Mistral MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Mistral MCP Serverchat with mistral large model"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Mistral MCP Server
A comprehensive MCP (Model Context Protocol) server providing full access to the Mistral AI API. This server enables AI assistants like Claude to interact with all Mistral AI capabilities including chat completion, embeddings, fine-tuning, agents, OCR, audio transcription, and more.
Features
Chat & Completion
Chat Completion - Full chat with function calling, JSON mode, vision support
FIM Completion - Fill-in-the-middle code completion with Codestral
Embeddings - Generate text embeddings for semantic search
Agents Completion - Run completions with pre-configured agents
Model Management
List all available models with capabilities
Get detailed model information
Delete fine-tuned models
Update, archive, and unarchive fine-tuned models
File Management
Upload files for fine-tuning, batch processing, or OCR
List, download, and delete files
Generate signed URLs for file access
Fine-Tuning
Create fine-tuning jobs with customizable hyperparameters
Monitor job status and progress
Support for dry-run validation
Cancel and start jobs
Batch Processing
Create batch jobs for bulk API calls
Monitor job progress and status
Support for chat, embeddings, and FIM endpoints
Media Processing
OCR - Extract text from documents and images
Content Moderation - Check text and chat for safety issues
Classification - Classify text with fine-tuned classifiers
Audio Transcription - Transcribe audio with Voxtral
Agents & Conversations (Beta)
Create and manage agents with custom instructions
Manage conversations with agents
Full conversation history support
Libraries (Beta)
Create document libraries for RAG
Upload and manage documents
Share libraries with users and workspaces
Related MCP server: Meshy MCP Server
Installation
# Clone the repository
git clone https://github.com/firstcastsolutions/mistral-mcp-server.git
cd mistral-mcp-server
# Install dependencies
npm install
# Build the project
npm run buildConfiguration
Set the required environment variable:
export MISTRAL_API_KEY="your-mistral-api-key"Usage
With Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"mistral": {
"command": "node",
"args": ["/path/to/mistral-mcp-server/dist/index.js"],
"env": {
"MISTRAL_API_KEY": "your-api-key"
}
}
}
}Standalone
export MISTRAL_API_KEY="your-api-key"
npm startAvailable Tools (40+)
Chat completion, FIM, embeddings, agents
Model management (list, get, delete)
File management (upload, download, delete)
Fine-tuning jobs
Batch processing
OCR, moderation, classification
Audio transcription
Agents and conversations (Beta)
Document libraries (Beta)
License
MIT - First Cast Solutions LLC
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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