MCP Demo Server

MCP Demo Server

Model Context Protocol (MCP) server implementation demonstrating production-ready patterns in TypeScript, with tools for calculation, weather, and filesystem access.

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MCP Demo Server

Model Context Protocol (MCP) server implementation demonstrating production-ready patterns in TypeScript. Four parallel implementations comparing bare-metal and framework approaches.

Overview

This project showcases MCP server implementations with:

  • Three core patterns: Computation (calculate), API integration (weather), filesystem access
  • Four implementations: Bare-metal, FastMCP, EasyMCP*, mcp-framework
  • Framework comparison: Real-world evaluation of MCP development approaches

*Note: The EasyMCP implementation may not run due to unstable npm package (v0.0.0-development).

  • Enterprise patterns: Security, observability, reliability demonstrated across all implementations
  • Dual transports: Stdio for desktop apps, HTTP/SSE for remote access

Quick Start

Prerequisites

  • Node.js 20+
  • pnpm 8+
  • OpenWeatherMap API key (free tier: https://openweathermap.org/api)

Installation

# Clone and install
git clone <repository-url>
cd mcp-demo
pnpm install

# Configure
cp .env.example .env
# Edit .env and add your WEATHER_API_KEY

Use with Claude Code

# Build the server
pnpm build

# Add to Claude Code
claude mcp add demo-server node -- $(pwd)/dist/servers/bare-metal/index.js

# Verify connection
claude mcp list

Manual Testing (HTTP mode)

# Development
TRANSPORT_MODE=http pnpm dev

# Production
pnpm build
TRANSPORT_MODE=http pnpm start

Note: For Claude Code (stdio mode), you don't need to manually run the server - it auto-starts!

Architecture

High-Level Design

┌─────────────┐
│   Client    │
└──────┬──────┘
       │
┌──────▼───────────────────┐
│  Transport Layer         │
│  • Stdio (stdin/stdout)  │
│  • HTTP/SSE (Express)    │
└──────┬───────────────────┘
       │
┌──────▼───────────────┐
│  Middleware Pipeline │
│  • Auth              │
│  • Rate Limiting     │
│  • Logging/Tracing   │
│  • Metrics           │
└──────┬───────────────┘
       │
┌──────▼────────────┐
│  Message Router   │
│  • tools/list     │
│  • tools/call     │
│  • resources/list │
│  • resources/read │
└──────┬────────────┘
       │
┌──────▼──────────────────┐
│  Handler Registries     │
│  • ToolRegistry         │
│  • ResourceRegistry     │
└──────┬──────────────────┘
       │
┌──────▼────────────────────┐
│  Capability Handlers      │
│  • CalculateTool          │
│  • WeatherTool            │
│  • FileResourceHandler    │
└───────────────────────────┘

Handler Pattern

All capabilities implement a common interface:

interface CapabilityHandler<TParams, TResult> {
  validate(input: unknown): ValidationResult<TParams>;
  execute(params: TParams, context: ExecutionContext): Promise<Result<TResult>>;
  handleError(error: Error): MCPError;
}

This eliminates repetition and makes adding new capabilities simple:

  1. Implement the interface
  2. Register with appropriate registry
  3. Done - routing and transport work automatically

Framework Comparison

This project includes four parallel implementations of the same MCP server capabilities, allowing you to compare approaches:

Implementation Lines of Code Pattern Best For
Bare-metal (/servers/bare-metal) ~2,000 Direct MCP SDK Learning MCP internals, full control, custom needs
FastMCP (/servers/fastmcp-impl) ~420 Builder API Production apps, Express-like familiarity
EasyMCP (/servers/easymcp-impl) ⚠️ ~400 Decorators Rapid prototyping, minimal boilerplate (package unstable)
mcp-framework (/servers/mcp-framework-impl) ~455 Auto-discovery Large projects with many capabilities

⚠️ EasyMCP implementation may not run - the easy-mcp npm package has broken exports in v0.0.0-development

Feature Matrix

Feature Bare-metal FastMCP EasyMCP mcp-framework
Transport: stdio
Transport: HTTP/SSE
Input validation Manual Zod Zod schemas Type inference Zod + helpers
Auto-discovery ✓ (from /tools)
Type safety Manual Schema-based Decorator inference MCPInput<this>
Setup complexity High Medium Low Medium
Boilerplate High Low Minimal Low-Medium
Framework dependency None FastMCP EasyMCP mcp-framework
Learning curve Steep Gentle Gentle Medium

Code Comparison: Adding a Tool

Bare-metal (must implement full interface):

class MyTool implements CapabilityHandler {
  validate(input: unknown): ValidationResult { /* ... */ }
  execute(params: MyParams, ctx: ExecutionContext): Promise<Result> { /* ... */ }
  handleError(error: Error): MCPError { /* ... */ }
}
// Register manually
toolRegistry.register('my_tool', new MyTool());

