKQ7OqBuA/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Mistral AI
Open Agent mode in chat and ask: "Using Mistral AI, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"mistral-ai": {
"url": "https://edge.vinkius.com/vk_preview_DiLO9sALvzBLtPCvHvpEl9MvzgvDgoveKQ7OqBuA/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Mistral AI
Ask Copilot: "Using Mistral AI, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"mistral-ai": {
"url": "https://edge.vinkius.com/vk_preview_DiLO9sALvzBLtPCvHvpEl9MvzgvDgoveKQ7OqBuA/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Mistral AI
Open Cascade and ask: "Using Mistral AI, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"mistral-ai": {
"url": "https://edge.vinkius.com/vk_preview_DiLO9sALvzBLtPCvHvpEl9MvzgvDgoveKQ7OqBuA/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Mistral AI
Ask Cline: "Using Mistral AI, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add mistral-ai --transport http "https://edge.vinkius.com/vk_preview_DiLO9sALvzBLtPCvHvpEl9MvzgvDgoveKQ7OqBuA/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Mistral AI
Ask Claude: "Using Mistral AI, show me...". 10 tools are ready
Where the request belongs
Work Mistral AI can move forward.
This is for developers and engineers who need to move beyond simple chat and into production-grade LLM workflows, specifically those handling high-volume data or safety-critical content.
ML Engineer
They use this to run thousands of prompts as batch jobs and monitor their progress without writing custom scripts.
Content Moderator
They use the moderation capabilities to automatically score user-generated content for safety before it goes live.
App Developer
They use it to quickly swap between Mistral's different models based on the specific task, like coding or fast inference.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsMistral AI (Frontier LLMs & Embeddings)
Manage AI inference via Mistral. execute chat completions, generate RAG embeddings, and audit frontier models.
OpenAI
Use GPT-4o, DALL-E 3, embeddings, fine-tuning, and moderation as capabilities inside your AI agent workflows.
Gradient AI (LLM API & Finetuning)
Access powerful LLMs, fine-tune models on your own data, and generate embeddings directly through your AI agent.
Eden AI
Access 100+ AI models through a single API. route LLMs, generate embeddings, and execute specialized AI tasks like OCR and translation.
Mistral AI
Build with European open-weight language models that deliver strong reasoning, multilingual capability, and efficient inference.
DeepInfra (Serverless LLM Inference)
Run top-tier LLMs, image generation, and embeddings via DeepInfra's serverless infrastructure directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep Mistral AI connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Mistral AI.
The practical details behind the request, access and result.
Can I use the Mistral AI MCP with Cursor?
Yes, you can connect this Connector to Cursor or any other MCP-compatible client like Windsurf or VS Code to access Mistral's models directly.
Does the Mistral AI MCP support large-scale batch processing?
Yes, it allows you to submit large sets of prompts as batch jobs, which is ideal for high-volume tasks like data extraction or summarization.
How do I get my Mistral AI API key for the Connector?
You can get your API key directly from the Mistral AI dashboard. Once you have it, just paste it into your Connector configuration.
Can I use Mistral AI MCP for generating vector embeddings?
Yes, the Connector includes a dedicated capability to convert text into vector embeddings, which you can use for building semantic search or similarity checks.
Is the Mistral AI MCP good for content moderation?
It's great for that. You can have your agent automatically score text for categories like hate speech, violence, and self-harm to keep your platform safe.
How do I manage my uploaded files with the Mistral AI MCP?
You can use the Connector to list all your uploaded files and delete specific ones you no longer need, helping you keep your Mistral storage organized.
Can I switch between different Mistral models using this Connector?
Yes, you can easily switch between models like Mistral Large for complex logic and Codestral for coding tasks by just asking your agent.
How do I get a Mistral AI API Key?
Log in to the Mistral Console, go to API Keys in your workspace settings, click Create new key and copy it immediately. You'll need to set up billing in the admin portal first.
What models are available?
Use the list_models capability to see all available Mistral models. Key models include mistral-large-latest (most capable), mistral-small-latest (efficient), codestral-latest (code specialist), and mistral-embed for embeddings. Each has different context windows, capabilities and pricing.
Can I send multi-turn conversations?
Yes! Pass a messages array with alternating 'user', 'assistant' and 'system' roles. Each message has a 'role' and 'content' field. Mistral will continue the conversation based on the full message history.
Can I moderate content for safety?
Yes! Use the moderate capability with text input. It returns safety scores for categories including sexual, hate, violence, self-harm, criminal and other harmful content. This is useful for filtering user-generated content before processing.
Which models can I access?
Access all available endpoints including mistral-large-latest, mistral-small-latest, open-mixtral-8x22b, and mistral-embed.
How does Mistral authentication work?
Mistral requires an API Key sent as a Bearer token against api.mistral.ai/v1.
Can I generate vector embeddings?
Yes. Use the mistral-embed model to generate 1024-dimensional embeddings for your text data.
One connection away
Give your agent a direct line to Mistral AI.
Connect Mistral AI once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available