composio-community/awesome-codex-skills/mistral-ai-automation
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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 integration.
Install
npx vskill@latest install composio-community/awesome-codex-skills/mistral-ai-automationSKILL.md
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
Setup
- Add the Composio MCP server to your client:
https://rube.app/mcp - Connect your Mistral AI account when prompted (API key authentication)
- Start using the workflows below
Core Workflows
1. Upload Files to Mistral AI
Use MISTRAL_AI_UPLOAD_FILE to upload files for fine-tuning, batch processing, or OCR.
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.
3. Create Document Libraries
Use MISTRAL_AI_CREATE_LIBRARY to group documents into libraries for use with RAG-enabled Mistral AI agents.
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.
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.
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.
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. |
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 |
Powered by [Composio](https://composio.dev)
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Source
- SKILL.md in the repositoryCheckingcomposio-skills/mistral-ai-automation/SKILL.md
Popularity
- 7-day trend score
- 5
Not refreshed yet.
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