Content
# Fast MCP 🚀
<div align="center">
<h3>Connect AI models to your Ruby applications with ease</h3>
<p>No complex protocols, no integration headaches, no compatibility issues – just beautiful, expressive Ruby code.</p>
</div>
<p align="center">
<a href="https://badge.fury.io/rb/fast-mcp"><img src="https://badge.fury.io/rb/fast-mcp.svg" alt="Gem Version" /></a>
<a href="https://github.com/yjacquin/fast-mcp/workflows/CI/badge.svg"><img src="https://github.com/yjacquin/fast-mcp/workflows/CI/badge.svg" alt="CI Status" /></a>
<a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License: MIT" /></a>
<a href="code_of_conduct.md"><img src="https://img.shields.io/badge/Contributor%20Covenant-2.1-4baaaa.svg" alt="Contributor Covenant" /></a>
<a href="https://discord.gg/9HHfAtY3HF"><img src = "https://dcbadge.limes.pink/api/server/https://discord.gg/9HHfAtY3HF?style=flat" alt="Discord invite link" /></a>
</p>
## 🌟 Interface your Servers with LLMs in minutes !
AI models are powerful, but they need to interact with your applications to be truly useful. Traditional approaches mean wrestling with:
- 🔄 Complex communication protocols and custom JSON formats
- 🔌 Integration challenges with different model providers
- 🧩 Compatibility issues between your app and AI tools
- 🧠 Managing the state between AI interactions and your data
Fast MCP solves all these problems by providing a clean, Ruby-focused implementation of the [Model Context Protocol](https://github.com/modelcontextprotocol), making AI integration a joy, not a chore.
## ✨ Features
- 🛠️ **Tools API** - Let AI models call your Ruby functions securely, with in-depth argument validation through [Dry-Schema](https://github.com/dry-rb/dry-schema).
- 📚 **Resources API** - Share data between your app and AI models
- 🔄 **Multiple Transports** - Choose from STDIO, HTTP, or SSE based on your needs
- 🧩 **Framework Integration** - Works seamlessly with Rails, Sinatra or any Rack app.
- 🔒 **Authentication Support** - Secure your AI-powered endpoints with ease
- 🚀 **Real-time Updates** - Subscribe to changes for interactive applications
- 🎯 **Dynamic Filtering** - Control tool/resource access based on request context (permissions, API versions, etc.)
## 💎 What Makes FastMCP Great
```ruby
# Define tools for AI models to use
server = FastMcp::Server.new(name: 'popular-users', version: '1.0.0')
# Define a tool by inheriting from FastMcp::Tool
class CreateUserTool < FastMcp::Tool
description "Create a user"
# These arguments will generate the needed JSON to be presented to the MCP Client
# And they will be validated at run time.
# The validation is based off Dry-Schema, with the addition of the description.
arguments do
required(:first_name).filled(:string).description("First name of the user")
optional(:age).filled(:integer).description("Age of the user")
required(:address).hash do
optional(:street).filled(:string)
optional(:city).filled(:string)
optional(:zipcode).filled(:string)
end
end
def call(first_name:, age: nil, address: {})
User.create!(first_name:, age:, address:)
end
end
# Register the tool with the server
server.register_tool(CreateUserTool)
# Share data resources with AI models by inheriting from FastMcp::Resource
class PopularUsers < FastMcp::Resource
uri "myapp:///users/popular"
resource_name "Popular Users"
mime_type "application/json"
def content
JSON.generate(User.popular.limit(5).as_json)
end
end
class User < FastMcp::Resource
uri "myapp:///users/{id}" # This is a resource template
resource_name "user"
mime_type "application/json"
def content
id = params[:id] # params are computed from the uri pattern
JSON.generate(User.find(id).as_json)
end
end
# Register the resource with the server
server.register_resources(PopularUsers, User)
# Accessing the resource through the server
server.read_resource(PopularUsers.uri)
# Notify the resource content has been updated to clients
server.notify_resource_updated(PopularUsers.variabilized_uri)
# Notifiy the content of a resource from a template has been updated to clients
server.notify_resource_updated(User.variabilized_uri(id: 1))
```
### 🎯 Dynamic Tool Filtering
Control which tools and resources are available based on request context:
```ruby
# Tag your tools for easy filtering
class AdminTool < FastMcp::Tool
tags :admin, :dangerous
description "Perform admin operations"
def call
# Admin only functionality
end
end
# Filter tools based on user permissions
server.filter_tools do |request, tools|
user_role = request.params['role']
case user_role
when 'admin'
tools # Admins see all tools
when 'user'
tools.reject { |t| t.tags.include?(:admin) }
else
tools.select { |t| t.tags.include?(:public) }
end
end
```
### 🚂 Fast Ruby on Rails implementation
```shell
bundle add fast-mcp
bin/rails generate fast_mcp:install
```
This will add a configurable `fast_mcp.rb` initializer
```ruby
require 'fast_mcp'
FastMcp.mount_in_rails(
Rails.application,
name: Rails.application.class.module_parent_name.underscore.dasherize,
version: '1.0.0',
