mistral-ai-automation

name	Mistral AI Automation
description	Automate Mistral AI operations -- manage files and libraries, upload documents for fine-tuning, batch processing, and OCR, track fine-tuning jobs, and build RAG pipelines via the Composio MCP integrat
category	Development & Code Tools
source	composio
tags	["api","pdf","json","cli","mcp","automation","ai"]
url	https://github.com/ComposioHQ/awesome-claude-skills/tree/master/mistral-ai-automation

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.

Tool: MISTRAL_AI_CREATE_LIBRARY
Inputs:
  - name: string (required) -- e.g., "Project Documents"
  - description: string (optional)

4. Upload Documents to a Library

Use MISTRAL_AI_UPLOAD_LIBRARY_DOCUMENT to add documents to a library for RAG retrieval by Mistral AI agents.

Tool: MISTRAL_AI_UPLOAD_LIBRARY_DOCUMENT
  - Requires library_id and file details
  - Call RUBE_GET_TOOL_SCHEMAS for full input schema before use

5. List Libraries and Download Files

Use MISTRAL_AI_LIST_LIBRARIES to discover available document libraries, and MISTRAL_AI_DOWNLOAD_FILE to retrieve file content.

Tool: MISTRAL_AI_LIST_LIBRARIES
  - Lists all document libraries with metadata (id, name, document counts)
  - Call RUBE_GET_TOOL_SCHEMAS for full input schema

Tool: MISTRAL_AI_DOWNLOAD_FILE
  - Downloads raw binary content of a previously uploaded file
  - Call RUBE_GET_TOOL_SCHEMAS for full input schema

6. Track Fine-Tuning Jobs

Use MISTRAL_AI_GET_FINE_TUNING_JOBS to list and filter fine-tuning jobs by model, status, and creation time.

Tool: MISTRAL_AI_GET_FINE_TUNING_JOBS
  - Supports filtering by model, status, creation time, and W&B integration
  - Call RUBE_GET_TOOL_SCHEMAS for full input schema

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Known Pitfalls

Pitfall	Detail
Fine-tune file format	Only .jsonl files are supported for fine-tuning uploads. Other formats will be rejected.
File size limit	Maximum upload size is 512 MB per file.
File object structure	MISTRAL_AI_UPLOAD_FILE requires an s3key referencing a previously stored file, not raw binary content. Use a download action first to stage files in S3.
Pagination cursors	MISTRAL_AI_LIST_FILES uses cursor-based pagination via the after parameter (file ID). Continue fetching until no more results are returned.
Library document processing	Uploaded library documents are processed asynchronously. They may not be immediately available for RAG queries after upload.
Schema references	Several tools (MISTRAL_AI_UPLOAD_LIBRARY_DOCUMENT, MISTRAL_AI_LIST_LIBRARIES, MISTRAL_AI_GET_FINE_TUNING_JOBS, MISTRAL_AI_DOWNLOAD_FILE) require calling RUBE_GET_TOOL_SCHEMAS to load full input schemas before execution.

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Quick Reference

Tool Slug	Description
MISTRAL_AI_UPLOAD_FILE	Upload files for fine-tuning, batch processing, or OCR
MISTRAL_AI_LIST_FILES	List uploaded files with pagination
MISTRAL_AI_RETRIEVE_FILE	Get metadata for a specific file by ID
MISTRAL_AI_DOWNLOAD_FILE	Download content of an uploaded file
MISTRAL_AI_CREATE_LIBRARY	Create a document library for RAG
MISTRAL_AI_LIST_LIBRARIES	List all document libraries with metadata
MISTRAL_AI_UPLOAD_LIBRARY_DOCUMENT	Add a document to a library for RAG
MISTRAL_AI_GET_FINE_TUNING_JOBS	List and filter fine-tuning jobs

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