FastMCP (builder pattern):

server.addTool({
  name: 'my_tool',
  parameters: z.object({ input: z.string() }),
  execute: async (args) => processInput(args.input),
});

EasyMCP (decorators):

class MyMCP extends EasyMCP {
  @Tool({ description: 'Process input' })
  async myTool(input: string) {
    return processInput(input);
  }
}

mcp-framework (auto-discovery):

// In /tools/my_tool.ts
class MyTool extends MCPTool {
  name = 'my_tool';
  schema = defineSchema({ input: z.string().describe('Input') });
  async execute(input: MCPInput<this>) {
    return processInput(input.input);
  }
}
export default MyTool;
// Automatically discovered - no registration needed

When to Choose Each Approach

Choose Bare-metal when:

  • Learning MCP protocol internals
  • Need maximum control and customization
  • Building something unusual or experimental
  • Want minimal dependencies
  • Performance optimization is critical

Choose FastMCP when:

  • Building production applications quickly
  • Team is familiar with Express.js patterns
  • Need session management and authentication
  • Want a proven, battle-tested framework

Choose EasyMCP when:

  • ⚠️ Note: Currently not recommended - package has stability issues
  • Rapid prototyping or MVPs
  • Building simple, small servers
  • Team prefers TypeScript decorators
  • Want absolute minimum boilerplate
  • Developer experience is top priority

Choose mcp-framework when:

  • Building large projects with many capabilities
  • Want CLI tooling (mcp validate, mcp add)
  • Team prefers convention over configuration
  • Scalability and organization are important
  • Need structured file organization

Running the Implementations

Each implementation is in its own directory under /servers:

# Bare-metal
cd servers/bare-metal
pnpm build
node dist/index.js

# FastMCP
cd servers/fastmcp-impl
npm install
npm run dev

# EasyMCP (⚠️ may not work - package unstable)
cd servers/easymcp-impl
npm install
npm run dev

# mcp-framework
cd servers/mcp-framework-impl
npm install
npm run dev

All implementations support the same three capabilities (calculate, get_weather, file access) with identical APIs.

Capabilities

1. calculate (Computation Pattern)

Evaluates mathematical expressions with security controls.

Method: tools/call

Parameters:

{
  "name": "calculate",
  "arguments": {
    "expression": "2 + 2 * 10"
  }
}

Returns:

{
  "expression": "2 + 2 * 10",
  "result": 22
}

Security: Expression sanitization prevents code injection. Only mathematical operators allowed.

2. get_weather (API Integration Pattern)

Fetches current weather data from OpenWeatherMap.

Method: tools/call

Parameters:

{
  "name": "get_weather",
  "arguments": {
    "location": "San Francisco"
  }
}

Returns:

{
  "location": "San Francisco, US",
  "temperature": 18.5,
  "conditions": "partly cloudy",
  "timestamp": "2025-10-20T10:37:00Z"
}

Features: 10-minute result caching, configurable timeout, error handling for API failures.

3. file:// resources (Filesystem Pattern)

Provides safe read access to files in allowed directories.

List resources:

{
  "method": "resources/list"
}

Read resource:

{
  "method": "resources/read",
  "params": {
    "uri": "file:///tmp/example.txt"
  }
}

Security: Path traversal protection, restricted to ALLOWED_FILE_PATHS, MIME type detection.

Configuration

All configuration via environment variables. See .env.example for details.

Key Variables

# Transport
TRANSPORT_MODE=stdio        # or "http"
HTTP_PORT=3000              # HTTP mode only

# Weather API
WEATHER_API_KEY=your_key    # Required for weather tool
WEATHER_CACHE_TTL=600       # Seconds (10 min default)

# Security
ALLOWED_FILE_PATHS=/tmp     # Colon-separated paths
API_KEYS=key1,key2          # HTTP mode only
RATE_LIMIT_REQUESTS=60      # Requests/min per client

# Observability
LOG_LEVEL=info              # debug|info|warn|error
LOG_FORMAT=pretty           # json|pretty

Deployment

Local Development

# Stdio mode with auto-reload
pnpm dev

# HTTP mode with auto-reload
TRANSPORT_MODE=http pnpm dev

Docker

# Build image
docker build -t mcp-demo .

# Run container
docker run -p 3000:3000 \
  -e WEATHER_API_KEY=your_key \
  -e API_KEYS=your_api_key \
  mcp-demo

MCP Client Integration

Claude Code CLI (recommended):

# Build the server first
pnpm build

# Add to Claude Code (stdio mode)
claude mcp add demo-server node -- /path/to/mcp-demo/dist/servers/bare-metal/index.js

# Verify it's connected
claude mcp list

# The server will auto-start when Claude Code needs it
# No need to manually run pnpm start!

Claude Desktop (stdio):