path_prefix: '/mcp', # This is the default path prefix
messages_route: 'messages', # This is the default route for the messages endpoint
sse_route: 'sse', # This is the default route for the SSE endpoint
# Add allowed origins below, it defaults to Rails.application.config.hosts
# allowed_origins: ['localhost', '127.0.0.1', 'example.com', /.*\.example\.com/],
# localhost_only: true, # Set to false to allow connections from other hosts
# whitelist specific ips to if you want to run on localhost and allow connections from other IPs
# allowed_ips: ['127.0.0.1', '::1']
# authenticate: true, # Uncomment to enable authentication
# auth_token: 'your-token' # Required if authenticate: true
) do |server|
Rails.application.config.after_initialize do
# FastMcp will automatically discover and register:
# - All classes that inherit from ApplicationTool (which uses ActionTool::Base)
# - All classes that inherit from ApplicationResource (which uses ActionResource::Base)
server.register_tools(*ApplicationTool.descendants)
server.register_resources(*ApplicationResource.descendants)
# alternatively, you can register tools and resources manually:
# server.register_tool(MyTool)
# server.register_resource(MyResource)
end
end
```
The install script will also:
- add app/resources folder
- add app/tools folder
- add app/tools/sample_tool.rb
- add app/resources/sample_resource.rb
- add ApplicationTool to inherit from
- add ApplicationResource to inherit from as well
#### Rails-friendly class naming conventions
For Rails applications, FastMCP provides Rails-style class names to better fit with Rails conventions:
- `ActionTool::Base` - An alias for `FastMcp::Tool`
- `ActionResource::Base` - An alias for `FastMcp::Resource`
These are automatically set up in Rails applications. You can use either naming convention in your code:
```ruby
# Using Rails-style naming:
class MyTool < ActionTool::Base
description "My awesome tool"
arguments do
required(:input).filled(:string)
end
def call(input:)
# Your implementation
end
end
# Using standard FastMcp naming:
class AnotherTool < FastMcp::Tool
# Both styles work interchangeably in Rails apps
end
```
When creating new tools or resources, the generators will use the Rails naming convention by default:
```ruby
# app/tools/application_tool.rb
class ApplicationTool < ActionTool::Base
# Base methods for all tools
end
# app/resources/application_resource.rb
class ApplicationResource < ActionResource::Base
# Base methods for all resources
end
```
### Easy Sinatra setup
I'll let you check out the dedicated [sinatra integration docs](./docs/sinatra_integration.md).
## 🚀 Quick Start
### Create a Server with Tools and Resources and STDIO transport
```ruby
require 'fast_mcp'
# Create an MCP server
server = FastMcp::Server.new(name: 'my-ai-server', version: '1.0.0')
# Define a tool by inheriting from FastMcp::Tool
class SummarizeTool < FastMcp::Tool
description "Summarize a given text"
arguments do
required(:text).filled(:string).description("Text to summarize")
optional(:max_length).filled(:integer).description("Maximum length of summary")
end
def call(text:, max_length: 100)
# Your summarization logic here
text.split('.').first(3).join('.') + '...'
end
end
# Register the tool with the server
server.register_tool(SummarizeTool)
# Create a resource by inheriting from FastMcp::Resource
class StatisticsResource < FastMcp::Resource
uri "data/statistics"
resource_name "Usage Statistics"
description "Current system statistics"
mime_type "application/json"
def content
JSON.generate({
users_online: 120,
queries_per_minute: 250,
popular_topics: ["Ruby", "AI", "WebDev"]
})
end
end
# Register the resource with the server
server.register_resource(StatisticsResource)
# Start the server
server.start
```
## 🧪 Testing with the inspector
MCP has developed a very [useful inspector](https://github.com/modelcontextprotocol/inspector).
You can use it to validate your implementation. I suggest you use the examples I provided with this project as an easy boilerplate.
Clone this project, then give it a go !
```shell
npx @modelcontextprotocol/inspector examples/server_with_stdio_transport.rb
```
Or to test with an SSE transport using a rack middleware:
```shell
npx @modelcontextprotocol/inspector examples/rack_middleware.rb
```
Or to test over SSE with an authenticated rack middleware:
```shell
npx @modelcontextprotocol/inspector examples/authenticated_rack_middleware.rb
```
You can test your custom implementation with the official MCP inspector by using:
```shell
# Test with a stdio transport:
npx @modelcontextprotocol/inspector path/to/your_ruby_file.rb
# Test with an HTTP / SSE server. In the UI select SSE and input your address.
npx @modelcontextprotocol/inspector
```
#### Sinatra
```ruby
# app.rb
require 'sinatra'
require 'fast_mcp'
use FastMcp::RackMiddleware.new(name: 'my-ai-server', version: '1.0.0') do |server|
# Register tools and resources here
server.register_tool(SummarizeTool)
end
get '/' do
'Hello World!'
