Mistral AI Automation

Automate your Mistral AI workflows -- upload files for fine-tuning, batch processing, and OCR, manage document libraries for RAG-enabled agents, list and retrieve files, track fine-tuning jobs, and integrate Mistral AI into cross-app data pipelines.

Toolkit docs: composio.dev/toolkits/mistral_ai

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Setup

1. Add the Composio MCP server to your client: https://rube.app/mcp
2. Connect your Mistral AI account when prompted (API key authentication)
3. Start using the workflows below

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Core Workflows

1. Upload Files to Mistral AI

Use MISTRAL_AI_UPLOAD_FILE to upload files for fine-tuning, batch processing, or OCR.

Tool: MISTRAL_AI_UPLOAD_FILE
Inputs:
  - file: object (required)
    - name: string -- destination filename (e.g., "training_data.jsonl")
    - mimetype: string -- MIME type (e.g., "application/pdf", "application/jsonl")
    - s3key: string -- S3 key of a previously downloaded/stored file
  - purpose: "fine-tune" | "batch" | "ocr" (default "fine-tune")

Limits: Maximum file size is 512 MB. For fine-tuning, only .jsonl files are supported.

2. List and Retrieve Files

Use MISTRAL_AI_LIST_FILES to browse uploaded files with pagination, and MISTRAL_AI_RETRIEVE_FILE to get metadata for a specific file.

Tool: MISTRAL_AI_LIST_FILES
Inputs:
  - limit: integer (optional, min 1)
  - after: string (file ID cursor for next page)
  - order: "asc" | "desc" (default "desc")

Tool: MISTRAL_AI_RETRIEVE_FILE
Inputs:
  - file_id: string (required) -- UUID obtained from List Files

3. Create Document Libraries

Use MISTRAL_AI_CREATE_LIBRARY to group documents into libraries for use with RAG-enabled Mistral AI agents.