{
  "mcpServers": {
    "demo-server": {
      "command": "node",
      "args": ["/path/to/mcp-demo/dist/servers/bare-metal/index.js"]
    }
  }
}

HTTP Client:

curl -X POST http://localhost:3000/mcp \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "calculate",
      "arguments": {"expression": "2 + 2"}
    }
  }'

Sharing Your Server

Stdio vs HTTP: When to Use Each

Stdio Mode (Local, Single User):

  • ✅ Personal use with Claude Code/Desktop
  • ✅ Secure (OS-level permissions only)
  • ✅ No network exposure
  • ✅ Auto-starts/stops with client

HTTP Mode (Shared, Multi-User):

  • ✅ Share with other Claude Code users
  • ✅ Remote access (deploy to cloud)
  • ✅ Multiple simultaneous clients
  • ✅ Testing with curl/Postman
  • ✅ Browser-based integrations

Deployment for Sharing

Quick Test (ngrok):

# Terminal 1: Start server
TRANSPORT_MODE=http pnpm start

# Terminal 2: Create tunnel
ngrok http 3000

# Share URL: Others add with
# claude mcp add --transport http your-server https://abc123.ngrok.io/mcp

Production (Cloud):

# Deploy to Railway, Render, Fly.io, AWS, etc.
# Set environment:
#   TRANSPORT_MODE=http
#   API_KEYS=key1,key2,key3

# Users connect:
claude mcp add --transport http your-server \
  https://your-domain.com/mcp \
  --header "Authorization: Bearer user_api_key"

Self-Host (GitHub):

# Share repo - users run their own instance
git clone your-repo
pnpm install && pnpm build
claude mcp add demo-server node -- $(pwd)/dist/servers/bare-metal/index.js

Implementation Details

Bare-Metal Approach

This implementation uses the official MCP SDK minimally, implementing core patterns manually:

Advantages:

  • Full control and transparency
  • Clear understanding of MCP mechanics
  • Easy to customize for specific needs
  • Minimal dependencies

Components:

  • Manual request routing and handler registration
  • Custom middleware pipeline
  • Direct transport setup (stdio readline, Express HTTP)
  • Explicit error handling patterns

Lines of Code: ~2500 (excluding tests)

Security Considerations

Production Checklist:

  • [x] Input validation with Zod schemas
  • [x] Path traversal protection for file access
  • [x] Expression sanitization to prevent code injection
  • [x] API key authentication (HTTP mode)
  • [x] Rate limiting (token bucket algorithm)
  • [x] Request tracing for audit logs
  • [x] Secure environment variable handling
  • [ ] HTTPS/TLS for HTTP transport (configure reverse proxy)
  • [ ] API key rotation mechanism (add to config)

Extension Guide

Adding a new tool is straightforward:

1. Create handler (servers/bare-metal/handlers/MyTool.ts):

export class MyTool implements CapabilityHandler<MyParams, MyResult> {
  validate(input: unknown): ValidationResult<MyParams> {
    return validateWithSchema(MyParamsSchema, input);
  }

  async execute(params: MyParams, context: ExecutionContext): Promise<Result<MyResult>> {
    // Your logic here
    return { success: true, data: result };
  }

  handleError(error: Error): MCPError {
    return { code: MCPErrorCode.InternalError, message: error.message };
  }
}

2. Register in index.ts:

toolRegistry.register('my_tool', new MyTool(), {
  name: 'my_tool',
  description: 'Does something useful',
  inputSchema: { /* JSON schema */ }
});

Done! Transport, routing, logging, and metrics work automatically.

Testing

# Run all tests
pnpm test

# Watch mode
pnpm test:watch

# Coverage report
pnpm test:coverage

Tests cover:

  • Unit tests for all handlers
  • Security validation (path traversal, injection attempts)
  • Middleware functionality (auth, rate limiting)
  • Integration tests for both transports

Project Structure

/mcp-demo
  /shared                    # Common utilities
    /types                   # TypeScript interfaces
    /security                # Validation, sanitization
    /observability           # Logging, metrics, tracing
    /config                  # Configuration management
    /utils                   # HTTP client, helpers
  /servers/bare-metal        # Bare-metal implementation
    /handlers                # Tool and resource handlers
    /transport               # Stdio and HTTP transports
    /middleware              # Auth, rate limiting
    /registry                # Capability registration
    /core                    # Message routing
    index.ts                 # Main entry point
  /tests                     # Test suites
  /docs                      # Specifications

License

MIT

Contributing

Contributions welcome! This project is designed as a learning resource and template for production MCP servers.

Focus areas:

  • Additional capability examples (database, caching, etc.)
  • Enhanced security patterns
  • Performance optimizations
  • Framework comparison implementations

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