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MCP servers tagged fine-tuning
63 live MCP servers tagged "fine-tuning", ranked by trust score. Tags come from package metadata and repository topics, so this list covers servers across every category that work with fine-tuning.
Fine Tuning Os
Zero-Data fine-tuning operations MCP server - 64 tools for the full LLM fine-tuning delivery lifecycle, callable by Claude Code
GroundCortex
Continuous LoRA fine-tuning as a local service. Watches source files for changes, retrains on change, and hot-swaps the adapter into a live OpenAI-compatible inference endpoint. P…
Awesome AI Learning
A curated collection of high-quality learning resources for AI, covering Prompt Engineering, AI Agents, MCP, Skills, Claude Code, and AGI.
Intro To Agentic AI MCP Unsloth
An introduction to agentic AI, MCP server development, and SLM fine-tuning - in easy to follow Jupyter notebooks.
Persona Forge
Fine-tune persona chatbots that never break character — synthetic roleplay data with judge filtering, DPO against assistant boilerplate, QLoRA recipes, and a local RAG loremaster…
Trilha Engenharia Ia Aplicada
Currículo autoral e teoria-primeiro de Engenharia de IA Aplicada — 104 lições em 17 módulos, do zero (álgebra linear, ML) até LLMs, RAG, agentes e MCP, com exercícios e soluções…
Vermeil
Vermeil is personal assistant just like Jarvis
AI Knowledge Hub
The world's best open-source AI & LLM engineering resources curated, annotated, and organized. Covers RAG, agents, fine-tuning, prompt engineering, vector databases, transformers,…
Refact AI
Refact.ai — independent third-party profile of a public API surface, by API Evangelist. Refact.ai is an open-source, local-first AI coding assistant and autonomous software-engine…
AI Engineer Frontier
🔭 AI Engineer Track 3 of 4 — open-weight frontier models, Hermes and the Nous stack, post-training, GRPO, inference engineering, MCP. ~88 hours, 9 phases.
LLM Based Generative AI
[Course - Fall 2025] LLM-based Generative AI
Edge MCP Caller
270M specialist baking MCP tool knowledge into weights: 99.5% accuracy, 32x fewer prompt tokens
Springofwinds Datasets
Synthetic datasets for MCP agent trajectories, function calling, and regulatory CoT