io.github.shennawardana23/mcp-dino

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MCP server with an interactive dinosaur dashboard (MCP Apps UI). No API keys required.

What can you do with io.github.shennawardana23/mcp-dino?

  • 3-second build cycle — make build-fast && make dev-http
  • 7 integration tests — make test exercises every protocol method
  • Interactive debugging — make test-inspector launches MCP Inspector
  • Remote testing — make run-tunnel creates a public trycloudflare.com URL
  • No API keys — all dinosaur data is built into the binary
  • Zero runtime deps — single static binary with embedded HTML
  • Filter by diet — Carnivore, Herbivore, or show All
  • Filter by period — Triassic, Jurassic, Cretaceous

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

MCPB package https://github.com/shennawardana23/mcp-dino/releases/download/v0.1.0/dino-mcp-darwin-arm64.mcpb

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. 📋 Table of Contents
  2. 🦕 What — and Why
  3. ⚡ Quick Start
  4. 🏗 Architecture at a Glance
  5. ✨ Features
  6. 🎮 Try It
  7. 🔧 Tool Reference
  8. 💬 Claude Desktop Integration
  9. 🛠 Development
  10. 🗺 Documentation Map
  11. 📊 Project Status
  12. 📖 Further Reading

A production-grade MCP server with interactive HTML dashboard UI — written in Go, styled for delight.


📋 Table of Contents


🦕 What — and Why

dino-mcp is a reference implementation of the Model Context Protocol (MCP) in Go that demonstrates every layer of the modern MCP stack:

LayerImplementationWhy it matters
Transportstdio + Streamable HTTPWorks in Claude Desktop AND web browsers
MCP Apps@modelcontextprotocol/ext-apps App classInteractive HTML UIs in Claude Desktop iframes
Toolsdino_think, dino_ask, dino_dashboardTyped Go handlers, structured JSON results
Resources//go:embed HTML → text/html;profile=mcp-appSelf-contained ~11MB binary, zero deps at runtime

Whether you're building an MCP server from scratch, learning the MCP Apps protocol, or need a Go — Gin — ext-apps SDK integration blueprint, this project has you covered.


⚡ Quick Start

# Clone & enter
git clone https://github.com/shennawardana23/mcp-dino.git && cd mcp-dino

# Build & run in one shot (≈2 seconds)
make build-fast && make dev-http

# Open the standalone dashboard
open http://localhost:9010/dashboard

Expected output — click to expand

=== dino-mcp server ===
Transport: http
Listening on :9010

[GIN] 2026/06/21 - 12:30:00 | 200 | 4.2ms | ::1 | GET "/dashboard"
[GIN] 2026/06/21 - 12:30:01 | 200 | 2.1ms | ::1 | GET "/api/dinosaurs"

🏗 Architecture at a Glance

flowchart TB
  subgraph CLI["CLI Layer"]
    STDIO["stdio subcommand"]
    HTTP["http subcommand"]
  end

  subgraph SERVER["Server (internal/server/)"]
    GIN["Gin Router :9010"]
    MCPH["MCP StreamableHTTPHandler"]
    CORS["CORS Middleware"]
    TOOLS["Tools: think · ask · dashboard"]
    RES["Resources: //go:embed HTML"]
  end

  subgraph UI["View (ui/src/)"]
    APP["ext-apps App class"]
    POST["postMessage protocol"]
  end

  subgraph FALLBACK["Standalone Fallback"]
    DASH["/dashboard (HTML)"]
    API["/api/dinosaurs (JSON)"]
  end

  CLI --> GIN
  GIN --> CORS
  CORS --> MCPH
  MCPH --> TOOLS
  TOOLS --> RES
  RES --> APP
  APP --> POST
  MCPH -.->|"MCP Apps"| APP
  GIN -.->|"direct route"| DASH
  GIN -.->|"direct route"| API

  style CLI fill:#1a1a2e,color:#e0e0e0,stroke:#2d2a44
  style SERVER fill:#1a1a2e,color:#e0e0e0,stroke:#2d2a44
  style UI fill:#1a1a2e,color:#e0e0e0,stroke:#2d2a44
  style FALLBACK fill:#1a1a2e,color:#e0e0e0,stroke:#2d2a44
  style STDIO fill:#2d2a44,color:#a78bfa
  style HTTP fill:#2d2a44,color:#a78bfa
  style GIN fill:#0099e5,color:#fff
  style MCPH fill:#a78bfa,color:#fff
  style TOOLS fill:#22c55e,color:#fff
  style RES fill:#22c55e,color:#fff
  style APP fill:#facc15,color:#000
  style POST fill:#facc15,color:#000
  style DASH fill:#f87171,color:#fff
  style API fill:#f87171,color:#fff

Data flows through three pipes:

PipeProtocolClientUse case
MCP ToolsJSON-RPC over stdioClaude DesktopText tools (dino_think, dino_ask)
MCP AppsJSON-RPC over stdio + postMessageClaude Desktop iframeInteractive UI (dino_dashboard)
StandaloneHTTP GETBrowserDirect access (/dashboard, /api/dinosaurs)

✨ Features

MCP Standards Compliance

FeatureStatusNotes
Tools (tools/list, tools/call)✅ Complete3 typed tools with structured JSON responses
Resources (resources/list, resources/read)✅ Complete//go:embed HTML served at ui:// URIs
MCP Apps protocol✅ Complete_meta.ui.resourceUri + ui/initialize handshake
stdio transport✅Claude Desktop, Cursor, Copilot
Streamable HTTP✅MCP Inspector, curl, browser, tunnel
SSE transport❌ RemovedDeprecated in MCP spec v2025-11-25

Developer Experience

  • 3-second build cycle — make build-fast && make dev-http
  • 7 integration tests — make test exercises every protocol method
  • Interactive debugging — make test-inspector launches MCP Inspector
  • Remote testing — make run-tunnel creates a public trycloudflare.com URL
  • No API keys — all dinosaur data is built into the binary
  • Zero runtime deps — single static binary with embedded HTML

Interactive Dashboard

The dino_dashboard tool renders an HTML card grid inside Claude Desktop's iframe:

  • Filter by diet — Carnivore, Herbivore, or show All
  • Filter by period — Triassic, Jurassic, Cretaceous
  • 12 dinosaur species — from T-Rex to Velociraptor
  • Fallback mode — open directly at http://localhost:9010/dashboard

Note: the filter is applied server-side at the time the tool is called. Once opened with a specific filter, the in-app filter buttons can only narrow further within that same result set — they can't widen back out to species the initial call excluded.

The HTML view is built with the official @modelcontextprotocol/ext-apps SDK and communicates via JSON-RPC over postMessage.


🎮 Try It

In Claude Desktop
Show me the dinosaur dashboard with carnivores

→ Claude detects the MCP App → renders an iframe → you see filterable dinosaur cards

In your browser
open http://localhost:9010/dashboard

→ Standalone HTML with all dinosaur data fetched from the built-in REST API

With MCP Inspector
make test-inspector

→ Opens http://localhost:5173 → connects to http://localhost:9010/mcp

Via curl
# Initialize
curl -s -X POST http://localhost:9010/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"curl","version":"1.0"}}}' \
  | python3 -m json.tool

# List tools
SID="<session-id-from-above>"
curl -s -X POST http://localhost:9010/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "Mcp-Session-Id: $SID" \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/list"}' \
  | python3 -m json.tool

# Call dino_think
curl -s -X POST http://localhost:9010/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "Mcp-Session-Id: $SID" \
  -d '{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"dino_think","arguments":{}}}' \
  | python3 -m json.tool

🔧 Tool Reference

ToolTypeInputOutputExample Prompt
dino_thinkText{}Random fact + species JSON"Tell me a dinosaur fact"
dino_askText{"question": "..."}Answer + question JSON"What did T-Rex eat?"
dino_dashboardMCP App{"filter": "Carnivore"}HTML iframe + JSON data"Show me carnivore dinosaurs"

dino_ask currently returns the same general dinosaur-era overview regardless of the question asked — it doesn't yet branch on the question text. Tracked as a known limitation.

Example dino_think response:

{
  "content": [
    { "type": "text", "text": "🦕 Did you know? The Velociraptor was only about the size of a turkey!" }
  ],
  "structuredContent": {
    "fact": "The Velociraptor was only about the size of a turkey",
    "species": "Velociraptor"
  }
}

Example dino_dashboard response:

{
  "content": [
    { "type": "text", "text": "Displaying dinosaur dashboard with 4 dinosaurs (filter: Carnivore)" }
  ],
  "structuredContent": {
    "filter": "Carnivore",
    "dinosaurs": [
      {
        "name": "Tyrannosaurus Rex",
        "period": "Cretaceous",
        "diet": "Carnivore",
        "length": "40 ft (12 m)",
        "weight": "9 tons (8,000 kg)",
        "funFact": "T-Rex had the strongest bite of any land animal ever",
        "imageStyle": "bg-red-900"
      }
    ],
    "timestamp": "2026-06-21T12:00:00Z"
  }
}

💬 Claude Desktop Integration

CLI Mode (stdin/stdout)

Locate the binary and add to your claude_desktop_config.json:

{
  "mcpServers": {
    "dino-mcp": {
      "command": "/absolute/path/to/mcp-dino/bin/dino-mcp",
      "args": ["stdio"]
    }
  }
}

After saving, restart Claude Desktop. You'll see hammer icons (🔨) on tools when chatting — click to invoke directly, or let Claude decide.

