Model Context Protocol (MCP) Implementation
Overview
This package implements the Model Context Protocol (MCP) server specification in Go, providing a framework for real-time communication between AI models and clients using Server-Sent Events (SSE). The implementation follows the standardized protocol for building AI-assisted applications with bidirectional communication capabilities.
Core Components
Server-Sent Events (SSE) Communication
- Real-time Communication: Robust SSE-based communication system that maintains persistent connections with clients
- Connection Management: Client registration, message broadcasting, and client cleanup mechanisms
- Event Handling: Event types for tools, prompts, and resources changes
JSON-RPC Implementation
- Request Processing: Complete JSON-RPC request processor for handling MCP protocol methods
- Response Formatting: Proper response formatting according to JSON-RPC specifications
- Error Handling: Comprehensive error handling with appropriate error codes
Tool Management
- Tool Registration: System to register custom tools with handlers
- Tool Execution: Mechanism to execute tool functions with proper timeout handling
- Result Handling: Flexible result handling supporting various return types (string, JSON, images)
Prompt System
- Prompt Registration: System for registering both static and dynamic prompts
- Argument Validation: Validation for required arguments and default values for optional ones
- Message Generation: Handlers that generate properly formatted conversation messages
Resource Management
- Resource Registration: System for managing and accessing external resources
- Content Delivery: Handlers for delivering resource content to clients on demand
- Resource Subscription: Mechanisms for clients to subscribe to resource updates
Protocol Features
- Initialization Sequence: Proper handshaking with capability negotiation
- Notification Handling: Support for both standard and client-specific notifications
- Message Routing: Intelligent routing of requests to appropriate handlers
Technical Highlights
Configuration System
- Flexible Configuration: Configuration system with sensible defaults and customization options
- CORS Support: Configurable CORS settings for cross-origin requests
- Server Information: Proper server identification and versioning
Client Session Management
- Session Tracking: Client session tracking with unique identifiers
- Connection Health: Ping/pong mechanism to maintain connection health
- Initialization State: Client initialization state tracking
Content Handling
- Multi-format Content: Support for text, code, and binary content
- MIME Type Support: Proper MIME type identification for various content types
- Audience Annotations: Content audience annotations for user/assistant targeting
Usage
Setting Up an MCP Server
To create and start an MCP server:
package main
import (
"github.com/zeromicro/go-zero/core/conf"
"github.com/zeromicro/go-zero/core/logx"
"github.com/zeromicro/go-zero/mcp"
)
func main() {
// Load configuration from YAML file
var c mcp.McpConf
conf.MustLoad("config.yaml", &c)
// Optional: Disable stats logging
logx.DisableStat()
// Create MCP server
server := mcp.NewMcpServer(c)
// Register tools, prompts, and resources (examples below)
// Start the server and ensure it's stopped on exit
defer server.Stop()
server.Start()
}
Sample configuration file (config.yaml):
name: mcp-server
host: localhost
port: 8080
mcp:
name: my-mcp-server
messageTimeout: 30s # Timeout for tool calls
cors:
- http://localhost:3000 # Optional CORS configuration
Registering Tools
Tools allow AI models to execute custom code through the MCP protocol.
Basic Tool Example:
// Register a simple echo tool
echoTool := mcp.Tool{
Name: "echo",
Description: "Echoes back the message provided by the user",
InputSchema: mcp.InputSchema{
Properties: map[string]any{
"message": map[string]any{
"type": "string",
"description": "The message to echo back",
},
"prefix": map[string]any{
"type": "string",
"description": "Optional prefix to add to the echoed message",
"default": "Echo: ",
},
},
Required: []string{"message"},
},
Handler: func(ctx context.Context, params map[string]any) (any, error) {
var req struct {
Message string `json:"message"`
Prefix string `json:"prefix,optional"`
}
if err := mcp.ParseArguments(params, &req); err != nil {
return nil, fmt.Errorf("failed to parse params: %w", err)
}
prefix := "Echo: "
if len(req.Prefix) > 0 {
prefix = req.Prefix
}
return prefix + req.Message, nil
},
}
server.RegisterTool(echoTool)
Tool with Different Response Types:
// Tool returning JSON data
dataTool := mcp.Tool{
Name: "data.generate",
Description: "Generates sample data in various formats",
InputSchema: mcp.InputSchema{
Properties: map[string]any{
"format": map[string]any{
"type": "string",
"description": "Format of data (json, text)",
"enum": []string{"json", "text"},
},
},
},
Handler: func(ctx context.Context, params map[string]any) (any, error) {
