mcpsandbox: mcpsandbox provides a lightweight sandbox object inspired by Daytona-style ergonomics but built around command projection instead of a full VM or container. It maps capabilities into a minimal runtime and lets an agent use them through shell commands and a small typed API. It supports just-bash as the execution engine, built-in filesystem sandboxing, git integration, MCP-backed commands, TypeScript handlers, existing binaries, and external sandbox providers.; fast-agent: fast-agent is a CLI-first framework for building and interacting with sophisticated multimodal AI agents and workflows. It offers comprehensive support for various LLM providers, structured outputs, and vision, with unique features like MCP Feature support and live streaming responses to the terminal.
Local development and testing of MCP tools
Rapid development and testing of sophisticated multimodal AI agents and workflows.