HTTP Mode (for debugging)
make dev-http
# Server starts on :9010

🛠 Development

Prerequisites
ToolVersionPurpose
Go≥ 1.25Server binary
Node.js≥ 18UI build (Vite)
cloudflaredanyTunnel for remote testing
Commands
# Build — three options
make build            # Full: Vite UI + Go binary
make build-fast       # Quick: Go binary only (reuses existing UI)
make build-ui         # Vite UI only

# Run
make dev-http         # HTTP mode with verbose logging
make run-stdio        # stdio mode for Claude Desktop
make run-tunnel       # HTTP + Cloudflare Tunnel

# Test & verify
make test             # 7 integration tests — all must pass
make test-inspector   # Launch MCP Inspector in browser
make lint             # go vet + go fmt

# Utility
make help             # All targets with descriptions
make clean            # Remove all build artifacts
Project Structure
mcp-dino/
├── bin/                          # Go build output (~11MB static binary)
├── cmd/dino-mcp/main.go          # CLI entry point (stdio | http | help)
├── internal/
│   ├── server/
│   │   └── server.go             # Composition root: mcp.Server + Gin + CORS
│   ├── tools/
│   │   ├── tools.go              # Shared types, constants, helpers
│   │   ├── think.go              # RegisterThink (dino_think tool)
│   │   ├── ask.go                # RegisterAsk (dino_ask tool)
│   │   └── dashboard.go          # RegisterDashboardTool + 12 dino species + REST API
│   └── resources/
│       ├── dashboard.go          # RegisterDashboardResource + //go:embed HTML
│       └── dashboard_ui.html     # Vite-built HTML (354KB)
├── ui/
│   └── src/
│       └── mcp-app.ts            # ext-apps App class + postMessage
├── docs/                         # Diátaxis documentation (see below)
├── test_mcp.sh                   # 7 integration tests
├── AGENTS.md                     # AI agent instructions (canonical)
├── ARCHITECTURE.md               # C4 diagrams + sequence flows
├── TECH_DESIGN.md                # Interface contracts + data model
├── Makefile                      # All targets
├── go.mod + go.sum               # Go dependencies
└── README.md                     # ← you are here

🗺 Documentation Map

dino-mcp uses the Diátaxis framework — four documentation modes, each serving a different need.

For this audienceStart hereAudience
👋 New to the projectQuick StartEveryone
🧑‍💻 Adding a toolYour First ToolDevelopers
🦕 Adding a dinosaurAdd a DinosaurContent editors
🧪 Testing with InspectorTest with InspectorQA / Developers
🔍 Reference neededCLI ReferenceOperators
🏗 Understanding designArchitectureArchitects
🤖 Implementing via AIAGENTS.mdAI coding agents
📚 Deep architectureARCHITECTURE.mdSenior engineers
📐 Technical specsTECH_DESIGN.mdImplementation teams
⏳ Development historyMEMORY.mdAll contributors
📋 RoadmapPLAN.mdStakeholders
⚖️ Design trade-offsDESIGN.mdArchitects
🎯 Skills referenceSKILL.mdDevelopers / AI agents
🤝 How to contributeCONTRIBUTOR.mdContributors
📜 Code of conductCODE_CONDUCT.mdCommunity
📄 ADRsdocs/adr/Decision historians
🤖 LLM full contextllms-full.txtAI agents (RAG)

📊 Project Status

MVP ── Production ── Enhanced UI ── Ecosystem ── Advanced
  ●                    ○               ○             ○
PhaseStatusHighlights
MVP✅ Complete3 tools, MCP Apps UI, 7 tests, docs
Production🔄 In progressGo unit tests, CI, rate limiting, Docker
Enhanced UI📅 PlannedReal-time data, comparison, timeline
Ecosystem📅 PlannedHomebrew, GitHub releases, MCP Registry
Advanced💭 FutureStreaming tool inputs, WebSocket sync
Build Metrics
MetricValue
Binary size~11 MB (compressed)
Binary typeMach-O 64-bit arm64
Go version1.25
MCP SDK versionv1.7.0
Dependencies30+ Go modules (all indirect)
UI bundle354 KB embedded HTML (single-file Vite)
Test coverage7/7 integration tests passing (shell-based; no Go unit tests yet)

📖 Further Reading


Built with ❤️ using Go, Gin, MCP Go SDK, and @modelcontextprotocol/ext-apps

Frequently asked questions

What is io.github.shennawardana23/mcp-dino?

MCP server with an interactive dinosaur dashboard (MCP Apps UI). No API keys required.

How do I install io.github.shennawardana23/mcp-dino?

Follow the installation steps in its documentation, shown on this page and in its repository.

Does io.github.shennawardana23/mcp-dino need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.shennawardana23/mcp-dino open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains io.github.shennawardana23/mcp-dino?

It is published by shennawardana23. AI.tn lists it but does not maintain or endorse it.

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