var req struct {
Format string `json:"format"`
}
if err := mcp.ParseArguments(params, &req); err != nil {
return nil, fmt.Errorf("failed to parse params: %w", err)
}
if req.Format == "json" {
// Return structured data
return map[string]any{
"items": []map[string]any{
{"id": 1, "name": "Item 1"},
{"id": 2, "name": "Item 2"},
},
"count": 2,
}, nil
}
// Default to text
return "Sample text data", nil
},
}
server.RegisterTool(dataTool)
Image Generation Tool Example:
// Tool returning image content
imageTool := mcp.Tool{
Name: "image.generate",
Description: "Generates a simple image",
InputSchema: mcp.InputSchema{
Properties: map[string]any{
"type": map[string]any{
"type": "string",
"description": "Type of image to generate",
"default": "placeholder",
},
},
},
Handler: func(ctx context.Context, params map[string]any) (any, error) {
// Return image content directly
return mcp.ImageContent{
Data: "base64EncodedImageData...", // Base64 encoded image data
MimeType: "image/png",
}, nil
},
}
server.RegisterTool(imageTool)
Using ToolResult for Custom Outputs:
// Tool that returns a custom ToolResult type
customResultTool := mcp.Tool{
Name: "custom.result",
Description: "Returns a custom formatted result",
InputSchema: mcp.InputSchema{
Properties: map[string]any{
"resultType": map[string]any{
"type": "string",
"enum": []string{"text", "image"},
},
},
},
Handler: func(ctx context.Context, params map[string]any) (any, error) {
var req struct {
ResultType string `json:"resultType"`
}
if err := mcp.ParseArguments(params, &req); err != nil {
return nil, fmt.Errorf("failed to parse params: %w", err)
}
if req.ResultType == "image" {
return mcp.ToolResult{
Type: mcp.ContentTypeImage,
Content: map[string]any{
"data": "base64EncodedImageData...",
"mimeType": "image/jpeg",
},
}, nil
}
// Default to text
return mcp.ToolResult{
Type: mcp.ContentTypeText,
Content: "This is a text result from ToolResult",
}, nil
},
}
server.RegisterTool(customResultTool)
Registering Prompts
Prompts are reusable conversation templates for AI models.
Static Prompt Example:
// Register a simple static prompt with placeholders
server.RegisterPrompt(mcp.Prompt{
Name: "hello",
Description: "A simple hello prompt",
Arguments: []mcp.PromptArgument{
{
Name: "name",
Description: "The name to greet",
Required: false,
},
},
Content: "Say hello to {{name}} and introduce yourself as an AI assistant.",
})
Dynamic Prompt with Handler Function:
// Register a prompt with a dynamic handler function
server.RegisterPrompt(mcp.Prompt{
Name: "dynamic-prompt",
Description: "A prompt that uses a handler to generate dynamic content",
Arguments: []mcp.PromptArgument{
{
Name: "username",
Description: "User's name for personalized greeting",
Required: true,
},
{
Name: "topic",
Description: "Topic of expertise",
Required: true,
},
},
Handler: func(ctx context.Context, args map[string]string) ([]mcp.PromptMessage, error) {
var req struct {
Username string `json:"username"`
Topic string `json:"topic"`
}
if err := mcp.ParseArguments(args, &req); err != nil {
return nil, fmt.Errorf("failed to parse args: %w", err)
}
// Create a user message
userMessage := mcp.PromptMessage{
Role: mcp.RoleUser,
Content: mcp.TextContent{
Text: fmt.Sprintf("Hello, I'm %s and I'd like to learn about %s.", req.Username, req.Topic),
},
}
// Create an assistant response with current time
currentTime := time.Now().Format(time.RFC1123)
assistantMessage := mcp.PromptMessage{
Role: mcp.RoleAssistant,
Content: mcp.TextContent{
Text: fmt.Sprintf("Hello %s! I'm an AI assistant and I'll help you learn about %s. The current time is %s.",
req.Username, req.Topic, currentTime),
},
}
// Return both messages as a conversation
return []mcp.PromptMessage{userMessage, assistantMessage}, nil
},
})
Multi-Message Prompt with Code Examples:
// Register a prompt that provides code examples in different programming languages
server.RegisterPrompt(mcp.Prompt{
Name: "code-example",
Description: "Provides code examples in different programming languages",
Arguments: []mcp.PromptArgument{
{
Name: "language",
Description: "Programming language for the example",
Required: true,
},
{
Name: "complexity",
Description: "Complexity level (simple, medium, advanced)",
},
},
Handler: func(ctx context.Context, args map[string]string) ([]mcp.PromptMessage, error) {
var req struct {
Language string `json:"language"`
Complexity string `json:"complexity,optional"`
}
if err := mcp.ParseArguments(args, &req); err != nil {
return nil, fmt.Errorf("failed to parse args: %w", err)
}
// Validate language
supportedLanguages := map[string]bool{"go": true, "python": true, "javascript": true, "rust": true}
if !supportedLanguages[req.Language] {
return nil, fmt.Errorf("unsupported language: %s", req.Language)
}
// Generate code example based on language and complexity
var codeExample string
switch req.Language {
case "go":
if req.Complexity == "simple" {
codeExample = `
package main
import "fmt"
func main() {
fmt.Println("Hello, World!")
