dino-mcp
A production-grade MCP server with interactive HTML dashboard UI for exploring dinosaur facts, data, and filtering, written in Go.
README
<p align="center"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://img.shields.io/badge/๐ฆ-dino--mcp-8b5cf6?style=for-the-badge&labelColor=1a1a2e&color=a78bfa"> <img alt="dino-mcp" src="https://img.shields.io/badge/๐ฆ-dino--mcp-8b5cf6?style=for-the-badge&labelColor=f0f0ff&color=7c3aed"> </picture> </p>
<p align="center"> <em>A production-grade MCP server with interactive HTML dashboard UI โ written in Go, styled for delight.</em> </p>
<div align="center">
</div>
๐ Table of Contents
- What โ and Why
- Quick Start
- Architecture at a Glance
- Features
- Try It
- Tool Reference
- Claude Desktop Integration
- Development
- Documentation Map
- Project Status
๐ฆ What โ 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:
| Layer | Implementation | Why it matters |
|---|---|---|
| Transport | stdio + Streamable HTTP |
Works in Claude Desktop AND web browsers |
| MCP Apps | @modelcontextprotocol/ext-apps App class |
Interactive HTML UIs in Claude Desktop iframes |
| Tools | dino_think, dino_ask, dino_dashboard |
Typed Go handlers, structured JSON results |
| Resources | //go:embed HTML โ text/html;profile=mcp-app |
Self-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 โ Gin โ ext-apps SDK integration blueprint, this project has you covered.
โก Quick Start
# Clone & enter
git clone https://github.com/shennawardana23/mcp-dino.git && cd mcp-dino
# Build & run in one shot (โ2 seconds)
make build-fast && make dev-http
# Open the standalone dashboard
open http://localhost:9010/dashboard
<details> <summary><b>Expected output</b> โ click to expand</summary>
=== 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"
</details>
๐ 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 ยท ask ยท 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:
| Pipe | Protocol | Client | Use case |
|---|---|---|---|
| MCP Tools | JSON-RPC over stdio | Claude Desktop | Text tools (dino_think, dino_ask) |
| MCP Apps | JSON-RPC over stdio + postMessage | Claude Desktop iframe | Interactive UI (dino_dashboard) |
| Standalone | HTTP GET | Browser | Direct access (/dashboard, /api/dinosaurs) |
โจ Features
<details open> <summary><b>MCP Standards Compliance</b></summary>
| Feature | Status | Notes |
|---|---|---|
Tools (tools/list, tools/call) |
โ Complete | 3 typed tools with structured JSON responses |
Resources (resources/list, resources/read) |
โ Complete | //go:embed HTML served at ui:// URIs |
| MCP Apps protocol | โ Complete | _meta.ui.resourceUri + ui/initialize handshake |
| stdio transport | โ | Claude Desktop, Cursor, Copilot |
| Streamable HTTP | โ | MCP Inspector, curl, browser, tunnel |
| SSE transport | โ Removed | Deprecated in MCP spec v2025-11-25 |
</details>
<details> <summary><b>Developer Experience</b></summary>
- 3-second build cycle โ
make build-fast && make dev-http - 7 integration tests โ
make testexercises every protocol method - Interactive debugging โ
make test-inspectorlaunches MCP Inspector - Remote testing โ
make run-tunnelcreates a publictrycloudflare.comURL - No API keys โ all dinosaur data is built into the binary
- Zero runtime deps โ single static binary with embedded HTML
</details>
<details> <summary><b>Interactive Dashboard</b></summary>
The dino_dashboard tool renders an HTML card grid inside Claude Desktop's iframe:
- Filter by diet โ Carnivore, Herbivore, or show All
- Filter by period โ Triassic, Jurassic, Cretaceous
- 12 dinosaur species โ from T-Rex to Velociraptor
- Fallback mode โ 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 โ 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.
</details>
๐ฎ Try It
In Claude Desktop
Show me the dinosaur dashboard with carnivores
โ Claude detects the MCP App โ renders an iframe โ you see filterable dinosaur cards
In your browser
open http://localhost:9010/dashboard
โ Standalone HTML with all dinosaur data fetched from the built-in REST API
With MCP Inspector
make test-inspector
โ Opens http://localhost:5173 โ 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
๐ง Tool Reference
| Tool | Type | Input | Output | Example Prompt |
|---|---|---|---|---|
dino_think |
Text | {} |
Random fact + species JSON | "Tell me a dinosaur fact" |
dino_ask |
Text | {"question": "..."} |
Answer + question JSON | "What did T-Rex eat?" |
dino_dashboard |
MCP App | {"filter": "Carnivore"} |
HTML iframe + JSON data | "Show me carnivore dinosaurs" |
dino_askcurrently returns the same general dinosaur-era overview regardless of the question asked โ it doesn't yet branch on the question text. Tracked as a known limitation.
Example dino_think response:
{
"content": [
{ "type": "text", "text": "๐ฆ 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"
}
}
๐ฌ 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 (๐จ) on tools when chatting โ click to invoke directly, or let Claude decide.
