A Ruby gem for implementing Model Context Protocol servers
The ModelContextProtocol::Server
class is the core component that handles JSON-RPC requests and responses.
It implements the Model Context Protocol specification, handling model context requests and responses.
- Implements JSON-RPC 2.0 message handling
- Supports protocol initialization and capability negotiation
- Manages tool registration and invocation
- Supports prompt registration and execution
- Supports resource registration and retrieval
initialize
- Initializes the protocol and returns server capabilitiesping
- Simple health checktools/list
- Lists all registered tools and their schemastools/call
- Invokes a specific tool with provided argumentsprompts/list
- Lists all registered prompts and their schemasprompts/get
- Retrieves a specific prompt by nameresources/list
- Lists all registered resources and their schemasresources/read
- Retrieves a specific resource by nameresources/templates/list
- Lists all registered resource templates and their schemas
- Notifications
- Log Level
- Resource subscriptions
- Completions
- Complete StreamableHTTP implementation with streaming responses
When added to a Rails controller on a route that handles POST requests, your server will be compliant with non-streaming StreamableHTTP transport requests.
You can use the Server#handle_json
method to handle requests.
module ModelContextProtocol
class ApplicationController < ActionController::Base
def index
server = ModelContextProtocol::Server.new(
name: "my_server",
version: "1.0.0",
tools: [SomeTool, AnotherTool],
prompts: [MyPrompt],
server_context: { user_id: current_user.id },
)
render(json: server.handle_json(request.body.read).to_h)
end
end
end
If you want to build a local command-line application, you can use the stdio transport:
#!/usr/bin/env ruby
require "model_context_protocol"
require "model_context_protocol/transports/stdio"
# Create a simple tool
class ExampleTool < ModelContextProtocol::Tool
description "A simple example tool that echoes back its arguments"
input_schema(
properties: {
message: { type: "string" },
},
required: ["message"]
)
class << self
def call(message:, server_context:)
ModelContextProtocol::Tool::Response.new([{
type: "text",
text: "Hello from example tool! Message: #{message}",
}])
end
end
end
# Set up the server
server = ModelContextProtocol::Server.new(
name: "example_server",
tools: [ExampleTool],
)
# Create and start the transport
transport = ModelContextProtocol::Transports::StdioTransport.new(server)
transport.open
You can run this script and then type in requests to the server at the command line.
$ ./stdio_server.rb
{"jsonrpc":"2.0","id":"1","result":"pong"}
{"jsonrpc":"2.0","id":"2","result":["ExampleTool"]}
{"jsonrpc":"2.0","id":"3","result":["ExampleTool"]}
The gem can be configured using the ModelContextProtocol.configure
block:
ModelContextProtocol.configure do |config|
config.exception_reporter = do |exception, server_context|
# Your exception reporting logic here
# For example with Bugsnag:
Bugsnag.notify(exception) do |report|
report.add_metadata(:model_context_protocol, server_context)
end
end
config.instrumentation_callback = do |data|
puts "Got instrumentation data #{data.inspect}"
end
end
or by creating an explicit configuration and passing it into the server. This is useful for systems where an application hosts more than one MCP server but they might require different instrumentation callbacks.
configuration = ModelContextProtocol::Configuration.new
configuration.exception_reporter = do |exception, server_context|
# Your exception reporting logic here
# For example with Bugsnag:
Bugsnag.notify(exception) do |report|
report.add_metadata(:model_context_protocol, server_context)
end
end
configuration.instrumentation_callback = do |data|
puts "Got instrumentation data #{data.inspect}"
end
server = ModelContextProtocol::Server.new(
# ... all other options
configuration:,
)
The server_context
is a user-defined hash that is passed into the server instance and made available to tools, prompts, and exception/instrumentation callbacks. It can be used to provide contextual information such as authentication state, user IDs, or request-specific data.
Type:
server_context: { [String, Symbol] => Any }
Example:
server = ModelContextProtocol::Server.new(
name: "my_server",
server_context: { user_id: current_user.id, request_id: request.uuid }
)
This hash is then passed as the server_context
argument to tool and prompt calls, and is included in exception and instrumentation callbacks.
The exception reporter receives:
exception
: The Ruby exception object that was raisedserver_context
: The context hash provided to the server
Signature:
exception_reporter = ->(exception, server_context) { ... }
The instrumentation callback receives a hash with the following possible keys:
method
: (String) The protocol method called (e.g., "ping", "tools/list")tool_name
: (String, optional) The name of the tool calledprompt_name
: (String, optional) The name of the prompt calledresource_uri
: (String, optional) The URI of the resource callederror
: (String, optional) Error code if a lookup failedduration
: (Float) Duration of the call in seconds
Type:
instrumentation_callback = ->(data) { ... }
# where data is a Hash with keys as described above
Example:
config.instrumentation_callback = ->(data) do
puts "Instrumentation: #{data.inspect}"
end
The server's protocol version can be overridden using the protocol_version
class method:
ModelContextProtocol::Server.protocol_version = "2024-11-05"
This will make all new server instances use the specified protocol version instead of the default version. The protocol version can be reset to the default by setting it to nil
:
ModelContextProtocol::Server.protocol_version = nil
Be sure to check the MCP spec for the protocol version to understand the supported features for the version being set.