}`
} else {
codeExample = `
package main
import (
"fmt"
"time"
)
func main() {
now := time.Now()
fmt.Printf("Hello, World! Current time is %s\n", now.Format(time.RFC3339))
}`
}
case "python":
// Python example code
if req.Complexity == "simple" {
codeExample = `
def greet(name):
return f"Hello, {name}!"
print(greet("World"))`
} else {
codeExample = `
import datetime
def greet(name, include_time=False):
message = f"Hello, {name}!"
if include_time:
message += f" Current time is {datetime.datetime.now().isoformat()}"
return message
print(greet("World", include_time=True))`
}
}
// Create messages array according to MCP spec
messages := []mcp.PromptMessage{
{
Role: mcp.RoleAssistant,
Content: mcp.TextContent{
Text: fmt.Sprintf("You are a helpful coding assistant specialized in %s programming.", req.Language),
},
},
{
Role: mcp.RoleUser,
Content: mcp.TextContent{
Text: fmt.Sprintf("Show me a %s example of a Hello World program in %s.", req.Complexity, req.Language),
},
},
{
Role: mcp.RoleAssistant,
Content: mcp.TextContent{
Text: fmt.Sprintf("Here's a %s example in %s:\n\n```%s%s\n```\n\nHow can I help you implement this?",
req.Complexity, req.Language, req.Language, codeExample),
},
},
}
return messages, nil
},
})
Registering Resources
Resources provide access to external content such as files or generated data.
Basic Resource Example:
// Register a static resource
server.RegisterResource(mcp.Resource{
Name: "example-document",
URI: "file:///example/document.txt",
Description: "An example document",
MimeType: "text/plain",
Handler: func(ctx context.Context) (mcp.ResourceContent, error) {
return mcp.ResourceContent{
URI: "file:///example/document.txt",
MimeType: "text/plain",
Text: "This is an example document content.",
}, nil
},
})
Dynamic Resource with Code Example:
// Register a Go code resource with dynamic handler
server.RegisterResource(mcp.Resource{
Name: "go-example",
URI: "file:///project/src/main.go",
Description: "A simple Go example with multiple files",
MimeType: "text/x-go",
Handler: func(ctx context.Context) (mcp.ResourceContent, error) {
// Return ResourceContent with all required fields
return mcp.ResourceContent{
URI: "file:///project/src/main.go",
MimeType: "text/x-go",
Text: "package main\n\nimport (\n\t\"fmt\"\n\t\"./greeting\"\n)\n\nfunc main() {\n\tfmt.Println(greeting.Hello(\"world\"))\n}",
}, nil
},
})
// Register a companion file for the above example
server.RegisterResource(mcp.Resource{
Name: "go-greeting",
URI: "file:///project/src/greeting/greeting.go",
Description: "A greeting package for the Go example",
MimeType: "text/x-go",
Handler: func(ctx context.Context) (mcp.ResourceContent, error) {
return mcp.ResourceContent{
URI: "file:///project/src/greeting/greeting.go",
MimeType: "text/x-go",
Text: "package greeting\n\nfunc Hello(name string) string {\n\treturn \"Hello, \" + name + \"!\"\n}",
}, nil
},
})
Binary Resource Example:
// Register a binary resource (like an image)
server.RegisterResource(mcp.Resource{
Name: "example-image",
URI: "file:///example/image.png",
Description: "An example image",
MimeType: "image/png",
Handler: func(ctx context.Context) (mcp.ResourceContent, error) {
// Read image from file or generate it
imageData := "base64EncodedImageData..." // Base64 encoded image data
return mcp.ResourceContent{
URI: "file:///example/image.png",
MimeType: "image/png",
Blob: imageData, // For binary data
}, nil
},
})
Using Resources in Prompts
You can embed resources in prompt responses to create rich interactions with proper MCP-compliant structure:
// Register a prompt that embeds a resource
server.RegisterPrompt(mcp.Prompt{
Name: "resource-example",
Description: "A prompt that embeds a resource",
Arguments: []mcp.PromptArgument{
{
Name: "file_type",
Description: "Type of file to show (rust or go)",
Required: true,
},
},
Handler: func(ctx context.Context, args map[string]string) ([]mcp.PromptMessage, error) {
var req struct {
FileType string `json:"file_type"`
}
if err := mcp.ParseArguments(args, &req); err != nil {