HTTP Mode (for debugging)
make dev-http
# Server starts on :9010
๐ Development
Prerequisites
| Tool | Version | Purpose |
|---|---|---|
| Go | โฅ 1.25 | Server binary |
| Node.js | โฅ 18 | UI build (Vite) |
| cloudflared | any | Tunnel for remote testing |
Commands
# Build โ 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 โ 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/
โโโ bin/ # Go build output (~11MB static binary)
โโโ cmd/dino-mcp/main.go # CLI entry point (stdio | http | help)
โโโ internal/
โ โโโ server/
โ โ โโโ server.go # Composition root: mcp.Server + Gin + CORS
โ โโโ tools/
โ โ โโโ tools.go # Shared types, constants, helpers
โ โ โโโ think.go # RegisterThink (dino_think tool)
โ โ โโโ ask.go # RegisterAsk (dino_ask tool)
โ โ โโโ dashboard.go # RegisterDashboardTool + 12 dino species + REST API
โ โโโ resources/
โ โโโ dashboard.go # RegisterDashboardResource + //go:embed HTML
โ โโโ dashboard_ui.html # Vite-built HTML (354KB)
โโโ ui/
โ โโโ src/
โ โโโ mcp-app.ts # ext-apps App class + postMessage
โโโ docs/ # Diรกtaxis documentation (see below)
โโโ test_mcp.sh # 7 integration tests
โโโ AGENTS.md # AI agent instructions (canonical)
โโโ ARCHITECTURE.md # C4 diagrams + sequence flows
โโโ TECH_DESIGN.md # Interface contracts + data model
โโโ Makefile # All targets
โโโ go.mod + go.sum # Go dependencies
โโโ README.md # โ you are here
๐บ Documentation Map
dino-mcp uses the Diรกtaxis framework โ four documentation modes, each serving a different need.
| For this audience | Start here | Audience |
|---|---|---|
| ๐ New to the project | Quick Start | Everyone |
| ๐งโ๐ป Adding a tool | Your First Tool | Developers |
| ๐ฆ Adding a dinosaur | Add a Dinosaur | Content editors |
| ๐งช Testing with Inspector | Test with Inspector | QA / Developers |
| ๐ Reference needed | CLI Reference | Operators |
| ๐ Understanding design | Architecture | Architects |
| ๐ค Implementing via AI | AGENTS.md | AI coding agents |
| ๐ Deep architecture | ARCHITECTURE.md | Senior engineers |
| ๐ Technical specs | TECH_DESIGN.md | Implementation teams |
| โณ Development history | MEMORY.md | All contributors |
| ๐ Roadmap | PLAN.md | Stakeholders |
| โ๏ธ Design trade-offs | DESIGN.md | Architects |
| ๐ฏ Skills reference | SKILL.md | Developers / AI agents |
| ๐ค How to contribute | CONTRIBUTOR.md | Contributors |
| ๐ Code of conduct | CODE_CONDUCT.md | Community |
| ๐ ADRs | docs/adr/ | Decision historians |
| ๐ค LLM full context | llms-full.txt | AI agents (RAG) |
๐ Project Status
MVP โโ Production โโ Enhanced UI โโ Ecosystem โโ Advanced
โ โ โ โ
| Phase | Status | Highlights |
|---|---|---|
| MVP | โ Complete | 3 tools, MCP Apps UI, 7 tests, docs |
| Production | ๐ In progress | Go unit tests, CI, rate limiting, Docker |
| Enhanced UI | ๐ Planned | Real-time data, comparison, timeline |
| Ecosystem | ๐ Planned | Homebrew, GitHub releases, MCP Registry |
| Advanced | ๐ญ Future | Streaming tool inputs, WebSocket sync |
Build Metrics
| Metric | Value |
|---|---|
| Binary size | ~11 MB (compressed) |
| Binary type | Mach-O 64-bit arm64 |
| Go version | 1.25 |
| MCP SDK version | v1.7.0 |
| Dependencies | 30+ Go modules (all indirect) |
| UI bundle | 354 KB embedded HTML (single-file Vite) |
| Test coverage | 7/7 integration tests passing (shell-based; no Go unit tests yet) |
๐ Further Reading
| Resource | Link |
|---|---|
| MCP Specification | spec.modelcontextprotocol.io |
| MCP Go SDK | github.com/modelcontextprotocol/go-sdk |
| MCP Apps Protocol | modelcontextprotocol.io/docs/apps/overview |
| ext-apps SDK | github.com/modelcontextprotocol/ext-apps |
| Gin Web Framework | github.com/gin-gonic/gin |
| Go Programming Language | go.dev |
<p align="center"> Built with โค๏ธ using <a href="https://go.dev">Go</a>, <a href="https://gin-gonic.com">Gin</a>, <a href="https://github.com/modelcontextprotocol/go-sdk">MCP Go SDK</a>, and <a href="https://github.com/modelcontextprotocol/ext-apps">@modelcontextprotocol/ext-apps</a> </p>
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.