Open Source and Local Code Mode MCP in Deno Sandboxes (portofcontext.com)

A port of the MCP (Model-Connector Platform) to Deno sandboxes was announced, delivering an open‑source, local "Code Mode" that replaces traditional LLM tool-calling with secure in-sandbox code execution. Instead of having models call external tools via natural-language-style tool APIs, agents now invoke MCP servers presented as code APIs that run inside isolated Deno sandboxes. The result is a privacy-friendly, low-latency pattern for connecting AI agents to real-world systems while keeping execution auditable and reproducible. Technically, Code Mode treats MCP endpoints as programmatic APIs executed in the sandbox, returning structured outputs rather than verbose, token-heavy conversational tool calls. That reduces token consumption, cuts costs, and improves task-completion success rates by making interactions deterministic and easier to validate. Using Deno sandboxes enforces process isolation and limits side effects, while the open-source implementation invites community scrutiny and extensibility—helpful for on-prem or sensitive deployments. For ML practitioners and agent builders, this means more efficient agent orchestration, better observability of agent actions, and a robust framework for integrating agents with external systems without sacrificing security or control.