Enables AI agents to write and execute Python code in an isolated sandbox that can orchestrate multiple MCP tool calls, reducing context window bloat and improving efficiency for complex workflows.
A sandboxed MCP server that executes shell commands inside ephemeral, locked-down Docker containers with no network by default, dropped capabilities, and an audit log, enabling secure agent-driven command execution.
A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.
Spins up isolated opencode instances in Docker containers as MCP servers, providing 80 tools for file and shell operations within a scoped workspace without exposing the host filesystem.