Async MCP server for running long-running AI tasks with real-time progress monitoring, enabling users to start, monitor, and manage complex AI workflows across multiple models.
Proxies a remote MCP server to add protocol-native background task support, including task management and progress forwarding, while preserving synchronous calls.
Enables multi-tenant task management through a remote MCP server with OAuth2 authentication, per-tenant data isolation, rate limiting, and a client SDK.
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.