Fretboard Voicing Explorer MCP Server
Enables interactive exploration of guitar chord voicings through an MCP server that provides tools for showing, evaluating, and analyzing chord voicings, with a host-agnostic UI widget for inline fretboard rendering.
README
Fretboard Voicing Explorer — MCP Apps dual-host demo
A runnable demo of MCP Apps portability: a TanStack Start app hosts its own
HTTP MCP server, consumes that server to render an interactive fretboard
ui:// widget inline in chat, and the same server is consumed by Goose
to render the same widget in a different host.
One MCP server. One
ui://resource. Two hosts.
What's here
src/
mcp/
voicing.ts # pure music model: chord→voicing, voice-leading analysis
voicing.test.ts # vitest unit tests (deterministic)
server.ts # MCP server: show_voicing, evaluate_voicing, analyze_progression
widget/fretboard.html # host-agnostic ui:// widget (self-contained, no app imports)
routes/
fretboard.tsx # chat host UI + <MCPAppResource> render
api.mcp.ts # the Streamable HTTP MCP server endpoint
api.fretboard.chat.ts # chat route: createMCPClient(self) + Anthropic adapter
api.mcp-app.call-tool.ts # bridge call endpoint (allowlisted)
sandbox/sandbox_proxy.html # separate-origin MCP Apps sandbox proxy (served on :3100)
scripts/sandbox-server.mjs # tiny static server for the sandbox proxy
goose/config-snippet.md # how to point Goose at /api/mcp
Prerequisites
- Node 20+,
pnpm ANTHROPIC_API_KEYin.env.local(the chat route's Anthropic adapter reads it)- Goose Desktop ≥ v1.19.0 for the cross-host half (verified on v1.39.0)
Run
pnpm install
cp .env.example .env # ports: app 4321, sandbox proxy 3100
echo "ANTHROPIC_API_KEY=sk-ant-..." > .env.local
pnpm dev # starts the app (:4321) AND the sandbox proxy (:3100)
Open http://localhost:4321/fretboard. The app uses a fixed port (4321,
set in vite.config.ts with strictPort) so the origin is stable for Goose;
if it's taken, free it or change the port in vite.config.ts + Goose config.
pnpm test # runs the pure-model unit tests
Architecture
Browser (host #1) ──▶ /fretboard chat UI, renders <MCPAppResource>
/api/fretboard/chat createMCPClient(self) + Anthropic
┌── HTTP MCP ──────▶ /api/mcp MCP server (3 tools + ui:// resource)
│ /api/mcp-app/call-tool bridge endpoint (evaluate_voicing only)
│
│ widget iframe ──▶ :3100 sandbox proxy separate origin (security isolation)
│
└── Goose (host #2) ── points at /api/mcp ── renders the SAME ui:// widget
The ui:// widget speaks the mcp-ui postMessage protocol; the server wraps
it with the mcp-apps adapter (@mcp-ui/server) which translates to the MCP
Apps (ext-apps) protocol both hosts speak — so the widget is host-agnostic.
Resolve-first findings (verified from source)
ui://reconciliation is a pull model.@tanstack/ai-mcp@0.2.0reads the tool's_meta.ui.resourceUriat discovery, stamps it, then fetches the resource viaresources/readand matchescontent.uri === uiResourceUri. Soshow_voicingsets_meta.ui.resourceUri(andopenai/outputTemplatefor Goose/Apps SDK) and the server exposes the resource viaresources/read.- Adapter:
anthropicText('claude-sonnet-4-6')from@tanstack/ai-anthropic. - Transport: the MCP SDK's
WebStandardStreamableHTTPServerTransport(Request→Response, stateless per-request) serves/api/mcpstraight from a TanStack Start route — no Node bridging. @mcp-ui/server@6.1.0wrapHtmlWithAdapters+getAdapterMimeTypeemittext/html;profile=mcp-app.- Sandbox proxy is the ext-apps double-iframe proxy, self-hosted on a
separate origin (
:3100) —@mcp-ui/client@7.1.1'sAppRendererrequires it.
Demo script
- TanStack app.
/fretboard→ "Show me a Cmaj7 voicing." The fretboard renders inline. Drag a note →evaluate_voicing→ the analysis updates. "What comes next?" → sends a prompt that advances the progression. - Goose, same server. Follow
goose/config-snippet.md, restart Goose, ask for the same chord. The same widget renders in Goose; the same drag yields the sameevaluate_voicingresult; narration comes from Goose's own model. - Honest divergence + security. Same tool result, host-specific narration.
A
javascript:link is rejected by both hosts' scheme allowlist. A text-only client still gets a usable voicing via the mandatory text fallback.
Status
- ✅ One
/api/mcpserver with 3 tools + theui://resource (verified over the wire). - ✅ TanStack host renders the
ui://widget cross-origin through the sandbox proxy. - ✅
show_voicingruns, the model narrates the computed voicing; text fallback present. - ✅ Pure
evaluate_voicingmodel is unit-tested and deterministic. - ✅ Live in-widget host bridge works: the widget is seeded with the computed
voicing (delivered as
ui/notifications/tool-input), and an in-widget tool call round-tripsevaluate_voicingthrough the bridge endpoint and renders the result. - ✅ Bridge endpoint enforces an allowlist (
evaluate_voicingonly).
Isolated widget harness
/fretboard-test renders the widget with a hardcoded Cmaj7 seed and the real
bridge — no chat, no API key — handy for working on the widget in isolation.
Notes / gotchas
- The widget HTML is inlined into the server module via Vite
?raw, so after editingsrc/mcp/widget/fretboard.htmlyou need a full dev restart (HMR alone serves a stale widget). - The bridge result comes back double-wrapped (the bridge returns a full
CallToolResultand the host wraps it again); the widget unwraps to the analysis. SeestructuredFromin the widget.
This app was scaffolded with TanStack Start (file-based routing, Nitro server, Tailwind). See https://tanstack.com/start for framework docs.
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。