What is Ez Mcp

EZ-MCP is a repository that provides ready-to-run templates for building MCP servers quickly and easily using Python/uv and TypeScript/Deno.

Use cases

Use cases for EZ-MCP include rapid development of AI applications, testing new MCP ideas locally, and creating customized MCP servers for specific projects.

How to use

To use EZ-MCP, simply clone the repository, install the required runtime (uv for Python or Deno for TypeScript), and run the provided server template with a single command.

Key features

EZ-MCP offers instant setup, production-ready templates using official Anthropic SDKs, comprehensive examples, easy extensibility for custom tools and prompts, and is perfect for local experimentation.

Where to use

EZ-MCP can be used in various fields such as software development, AI research, and educational purposes where quick prototyping of MCP servers is needed.

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/[email protected]/csv/mod.ts";
import { serve } from "https://deno.land/[email protected]/http/server.ts";
import { DB } from "https://deno.land/x/[email protected]/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/[email protected]/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

• 📖 MCP Specification: https://modelcontextprotocol.io/
• 🐍 Python SDK Docs: https://github.com/modelcontextprotocol/python-sdk
• 📜 TypeScript SDK Docs: https://github.com/modelcontextprotocol/typescript-sdk
• � MCP Community: Join the discussions and get help

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