Enables creating no-code agent workflows by combining multiple MCP servers into unified YAML-defined tools. Supports parameterized prompts and scripted steps, exposing a single MCP endpoint that orchestrates external servers like Chrome DevTools and shadcn.
MCP server for managing workflow topology graphs as pure YAML files, enabling AI agents to read, create, claim, and update task nodes with a strict state machine.
Turns any shell command into an MCP server by defining command-line tools in simple YAML files. Enables AI agents to execute system commands, security scanners, DevOps tools, and CLI utilities directly from chat interfaces.
Enables orchestration of MCP tool calls through declarative YAML-defined directed graphs with data transformation, conditional routing, and observable execution flows.
An MCP server that exposes deterministic workflows as tools, allowing small models to reliably orchestrate APIs and other MCP servers with minimal parameters.
