[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"workflow-vt-code-multi-provider-coding-agent-with-mcp-29ad7b32":3,"seo:featured-workflow:29ad7b32-0d55-50f7-a4ea-73b742b4fa66:en":39,"workflow-related-vt-code-multi-provider-coding-agent-with-mcp-29ad7b32-29ad7b32-0d55-50f7-a4ea-73b742b4fa66":85},{"id":4,"uuid":5,"slug":6,"title":7,"description":8,"author_id":9,"author_name":10,"author_avatar":11,"token_estimate":12,"time_saved":12,"model_used":13,"fork_count":12,"vote_count":12,"view_count":14,"parent_id":12,"parent_uuid":13,"lang_type":15,"steps":16,"files":23,"tags":24,"has_voted":30,"visibility":19,"share_token":13,"is_featured":12,"content_hash":31,"asset_kind":28,"target_tools":32,"install_mode":36,"entrypoint":37,"risk_profile":38,"dependencies":40,"verification":46,"agent_metadata":49,"agent_fit":60,"trust":72,"provenance":81,"created_at":83,"updated_at":84},3552,"29ad7b32-0d55-50f7-a4ea-73b742b4fa66","vt-code-multi-provider-coding-agent-with-mcp","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.","8a910fec-3180-11f1-9bc6-00163e2b0d79","Agent Toolkit","https:\u002F\u002Ftokrepo.com\u002Fapple-touch-icon.png",0,"",17,"en",[17],{"id":18,"step_order":19,"title":20,"description":13,"prompt_template":21,"variables":13,"depends_on":22,"expected_output":13},4112,1,"Asset","## Quick Use\n\n```bash\ncurl -fsSL https:\u002F\u002Fraw.githubusercontent.com\u002Fvinhnx\u002Fvtcode\u002Fmain\u002Fscripts\u002Finstall.sh | bash\nexport OPENAI_API_KEY=\"sk-...\"\nvtcode\n# optional: vtcode dependencies install search-tools\n```\n\n## Intro\n\nVT Code is an open-source coding agent with multi-provider support, shell safety, and docs for Skills, ACP, and MCP integration.\n\n**Best for:** developers who want a CLI coding agent with extensible skills and protocol integrations\n\n**Works with:** macOS\u002FLinux\u002FWindows, multiple LLM providers, MCP-capable clients, Zed via ACP\n\n**Setup time:** 8-15 minutes\n\n### Key facts (verified)\n\n- GitHub: 588 stars · 49 forks · pushed 2026-05-13.\n- License: MIT · owner avatar + repo URL verified via GitHub API.\n- README-verified entrypoint: `cargo install vtcode`.\n\n## Main\n\n- 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).\n\n- If you rely on semantic search, install the optional bundle and keep `ripgrep` + `ast-grep` available as recommended by the README.\n\n- When integrating with editors or other agents, follow the README guides for MCP and ACP so your agent runs are reproducible across machines.\n\n### Source-backed notes\n\n- README documents install options: native installer script, `cargo install vtcode`, and `brew install vtcode`.\n- README shows a minimal run: set `OPENAI_API_KEY` then `vtcode`.\n- README includes guides\u002Fbadges for MCP integration and Agent Skills support.\n\n### FAQ\n\n- **Do I have to use OpenAI?**: No — README lists multiple providers and shows OpenAI only as an example.\n- **Can I install via Homebrew?**: Yes — README includes `brew install vtcode` (and an optional tap path).\n- **Does it support MCP?**: Yes — README links to an MCP integration guide.\n\n## Source & Thanks\n\n> Source: https:\u002F\u002Fgithub.com\u002Fvinhnx\u002FVTCode\n> License: MIT\n> GitHub stars: 588 · forks: 49\n\n---\n\n\u003C!-- ZH -->\n\n## Quick Use\n\n```bash\ncurl -fsSL https:\u002F\u002Fraw.githubusercontent.com\u002Fvinhnx\u002Fvtcode\u002Fmain\u002Fscripts\u002Finstall.sh | bash\nexport OPENAI_API_KEY=\"sk-...\"\nvtcode\n# optional: vtcode dependencies install search-tools\n```\n\n## Intro\n\nVT Code 是开源编程 agent，强调多模型提供方、Shell 安全与上下文管理，并提供 Skills、编辑器协议（ACP）与 MCP 集成文档；README 展示安装脚本与最小示例（设置 API key 后直接运行 `vtcode`）。\n\n**Best for:** 想要可扩展技能、并能接入协议生态的 CLI 编程 agent 用户\n\n**Works with:** macOS\u002FLinux\u002FWindows；多模型提供方；MCP 客户端；Zed（ACP）\n\n**Setup time:** 8-15 minutes\n\n### Key facts (verified)\n\n- GitHub：588 stars · 49 forks；最近更新 2026-05-13。\n- 许可证：MIT；作者头像与仓库链接均已通过 GitHub API 复核。\n- README 中核对过的入口命令：`cargo install vtcode`。\n\n## Main\n\n- 按 README 用官方安装脚本快速装好，再用你已有的提供方环境变量启动（README 以 OpenAI 为例）。\n\n- 需要语义搜索时按 README 建议补齐 `ripgrep` + `ast-grep`，再装 search-tools bundle。\n\n- 要接入编辑器或其他 agent 时，优先按 README 的 MCP\u002FACP 指南配置，保证跨机器可复现。\n\n### Source-backed notes\n\n- README 提供安装方式：官方安装脚本、`cargo install vtcode`、以及 `brew install vtcode`。\n- README 给出最小运行示例：设置 `OPENAI_API_KEY` 后执行 `vtcode`。\n- README 包含 MCP 集成与 Agent Skills 支持的指南入口。\n\n### FAQ\n\n- **必须用 OpenAI 吗？**：不必须。README 列出多种提供方；OpenAI 只是示例。\n- **能用 Homebrew 装吗？**：能。README 提供 `brew install vtcode`（也给出可选 tap 方式）。\n- **支持 MCP 吗？**：支持。README 提供 MCP 集成指南链接。\n\n## Source & Thanks\n\n> Source: https:\u002F\u002Fgithub.com\u002Fvinhnx\u002FVTCode\n> License: MIT\n> GitHub stars: 588 · forks: 49\n","0",[],[25],{"id":26,"name":27,"slug":28,"icon":29},14,"CLI 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