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SkillsMay 13, 2026·2 min de lectura

VT Code — Multi-Provider Coding Agent with MCP

VT Code is an open-source coding agent with multi-provider support, shell safety, and docs for Skills, ACP, and MCP integration.

Listo para agents

Staging seguro para este activo

Este activo primero queda en staging. El prompt copiado pide inspeccionar los archivos staged antes de activar scripts, config MCP o config global.

Stage only · 29/100Política: staging
Superficie agent
Cualquier agent MCP/CLI
Tipo
Skill
Instalación
Stage only
Confianza
Confianza: Established
Entrada
Asset
Comando de staging seguro
npx -y tokrepo@latest install 29ad7b32-0d55-50f7-a4ea-73b742b4fa66 --target codex

Primero deja archivos en staging; la activación requiere revisar el README y el plan staged.

Introducción

VT Code is an open-source coding agent with multi-provider support, shell safety, and docs for Skills, ACP, and MCP integration.

Best for: developers who want a CLI coding agent with extensible skills and protocol integrations

Works with: macOS/Linux/Windows, multiple LLM providers, MCP-capable clients, Zed via ACP

Setup time: 8-15 minutes

Key facts (verified)

  • GitHub: 588 stars · 49 forks · pushed 2026-05-13.
  • License: MIT · owner avatar + repo URL verified via GitHub API.
  • README-verified entrypoint: cargo install vtcode.

Main

  • Use the native installer for a fast start, then run vtcode with the provider env var you already use (README shows OpenAI as an example).

  • If you rely on semantic search, install the optional bundle and keep ripgrep + ast-grep available as recommended by the README.

  • When integrating with editors or other agents, follow the README guides for MCP and ACP so your agent runs are reproducible across machines.

Source-backed notes

  • README documents install options: native installer script, cargo install vtcode, and brew install vtcode.
  • README shows a minimal run: set OPENAI_API_KEY then vtcode.
  • README includes guides/badges for MCP integration and Agent Skills support.

FAQ

  • Do I have to use OpenAI?: No — README lists multiple providers and shows OpenAI only as an example.
  • Can I install via Homebrew?: Yes — README includes brew install vtcode (and an optional tap path).
  • Does it support MCP?: Yes — README links to an MCP integration guide.
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Fuente y agradecimientos

Source: https://github.com/vinhnx/VTCode > License: MIT > GitHub stars: 588 · forks: 49

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