Switchback MCP
Classifies AI agent turns by complexity and recommends the cheapest model that can handle them, reducing costs in multi-step workflows.
README
Switchback MCP
MCP server for Switchback — classify AI agent turns by complexity and pick the cheapest model that can handle them. Drop-in for Claude Desktop, Cursor, Cline, and any MCP client.
Built by VibeKit — same cascade router that powers every "Auto" turn in our hosted product. Learn more →
What it does
Exposes two tools over the Model Context Protocol:
classify_turn— given a user message, returns{tier: 0|1|2, why, fallback, durationMs}. Use it when you're deciding whether to spend on a flagship model or stay on a cheap one for the next agent step.recommend_model— given a user message + a ladder of models (cheap → flagship), returns the cheapest model on the ladder that can plausibly handle it. Convenience wrapper aroundclassify_turn.
Both tools fire a single small-model call via OpenRouter (default: openai/gpt-5.4-mini, ~$0.0001/call). Fail-soft: any error returns tier 1 with fallback: true rather than blocking your agent.
Install
npm install -g vibekit-switchback-mcp
Configure
Set your OpenRouter key (get one at https://openrouter.ai/keys):
export OPENROUTER_API_KEY=sk-or-...
Optional: override the classifier model:
export SWITCHBACK_CLASSIFIER_MODEL=anthropic/claude-haiku-4.5
Claude Desktop
Add to your ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"switchback": {
"command": "npx",
"args": ["-y", "vibekit-switchback-mcp"],
"env": {
"OPENROUTER_API_KEY": "sk-or-..."
}
}
}
}
Cursor / Cline / others
Any MCP client that supports stdio servers. Same npx invocation.
Example calls
classify_turn:
{
"userMessage": "rebuild the auth flow with passkeys"
}
returns:
{
"tier": 2,
"why": "architectural rework + new auth method",
"fallback": false,
"durationMs": 412
}
recommend_model:
{
"userMessage": "fix typo in README",
"ladder": [
"openai/gpt-5.4-mini",
"openai/gpt-5.4",
"openai/gpt-5.5"
]
}
returns:
{
"recommended_model": "openai/gpt-5.4-mini",
"tier": 0,
"ladder_size": 3,
"classifier": { "tier": 0, "why": "trivial copy edit", "fallback": false, "durationMs": 318 }
}
When to use it
- Multi-step agents where you can swap models between rounds.
- BYOK-style products where you want to keep all routing inside the user's chosen brand — pass a brand-locked ladder per user.
- Cost-conscious orchestrators that want to avoid spending flagship rates on trivial turns.
When NOT to use it
- One-shot chat completions where you can't change models after the first call — use OpenRouter's
autoor NotDiamond/Martian instead. - Latency-critical sub-200ms-first-token UX — the classifier adds 200-500ms.
License
MIT. See LICENSE.
Built by VibeKit. The core library is vibekit-switchback — this package is the MCP wrapper.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。