"author:Luissalet" matching MCP servers:

Enables assistants to queue and monitor local language and vision model evaluations, compare results with confidence intervals, and retrieve routing recommendations for task categories.

Enables AI agents to direct a local media studio over MCP, generating consistent characters, photocards, album art, and beat-synced music videos by orchestrating ComfyUI, ffmpeg, and Piper TTS while recording the full recipe of every asset.

Enables a local assistant to drive a full data workbench: ingest messy files, clean them with versioned and undoable steps, enforce quality rules, build charts and dashboards as code, train quick models, and ask questions of the data—all on the user's own machine.

Enables an AI assistant to build an editable slide deck from a brief and local source documents over MCP — creating decks, adding sources, generating outlines and slides, reviewing and approving slides, checking figures against sources, and exporting to PPTX, PDF, HTML or Markdown. Everything stays local, with the same tools backing the bundled UI.