"A server that generates videos from prompts using related videos or images" matching MCP servers:

Enables generating images through SmartAPI's image generation endpoint directly from Codex, saving files locally.

A Model Context Protocol server for managing prompt templates as markdown files with YAML frontmatter, allowing users and LLMs to easily add, retrieve, and manage prompts.

A Model Context Protocol server that generates prompts based on Git repository content, including a command to generate PR descriptions from diffs.

A fully working MCP server built from scratch in plain Node.js, implementing tools, resources, prompts, notifications, and sampling according to the MCP specification, designed to connect to Claude Desktop or any MCP client.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

A tutorial demonstrating how to build reusable, parameterized MCP prompt templates using FastMCP, including patterns for research, summarization, and code review.

Lightweight MCP server for providing user prompts defined in Markdown with argument support.

A personal MCP bridge that lets ChatGPT drive a local Codex CLI, translating instructions into Codex app-server threads and returning compact summaries of what Codex did.

Enriches Claude with tools to generate brand-consistent images using OpenAI's gpt-image-2 and upload them directly to Notion pages.

Model Context Protocol server exposing system prompt files and summaries.

A simple MCP server for utilizing prompts defined in YAML files.

Enables local image generation through a ChatGPT web account, downloading original files with paths, sizes, and checksums while keeping responses compact. Supports batched requests and resumable recovery without embedding images in model context.

MCP server for uploading local images to Sanity CMS. Enables AI assistants to upload files from your filesystem directly into Sanity as image assets.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

Exposes OpenAI's gpt-image-2 and gpt-image-1.5 to Claude Code as a single tool for generating, editing, or composing images with automatic model selection.

Automatically generates and manages a prompts system for software projects, enabling persistent context for AI coding assistants through project scanning, requirement clarification, and module tracking.

MCP server for managing AI prompts with CRUD operations, categorization, and tagging. Enables users to store, organize, and retrieve their favorite prompts efficiently.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

Enables LM Studio Bionic to perform multimodal image search and tagging by bridging to a local Find Images MCP server, including preview download and scratchpad registration for further editing or processing.