The request names NVIDIA's NV-Generate-CTMR MR-Brain finetune action, which is indexed under NVIDIA 1 and is used for finetuning the MR-Brain v1 model on T1, T2, FLAIR, SWI, or MRA NIfTI datalists. Alternatives with fine-tuning actions are listed below, though none offer this specific MR-brain model.
- 1
NVIDIAnvidia.comverified and signed
Its indexed action nv-generate-mr-brain-finetune finetunes NV-Generate-CTMR MR-Brain v1 for T1, T2, FLAIR, SWI, or MRA data from a NIfTI datalist 1. Its official doors include an MCP server and CUDA docs.
official:MCP server · NVIDIA CUDA Docs+84 community tools built for it
for agents: nv-generate-mr-brain-finetune · nv-generate-mr-brain · nv-generate-vae-finetune
- 2
OpenAI APIopenai.comverified and signed
Its createFineTune action creates a job that fine-tunes a specified model from a given dataset, with retrieveFineTune and listFineTunes to track jobs 4.
official:MCP server · mcp-extensionsAPI · OpenAI APISDK · openailibrary · OpenAICLI · openai-whisper+177 community tools built for it
for agents: createFineTune · retrieveFineTune · listFineTunes
- 3
Microsoftmicrosoft.comfound in code, not yet checked
Its finetune action fine-tunes a model using LoRA/QLoRA and returns a job_id to poll with get_job_status() 3.
official:MCP server · Playwright MCP ServerSDK · markitdownlibrary · windows-sysCLI · playwright-mcppackage · Azure DevOps (ADO)+151 community tools built for it
for agents: finetune · optimize · generate_workspace_lineage
- 4
Hugging Facehuggingface.coverified and signed
Its huggingface-vision-trainer action trains and fine-tunes vision models for object detection and image classification 6.
official:MCP server · @huggingface/mcp-clientSDK · huggingface-hubCLI · text-embeddings-inferencerepository · pwc-cliskill · hf-cli+23 community tools built for it
for agents: huggingface-vision-trainer · create_image · hf-cloud-serving-image-selection
- 5
Googlegoogle.comfound in code, not yet checked
Its agent-platform-tuning action fine-tunes open models or Gemini models using Agent Platform infrastructure 10.
official:MCP server · mcp-securityAPI · Travel Partner APISDK · brotlilibrary · zerocopyCLI · googletest+1,236 community tools built for it
for agents: generate_images · agent-platform-tuning · generate_videos_omni
Sources
- 1Brev.dev Consolebrev.nvidia.com · read 2026-10-29
- 3Microsoft – AI, Cloud, Productivity, Computing, Gaming & Appsmicrosoft.com · read 2026-10-29
- 4babysit-pr — openai/codexskills.sh · read 2026-10-29
- 6Hugging Face – The AI community building the future.huggingface.co · read 2026-10-29
- 10Googlegoogle.com · read just now
For agents: the 10 actions behind this answer
nv-generate-mr-brain-finetune · nv-generate-mr-brain-finetune verified and signed
Used for finetuning NV-Generate-CTMR MR-Brain v1 for T1, T2, FLAIR, SWI, or MRA data from a NIfTI datalist. Not for clinical or production data approval.
nano-banana-pro-openrouter · nano-banana-pro-openrouter verified and signed
Generate or edit images via OpenRouter with the Gemini 3 Pro Image model. Use for prompt-only image generation, image edits, and multi-image compositing; supports 1K/2K/4K output.
finetune · olive found in code, not yet checked
Fine-tune a model using LoRA/QLoRA. Returns a job_id — use get_job_status() to poll.
createFineTune · OpenAI API verified and signed
Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn m
hinting · typing-extensions verified and signed
huggingface-vision-trainer · huggingface-vision-trainer verified and signed
Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. C
black-forest-labs/flux-schnell-lora · black-forest-labs/flux-schnell-lora verified and signed
The fastest image generation model tailored for fine-tuned use
aws-ai-ml · aws-ai-ml verified and signed
Selects, deploys, and customizes AI models on Amazon SageMaker. Training or Processing jobs, fine-tuning (SFT/DPO/RLVR/RLAIF), model selection, dataset preparation, evaluation, SageMaker or Bedrock deployment, inference optimization and endpoint diagnostics. Covers the full lifecycle from planning t
add · gpt-rag-mcp found in code, not yet checked
generate_images · project-montage found in code, not yet checked
Generates images on the provided visual description or Edits reference images by adding characters or modifying it based on a visual description using the Nano Banana model. Supports parallel generation of multiple requests. This tool can be used to generate first-frame images for video generation.
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.