The exception reporter receives two arguments:
exception
: The Ruby exception object that was raisedserver_context
: A hash containing contextual information about where the error occurred
The server_context hash includes:
- For tool calls:
{ tool_name: "name", arguments: { ... } }
- For general request handling:
{ request: { ... } }
When an exception occurs:
- The exception is reported via the configured reporter
- For tool calls, a generic error response is returned to the client:
{ error: "Internal error occurred", isError: true }
- For other requests, the exception is re-raised after reporting
If no exception reporter is configured, a default no-op reporter is used that silently ignores exceptions.
MCP spec includes Tools which provide functionality to LLM apps.
This gem provides a ModelContextProtocol::Tool
class that can be used to create tools in two ways:
- As a class definition:
class MyTool < ModelContextProtocol::Tool
description "This tool performs specific functionality..."
input_schema(
properties: {
message: { type: "string" },
},
required: ["message"]
)
annotations(
title: "My Tool",
read_only_hint: true,
destructive_hint: false,
idempotent_hint: true,
open_world_hint: false
)
def self.call(message:, server_context:)
Tool::Response.new([{ type: "text", text: "OK" }])
end
end
tool = MyTool
- By using the
ModelContextProtocol::Tool.define
method with a block:
tool = ModelContextProtocol::Tool.define(
name: "my_tool",
description: "This tool performs specific functionality...",
annotations: {
title: "My Tool",
read_only_hint: true
}
) do |args, server_context|
Tool::Response.new([{ type: "text", text: "OK" }])
end
The server_context parameter is the server_context passed into the server and can be used to pass per request information, e.g. around authentication state.
Tools can include annotations that provide additional metadata about their behavior. The following annotations are supported:
title
: A human-readable title for the toolread_only_hint
: Indicates if the tool only reads data (doesn't modify state)destructive_hint
: Indicates if the tool performs destructive operationsidempotent_hint
: Indicates if the tool's operations are idempotentopen_world_hint
: Indicates if the tool operates in an open world context
Annotations can be set either through the class definition using the annotations
class method or when defining a tool using the define
method.
MCP spec includes Prompts, which enable servers to define reusable prompt templates and workflows that clients can easily surface to users and LLMs.
The ModelContextProtocol::Prompt
class provides two ways to create prompts:
- As a class definition with metadata:
class MyPrompt < ModelContextProtocol::Prompt
prompt_name "my_prompt" # Optional - defaults to underscored class name
description "This prompt performs specific functionality..."
arguments [
Prompt::Argument.new(
name: "message",
description: "Input message",
required: true
)
]
class << self
def template(args, server_context:)
Prompt::Result.new(
description: "Response description",
messages: [
Prompt::Message.new(
role: "user",
content: Content::Text.new("User message")
),
Prompt::Message.new(
role: "assistant",
content: Content::Text.new(args["message"])
)
]
)
end
end
end
prompt = MyPrompt
- Using the
ModelContextProtocol::Prompt.define
method:
prompt = ModelContextProtocol::Prompt.define(
name: "my_prompt",
description: "This prompt performs specific functionality...",
arguments: [
Prompt::Argument.new(
name: "message",
description: "Input message",
required: true
)
]
) do |args, server_context:|
Prompt::Result.new(
description: "Response description",
messages: [
Prompt::Message.new(
role: "user",
content: Content::Text.new("User message")
),
Prompt::Message.new(
role: "assistant",
content: Content::Text.new(args["message"])
)
]
)
end
The server_context parameter is the server_context passed into the server and can be used to pass per request information, e.g. around authentication state or user preferences.
Prompt::Argument
- Defines input parameters for the prompt templatePrompt::Message
- Represents a message in the conversation with a role and contentPrompt::Result
- The output of a prompt template containing description and messagesContent::Text
- Text content for messages
Register prompts with the MCP server:
server = ModelContextProtocol::Server.new(
name: "my_server",
prompts: [MyPrompt],
server_context: { user_id: current_user.id },
)
The server will handle prompt listing and execution through the MCP protocol methods:
prompts/list
- Lists all registered prompts and their schemasprompts/get
- Retrieves and executes a specific prompt with arguments
The server allows registering a callback to receive information about instrumentation.
To register a handler pass a proc/lambda to as instrumentation_callback
into the server constructor.
ModelContextProtocol.configure do |config|
config.instrumentation_callback = do |data|
puts "Got instrumentation data #{data.inspect}"
end
end
The data contains the following keys:
method
: the metod called, e.g. ping
, tools/list
, tools/call
etc
tool_name
: the name of the tool called
prompt_name
: the name of the prompt called
resource_uri
: the uri of the resource called
error
: if looking up tools/prompts etc failed, e.g. tool_not_found
duration
: the duration of the call in seconds
tool_name
, prompt_name
and resource_uri
are only populated if a matching handler is registered.
This is to avoid potential issues with metric cardinality
MCP spec includes Resources
The ModelContextProtocol::Resource
class provides a way to register resources with the server.
resource = ModelContextProtocol::Resource.new(
uri: "example.com/my_resource",
mime_type: "text/plain",
text: "Lorem ipsum dolor sit amet"
)
server = ModelContextProtocol::Server.new(
name: "my_server",
resources: [resource],
)
The server must register a handler for the resources/read
method to retrieve a resource dynamically.
server.resources_read_handler do |params|
[{
uri: params[:uri],
mimeType: "text/plain",
text: "Hello, world!",
}]
end
otherwise 'resources/read' requests will be a no-op.
TODO