return nil, fmt.Errorf("failed to parse args: %w", err)
}
var resourceURI, mimeType, fileContent string
if req.FileType == "rust" {
resourceURI = "file:///project/src/main.rs"
mimeType = "text/x-rust"
fileContent = "fn main() {\n println!(\"Hello world!\");\n}"
} else {
resourceURI = "file:///project/src/main.go"
mimeType = "text/x-go"
fileContent = "package main\n\nimport \"fmt\"\n\nfunc main() {\n\tfmt.Println(\"Hello, world!\")\n}"
}
// Create message with embedded resource using proper MCP format
return []mcp.PromptMessage{
{
Role: mcp.RoleUser,
Content: mcp.TextContent{
Text: fmt.Sprintf("Can you explain this %s code?", req.FileType),
},
},
{
Role: mcp.RoleAssistant,
Content: mcp.EmbeddedResource{
Type: mcp.ContentTypeResource,
Resource: struct {
URI string `json:"uri"`
MimeType string `json:"mimeType"`
Text string `json:"text,omitempty"`
Blob string `json:"blob,omitempty"`
}{
URI: resourceURI,
MimeType: mimeType,
Text: fileContent,
},
},
},
{
Role: mcp.RoleAssistant,
Content: mcp.TextContent{
Text: fmt.Sprintf("Above is a simple Hello World example in %s. Let me explain how it works.", req.FileType),
},
},
}, nil
},
})
Multiple File Resources Example
// Register a prompt that demonstrates embedding multiple resource files
server.RegisterPrompt(mcp.Prompt{
Name: "go-code-example",
Description: "A prompt that correctly embeds multiple resource files",
Arguments: []mcp.PromptArgument{
{
Name: "format",
Description: "How to format the code display",
},
},
Handler: func(ctx context.Context, args map[string]string) ([]mcp.PromptMessage, error) {
var req struct {
Format string `json:"format,optional"`
}
if err := mcp.ParseArguments(args, &req); err != nil {
return nil, fmt.Errorf("failed to parse args: %w", err)
}
// Get the Go code for multiple files
var mainGoText string = "package main\n\nimport (\n\t\"fmt\"\n\t\"./greeting\"\n)\n\nfunc main() {\n\tfmt.Println(greeting.Hello(\"world\"))\n}"
var greetingGoText string = "package greeting\n\nfunc Hello(name string) string {\n\treturn \"Hello, \" + name + \"!\"\n}"
// Create message with properly formatted embedded resource per MCP spec
messages := []mcp.PromptMessage{
{
Role: mcp.RoleUser,
Content: mcp.TextContent{
Text: "Show me a simple Go example with proper imports.",
},
},
{
Role: mcp.RoleAssistant,
Content: mcp.TextContent{
Text: "Here's a simple Go example project:",
},
},
{
Role: mcp.RoleAssistant,
Content: mcp.EmbeddedResource{
Type: mcp.ContentTypeResource,
Resource: struct {
URI string `json:"uri"`
MimeType string `json:"mimeType"`
Text string `json:"text,omitempty"`
Blob string `json:"blob,omitempty"`
}{
URI: "file:///project/src/main.go",
MimeType: "text/x-go",
Text: mainGoText,
},
},
},
}
// Add explanation and additional file if requested
if req.Format == "with_explanation" {
messages = append(messages, mcp.PromptMessage{
Role: mcp.RoleAssistant,
Content: mcp.TextContent{
Text: "This example demonstrates a simple Go application with modular structure. The main.go file imports from a local 'greeting' package that provides the Hello function.",
},
})
// Also show the greeting.go file with correct resource format
messages = append(messages, mcp.PromptMessage{
Role: mcp.RoleAssistant,
Content: mcp.EmbeddedResource{
Type: mcp.ContentTypeResource,
Resource: struct {
URI string `json:"uri"`
MimeType string `json:"mimeType"`
Text string `json:"text,omitempty"`
Blob string `json:"blob,omitempty"`
}{
URI: "file:///project/src/greeting/greeting.go",
MimeType: "text/x-go",
Text: greetingGoText,
},
},
})
}
return messages, nil
},
})
Complete Application Example
Here's a complete example demonstrating all the components:
package main
import (
"context"
"fmt"
"log"
"time"
"github.com/zeromicro/go-zero/core/conf"
"github.com/zeromicro/go-zero/core/logx"
"github.com/zeromicro/go-zero/mcp"
)
func main() {
// Load configuration
var c mcp.McpConf
if err := conf.Load("config.yaml", &c); err != nil {
log.Fatalf("Failed to load config: %v", err)
}
// Set up logging
logx.DisableStat()
