An MCP server that enables asynchronous task submission and execution through a local worker daemon, decoupled from specific providers and models, with tasks continuing even after the client disconnects.
A production-ready MCP server built with Node.js and Express that supports remote deployment via HTTP and SSE. It provides a modular framework for building and scaling tools while serving multiple clients concurrently.
A production-grade MCP server designed for multi-tenant, authenticated, and observable AI agent systems, enabling secure tool execution across heterogeneous data sources.
A framework for building MCP servers with standardized tools, authentication, logging, and multiple transports. Enables rapid development of secure, auditable MCP tools.