"p5.js" matching MCP servers:

Enables AI assistants to analyze and summarize YouTube videos by extracting captions, subtitles, and comprehensive metadata including title, description, and duration in multiple languages.

An MCP server that delegates reading of files or long context to a cheap model, returning a tight answer to save the orchestrator's context window.

Enhances and cleans raw prompts using AI to make them more clear, actionable, and effective. Provides quality assessment, suggestions, and supports both general and code-specific optimization modes.

A lightweight tool that uses Mistral AI running locally to generate structured GitHub pull request descriptions from git diffs.

Enables LLMs to interact with YouTube videos by fetching transcripts, summarizing content, and answering questions based on video context.

Self-hosted ML inference MCP server providing embeddings and summarization tools using sentence-transformers and Ollama, with low-latency preloaded models and API-key authentication.