// Create MCP server
server := mcp.NewMcpServer(c)
defer server.Stop()
// Register a simple echo tool
echoTool := mcp.Tool{
Name: "echo",
Description: "Echoes back the message provided by the user",
InputSchema: mcp.InputSchema{
Properties: map[string]any{
"message": map[string]any{
"type": "string",
"description": "The message to echo back",
},
"prefix": map[string]any{
"type": "string",
"description": "Optional prefix to add to the echoed message",
"default": "Echo: ",
},
},
Required: []string{"message"},
},
Handler: func(ctx context.Context, params map[string]any) (any, error) {
var req struct {
Message string `json:"message"`
Prefix string `json:"prefix,optional"`
}
if err := mcp.ParseArguments(params, &req); err != nil {
return nil, fmt.Errorf("failed to parse args: %w", err)
}
prefix := "Echo: "
if len(req.Prefix) > 0 {
prefix = req.Prefix
}
return prefix + req.Message, nil
},
}
server.RegisterTool(echoTool)
// Register a static prompt
server.RegisterPrompt(mcp.Prompt{
Name: "greeting",
Description: "A simple greeting prompt",
Arguments: []mcp.PromptArgument{
{
Name: "name",
Description: "The name to greet",
Required: true,
},
},
Content: "Hello {{name}}! How can I assist you today?",
})
// Register a dynamic prompt
server.RegisterPrompt(mcp.Prompt{
Name: "dynamic-prompt",
Description: "A prompt that uses a handler to generate dynamic content",
Arguments: []mcp.PromptArgument{
{
Name: "username",
Description: "User's name for personalized greeting",
Required: true,
},
{
Name: "topic",
Description: "Topic of expertise",
Required: true,
},
},
Handler: func(ctx context.Context, args map[string]string) ([]mcp.PromptMessage, error) {
var req struct {
Username string `json:"username"`
Topic string `json:"topic"`
}
if err := mcp.ParseArguments(args, &req); err != nil {
return nil, fmt.Errorf("failed to parse args: %w", err)
}
// Create messages with current time
currentTime := time.Now().Format(time.RFC1123)
return []mcp.PromptMessage{
{
Role: mcp.RoleUser,
Content: mcp.TextContent{
Text: fmt.Sprintf("Hello, I'm %s and I'd like to learn about %s.", req.Username, req.Topic),
},
},
{
Role: mcp.RoleAssistant,
Content: mcp.TextContent{
Text: fmt.Sprintf("Hello %s! I'm an AI assistant and I'll help you learn about %s. The current time is %s.",
req.Username, req.Topic, currentTime),
},
},
}, nil
},
})
// Register a resource
server.RegisterResource(mcp.Resource{
Name: "example-doc",
URI: "file:///example/doc.txt",
Description: "An example document",
MimeType: "text/plain",
Handler: func(ctx context.Context) (mcp.ResourceContent, error) {
return mcp.ResourceContent{
URI: "file:///example/doc.txt",
MimeType: "text/plain",
Text: "This is the content of the example document.",
}, nil
},
})
// Start the server
fmt.Printf("Starting MCP server on %s:%d\n", c.Host, c.Port)
server.Start()
}
Error Handling
The MCP implementation provides comprehensive error handling:
- Tool execution errors are properly reported back to clients
- Missing or invalid parameters are detected and reported with appropriate error codes
- Resource and prompt lookup failures are handled gracefully
- Timeout handling for long-running tool executions using context
- Panic recovery to prevent server crashes
Advanced Features
- Annotations: Add audience and priority metadata to content
- Content Types: Support for text, images, audio, and other content formats
- Embedded Resources: Include file resources directly in prompt responses
- Context Awareness: All handlers receive context.Context for timeout and cancellation support
- Progress Tokens: Support for tracking progress of long-running operations
- Customizable Timeouts: Configure execution timeouts for tools and operations
Performance Considerations
- Tool execution runs with configurable timeouts to prevent blocking
- Efficient client tracking and cleanup to prevent resource leaks
- Proper concurrency handling with mutex protection for shared resources
- Buffered message channels to prevent blocking on client message delivery