context-space: Context Space is the first context engineering infrastructure designed to boost AI agent productivity by providing unified MCP tools, secure integrations, and a 5-minute setup. It enables AI agents to interact effectively with the real world by packaging core capabilities into standardized tools and offering secure access to live data and services.; FastMCP: FastMCP is a Python framework that simplifies the creation of applications adhering to the Model Context Protocol (MCP), enabling AI agents to connect seamlessly with tools and data. It streamlines complex protocol implementation, focusing on delivering the right information to agents at the right time.
Empowering AI assistants with real-world capabilities
Developing robust and standardized MCP servers for AI agent integration.