30 open-source projects similar to alichherawalla/video-overlay-kit, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
Olive is an open-source non-linear video editor and multi-track compositor designed for digital video production. It provides a desktop application for arranging, cutting, and trimming video and audio clips on a timeline to create high-resolution cinematic content. The software employs a proxy-based editing workflow, substituting high-resolution assets with low-bitrate temporary files to maintain fluid playback and scrubbing performance. This is supported by a non-destructive timeline engine that maps media clips using metadata pointers rather than modifying original source files. The system
MCP server for Todoist integration enabling natural language task management with Claude
This project is a Model Context Protocol server that functions as an automation tool for 3D design software. It acts as a bridge between creative applications and external intelligence agents, enabling users to manipulate geometry, materials, and lighting through natural language instructions. The tool distinguishes itself by providing a standardized interface for remote command execution and scene data exchange. By utilizing a protocol-based communication layer, it allows external models to query viewport status and object properties, facilitating automated decision-making and real-time scen
Exposes MCP (Model Context Protocol) server tools as native OpenClaw agent tools.
This project demonstrates the integration of AI capabilities within a Spring Boot application, utilizing the Spring AI framework.
The source of truth is docs/readme/ (one file per section, assembled in filename order). Edit the part, then run: python scripts/buildreadme.py tests/testreadme_assembly.py pins this file to the parts. -->
A TypeScript implementation of a Model Context Protocol (MCP) server that integrates with PiAPI's API. PiAPI makes user able to generate media content with Midjourney/Flux/Kling/LumaLabs/Udio/Chrip/Trellis directly from Claude or any other MCP-compatible apps.
MCP server providing AI assistants with Maven Central dependency intelligence for all JVM build tools (Maven, Gradle, SBT, Mill). Features Context7 integration for documentation support.
Zero-configuration MCP server that unifies multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through intelligent auto-discovery and standardized interface
MCP for Replicate Flux Model - A powerful tool for generating customized images and SVG assets that match specific coding vibes and aesthetic styles. Streamline your visual asset creation process with AI-powered design generation tailored for developers.
Collection of examples of how to build Agentic AI with AWS, including Model Context Protocol.
This is an MCP Server that wraps the Azure CLI, adds a nice prompt to improve how it works, and exposes it.
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This project serves as an agentic browser controller, providing a programmatic bridge that enables autonomous software agents to navigate web pages and interact with document elements. It functions as a browser automation protocol, facilitating headless browser operations and automated web interactions to perform repetitive tasks and end-to-end testing without manual human input. The system distinguishes itself by utilizing the Chrome DevTools Protocol to establish a bidirectional communication channel with the browser engine. This allows for protocol-based remote control, where external appl
This project provides a Model Context Protocol server that enables autonomous agents to interact with and manage automation workflows. It functions as an integration layer, allowing language models to discover, build, test, and deploy complex automation sequences through natural language instructions and structured schema-based communication. The platform distinguishes itself by offering granular control over automation logic, including the ability to perform surgical, incremental patches to specific workflow nodes rather than replacing entire structures. It supports multi-instance connectivi
Model Context Protocol server for Replicate's API
MCP server for the Ejentum API. 8 cognitive operations across 4 harnesses (reasoning, code, anti-deception, memory) in dynamic and adaptive modes.
This repository contains all my work related to Spring Batch:
A demonstration project showcasing the integration of Spring AI's Model Context Protocol (MCP) server with a cryptocurrency price API service. This project allows AI models to retrieve real-time cryptocurrency information through a standardized interface.
This project is a Model Context Protocol server that provides a standardized interface for connecting host applications to external data sources and service APIs. It functions as a middleware component, exposing repository-related functionality as a set of discoverable tools that can be invoked dynamically by large language models to facilitate context-aware reasoning and task execution. By bridging host environments with external platforms, the server enables artificial intelligence models to access real-time repository information, supporting automated workflows and improved accuracy in gen
Figma-Context-MCP is a design-to-code automation tool that functions as a server for the Model Context Protocol. It acts as a bridge between visual design platforms and development environments, enabling large language models to access design file metadata and component properties directly. The project distinguishes itself by providing a standard-compliant interface that translates design specifications into structured data. By extracting layout and styling information, it facilitates the programmatic conversion of design tokens and component requirements into actionable code structures. Thi
This MCP server provides image generation capabilities using the Replicate Flux model.
Official DINO-X Model Context Protocol (MCP) server that empowers LLMs with real-world visual perception through image object detection, localization, and captioning APIs.
A high-performance image compression microservice based on MCP (Modal Context Protocol)
A comprehensive Model Context Protocol (MCP) server for Apache Druid that provides extensive tools, resources, and AI-assisted prompts for managing and analyzing Druid clusters. Built with Spring Boot and Spring AI, this server enables seamless integration between AI assistants and Apache Druid through standardized MCP protocol.