Sail is a project aiming to unify stream processing, batch processing, and compute - intensive (AI) workloads. It provides an alternative to Spark SQL and Spark DataFrame APIs and supports both standalone and distributed environments.

Klavis AI is an open - source project that provides a multi - functional computing platform (MCP) for use on Slack, Discord, and web pages. It allows non - technical users to easily configure AI workflows, and developers can expand and build on it.

A modular computing platform server that provides SEC EDGAR data access and interaction for AI agents.

A project based on the mcp-server, supporting large AI models to efficiently invoke Spinq's quantum computing hardware resources. It provides one-click installation scripts for Windows and macOS, automatically detecting the Python environment and installing dependencies.

VkRunner is a Vulkan shader testing tool based on Piglit's shader_runner, aiming to support test scripts as similar as possible to Piglit's shader_test format. It supports writing shaders in GLSL or SPIR-V and provides a rich set of test commands to verify shader behavior, including drawing, computing, and probe detection functions.

A Claude multi - instance collaborative reasoning server based on the quantum field computing model, achieving enhanced AI reasoning capabilities through field consistency optimization.

A distributed federated AI service runtime system supporting edge computing, providing a standardized protocol and a secure architecture to achieve cross-organizational AI system integration

MCP-openMSX is a bridge project that connects modern AI development with retro computing (MSX systems). It provides a comprehensive control toolset for the openMSX emulator through the MCP protocol, including emulator management, media operations, BASIC programming support, debugging tools, and automation functions.

usaspending - mcp is a modular computing platform server designed to help AI agents access and interact with the USAspending.gov API, providing tools for retrieving and analyzing US government spending data.

This project demonstrates the basic client-server interaction based on the Model Context Protocol (MCP), expanding the capabilities of AI models through an independent server and providing the function of calling computing tools.

MCPy is a high-performance Minecraft server engine based on Python and Cython. It integrates scientific computing libraries and advanced optimization techniques, aiming to provide excellent performance and scalability. The project is currently in the development stage and includes core modules such as the server engine, world generation, network processing, entity system, and data persistence.

JetsonMCP is an MCP server that manages NVIDIA Jetson Nano edge computing devices through SSH connections, providing AI workload optimization, hardware configuration, and system management functions, and supporting the conversion of natural language instructions into professional operation commands.

Furikake is an easy-to-use local CLI and API tool for managing and executing MCP (Modular Computing Platform) services. It supports downloading MCP servers from GitHub, automatically detecting configuration files, providing full CLI functionality, supporting Typescript and Javascript MCPs, and planning to support Python. The tool also provides HTTP API routes, process status management (via PM2), log viewing, etc., aiming to simplify MCP management and operation.

JetsonMCP is an MCP server that helps AI assistants manage and optimize the NVIDIA Jetson Nano edge computing system through SSH connection, providing functions for AI workload deployment, hardware optimization, and system management.

Axiomatic MCP servers provide AI assistants with an advanced tool suite for scientific computing, document processing, and photonic circuit design.

Fal AI MCP Server Project