ez-mcp

The easiest path to getting an MCP server going

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EZ-MCP: The Fastest Way to Build MCP Servers

Get an MCP server running in under 2 minutes! This repository contains complete, ready-to-run templates for single file self-contained MCP servers in both Python/uv and TypeScript/Deno.

🚀 Why EZ-MCP?
  • ⚡ Instant Setup: Copy, paste, run - no complex configuration needed
  • 🎯 Production Ready: Both templates use official Anthropic SDKs
  • 📚 Comprehensive Examples: Everything documented with working code
  • 🔧 Easily Extensible: Add your own tools, resources, and prompts in minutes
  • 💡 Perfect for Experimentation: The fastest way to test MCP ideas locally
📁 What You Get

Two functionally identical, battle-tested templates:

  • ez-mcp.py - Python server using official MCP SDK with UV
  • ez-mcp.ts - TypeScript server using official MCP SDK with Deno

Each template demonstrates all core MCP features:

  • 📊 Resources: Dynamic data sources for LLM context
  • 🛠️ Tools: Functions LLMs can call to perform actions
  • 📝 Prompts: Reusable templates for LLM interactions
  • ⚙️ Configuration: Environment variable support
⚡ Quick Test Drive

Want to see these servers in action? Pick your language and run:

Python Version
# Install uv (if not already installed)
curl -LsSf https://astral.sh/uv/install.sh | sh

# Clone and run immediately
git clone <this-repo>
cd ez-mcp
uv run ez-mcp.py
TypeScript Version
# Install Deno (if not already installed)
curl -fsSL https://deno.land/install.sh | sh

# Clone and run immediately
git clone <this-repo>
cd ez-mcp
deno run --allow-all ez-mcp.ts

Both servers will start immediately and show you what's available!

🎯 Create Your Own Server (Copy & Customise in 5 Minutes)

The fastest way to build your own MCP server is to copy one of our templates and customise it. Both templates are functionally identical and production-ready - just pick your preferred language!

For Python Developers:
  1. Copy the template:

    curl -O https://raw.githubusercontent.com/your-repo/ez-mcp/main/ez-mcp.py
    # Or just copy the ez-mcp.py file contents from this repo
    
  2. Rename and customise:

    cp ez-mcp.py my-awesome-server.py
    
  3. Edit the server details (around line 160):

    mcp = FastMCP(
        name="My Awesome Server",  # <- Change this to your server name
        dependencies=["mcp>=1.9.0"]
    )
    
  4. Add your own tools (copy this pattern anywhere in the file):

    @mcp.tool()
    def my_custom_tool(input_text: str) -> str:
        """Describe what your tool does"""
        # Your logic here
        return f"Processed: {input_text}"
    
  5. Run your server:

    uv run my-awesome-server.py
    
For TypeScript/JavaScript Developers:
  1. Copy the template:

    curl -O https://raw.githubusercontent.com/your-repo/ez-mcp/main/ez-mcp.ts
    # Or just copy the ez-mcp.ts file contents from this repo
    
  2. Rename and customise:

    cp ez-mcp.ts my-awesome-server.ts
    chmod +x my-awesome-server.ts
    
  3. Edit the server details (around line 160):

    const server = new McpServer({
      name: "My Awesome Server",  // <- Change this to your server name
      version: "1.0.0"
    });
    
  4. Add your own tools (copy this pattern anywhere in the file):

    server.tool(
      "my-custom-tool",
      { input_text: z.string() },
      async ({ input_text }) => ({
        content: [{ type: "text", text: `Processed: ${input_text}` }]
      })
    );
    
  5. Run your server:

    deno run --allow-all my-awesome-server.ts
    
🎉 That's It!

You now have a working MCP server! The templates include extensive inline documentation and examples for adding:

  • Database connections (SQLite, PostgreSQL, etc.)
  • API integrations (REST APIs, GraphQL, etc.)
  • File operations (reading, writing, searching)
  • Web scraping
  • Environment variables and configuration
  • Error handling and validation

Just read through the template code - it's designed to teach you everything you need to know!

� Connect to MCP Clients

Once your server is running, connect it to any MCP client:

MCP Client Configuration

Add to your mcp.json file:

Python Server
{
  "mcpServers": {
    "my-python-server": {
      "command": "uv",
      "args": ["run", "/absolute/path/to/your-server.py"],
      "env": {
        "MY_API_KEY": "your-key-here"
      }
    }
  }
}
TypeScript Server
{
  "mcpServers": {
    "my-typescript-server": {
      "command": "deno", 
      "args": ["run", "--allow-all", "/absolute/path/to/your-server.ts"],
      "env": {
        "MY_API_KEY": "your-key-here"
      }
    }
  }
}
🛠️ Development and Testing
Use MCP Inspector for Development

The MCP Inspector provides a web interface to test your server:

Python
# Install the inspector
pip install mcp

# Run with inspector
uv run mcp dev your-server.py
TypeScript
# Install the inspector
npm install -g @modelcontextprotocol/inspector

# Run with inspector  
npx @modelcontextprotocol/inspector deno run --allow-all your-server.ts

This opens a web interface where you can:

  • 🔍 Browse available tools, resources, and prompts
  • ▶️ Test tools with different parameters
  • 📖 View resource contents
  • 🧪 Experiment with prompts
Adding Dependencies
Python

Edit the dependencies section at the top of your .py file:

# dependencies = [
#   "mcp>=1.9.0",
#   "requests",     # For HTTP requests
#   "pandas",       # For data manipulation  
#   "sqlalchemy",   # For database access
# ]
TypeScript

Simply import what you need - Deno handles the rest:

import { parse } from "https://deno.land/std@0.224.0/csv/mod.ts";
import { serve } from "https://deno.land/std@0.224.0/http/server.ts";
import { DB } from "https://deno.land/x/sqlite@v3.8/mod.ts";
💡 Real-World Examples
Quick File Search Tool
# Python
@mcp.tool()
def search_files(pattern: str, directory: str = ".") -> str:
    """Search for files matching a pattern"""
    import glob
    import os
    matches = glob.glob(os.path.join(directory, f"**/*{pattern}*"), recursive=True)
    return f"Found {len(matches)} files: {matches[:10]}"  # Show first 10
// TypeScript  
server.tool(
  "search-files",
  { pattern: z.string(), directory: z.string().default(".") },
  async ({ pattern, directory }) => {
    const matches = [];
    for await (const entry of Deno.readDir(directory)) {
      if (entry.name.includes(pattern)) {
        matches.push(entry.name);
      }
    }
    return {
      content: [{ type: "text", text: `Found files: ${matches.join(", ")}` }]
    };
  }
);
Web Scraper Tool
# Python (add "requests" to dependencies)
@mcp.tool()
async def scrape_url(url: str) -> str:
    """Scrape text content from a URL"""
    import httpx
    async with httpx.AsyncClient() as client:
        response = await client.get(url)
        return response.text[:1000]  # First 1000 chars
// TypeScript
server.tool(
  "scrape-url", 
  { url: z.string() },
  async ({ url }) => {
    const response = await fetch(url);
    const text = await response.text();
    return {
      content: [{ type: "text", text: text.slice(0, 1000) }]
    };
  }
);
Database Query Tool
# Python (add "sqlite3" - built-in)
@mcp.tool()
def query_db(sql: str) -> str:
    """Execute a SQL query"""
    import sqlite3
    conn = sqlite3.connect("data.db")
    results = conn.execute(sql).fetchall()
    conn.close()
    return str(results)
// TypeScript
import { DB } from "https://deno.land/x/sqlite@v3.8/mod.ts";

const db = new DB("data.db");

server.tool(
  "query-db",
  { sql: z.string() },
  async ({ sql }) => {
    const results = db.queryEntries(sql);
    return {
      content: [{ type: "text", text: JSON.stringify(results, null, 2) }]
    };
  }
);
🏗️ Template Features Explained

Both templates include identical functionality to demonstrate all MCP capabilities:

📊 Resources (Data Sources)
  • server://info - Dynamic server information
  • Shows how to create data sources that LLMs can access
  • Perfect for configuration, documentation, or live data
🛠️ Tools (LLM Functions)
  • hello_someone (Python) / hello-someone (TypeScript)
  • Demonstrates parameter validation and environment variables
  • Template for any function you want LLMs to call
📝 Prompts (Templates)
  • greeting_prompt (Python) / greeting-prompt (TypeScript)
  • Shows how to create reusable prompt templates
  • Perfect for complex instructions or workflows
⚙️ Configuration
  • Environment variable support (GREETING_PREFIX)
  • Error handling and input validation
  • Production-ready logging and startup messages
� Common Use Cases

Perfect for:

  • 🧪 Rapid Prototyping: Test MCP ideas in minutes
  • 🔧 Personal Automation: Quick scripts for daily tasks
  • 📊 Data Access: Connect LLMs to your databases/APIs
  • 🌐 Web Integration: Scrape sites, call APIs, process data
  • 📁 File Operations: Search, read, write, organise files
  • 🔍 Development Tools: Code analysis, documentation, testing
  • 💼 Business Logic: Custom workflows and integrations
📚 Learn More & Get Help
Essential Resources
Deep Dive Into the Code

Both template files contain extensive inline documentation with:

  • Line-by-line explanations
  • Advanced usage patterns
  • Integration examples (databases, APIs, file systems)
  • Error handling best practices
  • Performance optimisation tips
  • Production deployment guidance

Read the source code - it's designed to teach you everything you need to know!

🤝 Contributing & Feedback

Found these templates helpful? Have ideas for improvements? We'd love to hear from you!

  • 🐛 Report issues or suggest features
  • 📝 Share your cool MCP server creations
  • 🔧 Submit improvements to the templates
  • 📚 Help improve documentation
📜 License

MIT License - Use these templates however you want! See LICENSE file for details.

© Eleanor Berger — ai.intellectronica.net