end
```
### Integrating with Claude Desktop
Add your server to your Claude Desktop configuration at:
- macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
- Windows: `%APPDATA%\Claude\claude_desktop_config.json`
```json
{
"mcpServers": {
"my-great-server": {
"command": "ruby",
"args": [
"/Users/path/to/your/awesome/fast-mcp/server.rb"
]
}
}
}
```
## How to add a MCP server to Claude, Cursor, or other MCP clients?
Please refer to [configuring_mcp_clients](docs/configuring_mcp_clients.md)
## 📊 Supported Specifications
| Feature | Status |
|---------|--------|
| ✅ **JSON-RPC 2.0** | Full implementation for communication |
| ✅ **Tool Definition & Calling** | Define and call tools with rich argument types |
| ✅ **Resource & Resource Templates Management** | Create, read, update, and subscribe to resources |
| ✅ **Transport Options** | STDIO, HTTP, and SSE for flexible integration |
| ✅ **Framework Integration** | Rails, Sinatra, Hanami, and any Rack-compatible framework |
| ✅ **Authentication** | Secure your AI endpoints with token authentication |
| ✅ **Schema Support** | Full JSON Schema for tool arguments with validation |
## 🗺️ Use Cases
- 🤖 **AI-powered Applications**: Connect LLMs to your Ruby app's functionality
- 📊 **Real-time Dashboards**: Build dashboards with live AI-generated insights
- 🔗 **Microservice Communication**: Use MCP as a clean protocol between services
- 📚 **Interactive Documentation**: Create AI-enhanced API documentation
- 💬 **Chatbots and Assistants**: Build AI assistants with access to your app's data
## 🔒 Security Features
Fast MCP includes built-in security features to protect your applications:
### DNS Rebinding Protection
The HTTP/SSE transport validates the Origin header on all incoming connections to prevent DNS rebinding attacks, which could allow malicious websites to interact with local MCP servers.
```ruby
# Configure allowed origins (defaults to ['localhost', '127.0.0.1'])
FastMcp.rack_middleware(app,
allowed_origins: ['localhost', '127.0.0.1', 'your-domain.com', /.*\.your-domain\.com/],
localhost_only: false,
allowed_ips: ['192.168.1.1', '10.0.0.1'],
# other options...
)
```
### Authentication
Fast MCP supports token-based authentication for all connections:
```ruby
# Enable authentication
FastMcp.authenticated_rack_middleware(app,
auth_token: 'your-secret-token',
# other options...
)
```
## 📖 Documentation
- [🚀 Getting Started Guide](docs/getting_started.md)
- [🧩 Integration Guide](docs/integration_guide.md)
- [🛤️ Rails Integration](docs/rails_integration.md)
- [🌐 Sinatra Integration](docs/sinatra_integration.md)
- [📚 Resources](docs/resources.md)
- [🛠️ Tools](docs/tools.md)
- [🔒 Security](docs/security.md)
- [🎯 Dynamic Filtering](docs/filtering.md)
## 💻 Examples
Check out the [examples directory](examples) for more detailed examples:
- **🔨 Basic Examples**:
- [Simple Server](examples/server_with_stdio_transport.rb)
- [Tool Examples](examples/tool_examples.rb)
- **🌐 Web Integration**:
- [Rack Middleware](examples/rack_middleware.rb)
- [Authenticated Endpoints](examples/authenticated_rack_middleware.rb)
## 🧪 Requirements
- Ruby 3.2+
## 👥 Contributing
We welcome contributions to Fast MCP! Here's how you can help:
1. Fork the repository
2. Create your feature branch (`git checkout -b my-new-feature`)
3. Commit your changes (`git commit -am 'Add some feature'`)
4. Push to the branch (`git push origin my-new-feature`)
5. Create a new Pull Request
Please read our [Contributing Guide](CONTRIBUTING.md) for more details.
## 📄 License
This project is available as open source under the terms of the [MIT License](https://opensource.org/licenses/MIT).
## 🙏 Acknowledgments
- The [Model Context Protocol](https://github.com/modelcontextprotocol) team for creating the specification
- The [Dry-Schema](https://github.com/dry-rb/dry-schema) team for the argument validation.
- All contributors to this project
You Might Also Like
Ollama
Ollama enables quick access to large language models across platforms.

n8n
n8n is a secure workflow automation platform for technical teams with 400+...

Dify
Dify is a cloud platform for AI workflows, enabling file uploads and self-hosting.
OpenWebUI
Open WebUI is an extensible web interface for various applications.

Zed
Zed is a high-performance multiplayer code editor from the creators of Atom.
MarkItDown MCP
A lightweight MCP server for converting URIs to Markdown format.