Awesome GitHub RepositoriesModel Context Protocols

Crawl4AI is an AI-powered web crawling and data extraction engine designed to transform complex web content into structured formats. It functions as a headless browser orchestrator, enabling the navigation of dynamic websites, the execution of custom scripts, and the capture of visual assets like screenshots and PDFs. By integrating language models directly into the extraction workflow, the system converts raw HTML into clean, structured data or Markdown files optimized for downstream ingestion. The platform distinguishes itself through a distributed, self-hosted infrastructure that manages l

LocalStack is an infrastructure development environment that provides a local simulation of cloud services. By leveraging container-orchestrated service lifecycles, it allows developers to build, test, and debug cloud-native applications on their local machines without requiring remote connectivity or incurring cloud provider costs. The platform distinguishes itself through sophisticated traffic redirection and request routing, which intercept cloud service calls at the network layer and redirect them to local handlers. This enables seamless integration with existing development workflows, al

This project is an LLM financial agent framework and multi-agent orchestration system designed to execute complex investment banking and wealth management workflows. It provides a financial data integration layer using a standardized context protocol to connect autonomous agents to real-time market data and third-party feeds. The system utilizes a multi-agent architecture that coordinates specialized worker agents through a steering event bus to handle task delegation and secure handoffs. It includes an enterprise AI deployment manifest for provisioning agent personas, prompts, and skill sets

Screenpipe is a local-first platform designed to record, index, and analyze desktop activity. By capturing screen, audio, and keyboard input, it creates a comprehensive and searchable history of computer usage. The system functions as an activity recorder and automation framework, providing a persistent, context-aware memory that allows artificial intelligence agents to observe and interact with local desktop environments. The platform distinguishes itself through a privacy-focused architecture that processes all data locally. It utilizes on-device computer vision and speech recognition to tr

This project is an AI-powered code reviewer and static analysis server that identifies low-quality files and generates automated critiques. It functions as an automated quality scoring tool that evaluates source code structure and complexity through local parsing. The system utilizes a standardized context protocol to stream analysis results to AI agents and editors. It integrates large language models to produce automated reviews and suggestions for improvement based on quantitative quality metrics. The tool includes a weight-based scoring engine and an asynchronous analysis pipeline for pr

This is a software development kit for integrating the Model Context Protocol into Java applications. It serves as a framework for building AI servers and communication layers that exchange prompts, resources, and tool definitions between AI clients and servers. The SDK provides a transport-agnostic communication layer, allowing bidirectional data exchange over standard I/O, HTTP, or Server-Sent Events. It includes a generative AI resource manager for exposing structured data and prompt templates, and a standardized interface for implementing protocol clients and servers. The project covers

This project provides a comprehensive framework for building, deploying, and orchestrating autonomous agents within a decentralized network. It serves as a collection of patterns and examples for developing intelligent software entities capable of performing complex tasks, making decisions, and interacting with other agents to achieve shared goals. The framework distinguishes itself through its focus on multi-agent orchestration and decentralized communication. It enables the coordination of specialized agent teams that collaborate on workflows through structured messaging protocols, allowing