13 tagged fine-tuning, measured the same way as everything else here.
Browse within: LLM 10agents 6incident-response 6
MCP server Claude CodeCodexCursor +2
MCP server "tuneforge" as configured in JustVugg/tuneforge. Launched with tuneforge. Needs 3 environment variables to run.
cerebrixos-org/tuning-engines-cli
MCP server Claude CodeCodexCursor +2
Tuning Engines CLI, MCP server, and Python agent runtime adapters for governed model, agent, skill, and MCP workflows. Fine-tune open-source LLMs, run inference, manage datasets/evaluations, and connect LangGraph or Temporal while Tuning Engines handles p. Runs locally from the tuningengines-cli npm package. Needs 1…
MCP server Claude CodeCodexCursor +2
One of 3 in server.json
Model-agnostic AI agent for first-line production-incident triage; read-only evidence tools exposed as MCP servers. Runs locally from the quellgeist Python package. Needs 1 environment variable to run.
MCP server Claude CodeCodexCursor +2
MCP server "speed-to-lead-agent" as configured in OmateLabs/speed-to-lead-agent. Runs locally from the speed-to-lead-agent Python package.
MCP server Claude CodeCodexCursor +2
Train a LoRA voice adapter for pocket-tts and keep the result on your own disk, not an API subscription. Runs locally from the ownvoice-cli Python package.
MCP server Claude CodeCodexCursor +2
Manage your Onde Inference account and models: apps, model catalog, fine-tuned GGUF deploys. Runs locally from the @ondeinference/cli npm package.
MCP server Claude CodeCodexCursor +2
MCP server "fine-tuning-os" as configured in Casius999/fine-tuning-os. Runs locally from the fine-tuning-os Python package.
MCP server Claude CodeCodexCursor +2
MCP server "tool-smith" as configured in ganlin770/tool-smith. Runs locally from the tool-smith Python package.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: