FastMCP Documentation

Streamlined documentation for building and deploying FastMCP servers to FastMCP Cloud

🚀 Quick Start

1. Install FastMCP

pip install fastmcp

2. Create Your Server

from fastmcp import FastMCP

# MUST be at module level for FastMCP Cloud
mcp = FastMCP("my-server")

@mcp.tool()
async def hello(name: str) -> str:
    """Say hello to someone."""
    return f"Hello, {name}!"

3. Deploy to FastMCP Cloud

1. Push your code to GitHub
2. Connect repository at fastmcp.cloud
3. Add environment variables
4. Deploy with one click

📚 Documentation

Essential Guides

• docs/GUIDE.md - Complete development guide
• docs/REFERENCE.md - Quick CLI reference
• docs/CLOUD_DEPLOYMENT.md - FastMCP Cloud deployment guide

Feature Documentation

• docs/FEATURES.md - Advanced FastMCP v2 features
• docs/INTEGRATIONS.md - API integration patterns
• docs/PATTERNS.md - Common patterns and solutions

Development Tools

• docs/CLI.md - CLI command reference
• docs/TROUBLESHOOTING.md - Debugging guide

🎯 Templates

Simple Template

For straightforward servers with basic functionality:

templates/simple/
├── server.py              # Basic server implementation
├── server_advanced.py     # Advanced features example
├── handlers.py           # Client handlers
└── requirements.txt      # Dependencies

Modular Template

Production-ready structure matching our SimPro pattern:

templates/modular/
├── src/
│   ├── server.py         # Main entry point
│   ├── tools/           # Organized tool modules
│   ├── resources/       # Resource definitions
│   ├── prompts/         # Prompt templates
│   └── shared/          # Shared utilities
└── requirements.txt

⚡ FastMCP Cloud Requirements

Critical for Cloud Deployment

1. Module-level server object named mcp, server, or app
2. PyPI dependencies only in requirements.txt
3. Public GitHub repository (or accessible to FastMCP Cloud)
4. Environment variables for configuration

Example Cloud-Ready Server

# server.py
from fastmcp import FastMCP
import os

# MUST be at module level
mcp = FastMCP(
    name="production-server"
)

# Use environment variables
API_KEY = os.getenv("API_KEY")
DATABASE_URL = os.getenv("DATABASE_URL")

@mcp.tool()
async def production_tool(data: str) -> dict:
    """Production-ready tool."""
    # Your implementation here
    return {"status": "success", "data": data}

# Optional: for local testing
if __name__ == "__main__":
    import asyncio
    asyncio.run(mcp.run())

🔧 Common Use Cases

API Integration Server

from fastmcp import FastMCP
import httpx

mcp = FastMCP("api-server")

@mcp.tool()
async def fetch_data(endpoint: str) -> dict:
    """Fetch data from API."""
    async with httpx.AsyncClient() as client:
        response = await client.get(f"https://api.example.com/{endpoint}")
        return response.json()

Data Processing Server

from fastmcp import FastMCP

mcp = FastMCP("data-processor")

@mcp.tool()
async def process_csv(data: str) -> dict:
    """Process CSV data."""
    rows = data.split('\n')
    return {"rows": len(rows), "processed": True}

AI Integration Server

from fastmcp import FastMCP
from openai import AsyncOpenAI

mcp = FastMCP("ai-server")
client = AsyncOpenAI()

@mcp.tool()
async def generate_text(prompt: str) -> str:
    """Generate text using AI."""
    response = await client.chat.completions.create(
        model="gpt-4",
        messages=[{"role": "user", "content": prompt}]
    )
    return response.choices[0].message.content

🏗️ Project Structure

fastmcp-documentation/
├── README.md              # This file
├── docs/                  # Core documentation
│   ├── GUIDE.md          # Development guide
│   ├── REFERENCE.md      # Quick reference
│   ├── CLOUD_DEPLOYMENT.md # Cloud deployment
│   ├── FEATURES.md       # Advanced features
│   ├── INTEGRATIONS.md   # API integrations
│   ├── PATTERNS.md       # Common patterns
│   ├── CLI.md           # CLI reference
│   └── TROUBLESHOOTING.md # Debug guide
├── templates/            # Project templates
│   ├── simple/          # Basic server template
│   └── modular/         # Production template
└── complex-detail/      # Advanced topics (self-hosting, infrastructure)

🌟 FastMCP v2 Features

• ✅ Resource Templates - Dynamic resources with parameters
• ✅ Elicitation - Interactive user input during execution
• ✅ Progress Tracking - Monitor long-running operations
• ✅ Sampling - LLM integration for servers
• ✅ Client Handlers - Handle client events
• ✅ Tool Transformation - Enhance existing tools
• ✅ Server Composition - Mount sub-servers

🚦 Getting Started Steps

1. Choose a Template

• Simple: For basic servers with few tools
• Modular: For production servers with multiple features

2. Develop Locally

# Install FastMCP
pip install fastmcp

# Test your server
fastmcp dev server.py

3. Deploy to Cloud

• Push to GitHub
• Connect at fastmcp.cloud
• Configure environment variables
• Deploy instantly

🔍 Troubleshooting

Common Issues

"No server object found"

• Ensure your server object is at module level
• Name it mcp, server, or app

"Module not found"

• Use only PyPI packages in requirements.txt
• No local packages or git URLs

"Environment variable not set"

• Add variables in FastMCP Cloud dashboard
• Use os.getenv() with defaults

🛠️ Advanced Topics

For advanced deployment scenarios, see the complex-detail/ folder:

• Self-hosting with Docker/Kubernetes
• Cloud infrastructure (AWS, Azure, GCP)
• CI/CD pipelines
• Monitoring and scaling

🔗 Resources

• FastMCP Cloud - Deploy your servers
• FastMCP GitHub - Source code
• MCP Protocol - Protocol specification
• Context 7 official docs library: context7CompatibleLibraryID: "/jlowin/fastmcp"

📝 License

This documentation is for internal reference and development guidance.

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Last Updated: August 2025 FastMCP Version: 2.12.0+