TurboMCP

Rust SDK for the Model Context Protocol (MCP) with comprehensive specification support and performance optimizations.

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Jump to section: Overview | Quick Start | Core Concepts | Advanced Features | Security | Performance | Deployment | Examples

Overview

turbomcp is a Rust framework for implementing the Model Context Protocol. It provides tools, servers, clients, and transport layers with MCP specification compliance, security features, and performance optimizations.

Security Features

• Zero known vulnerabilities - Security audit with cargo-deny policy
• Dependency security - Eliminated RSA and paste crate vulnerabilities
• MIT-compatible dependencies - Permissive license enforcement
• Security hardening - Dependency optimization for security

Performance Monitoring

• Benchmarking infrastructure - Automated regression detection
• Cross-platform testing - Ubuntu, Windows, macOS CI validation
• CI/CD integration - GitHub Actions with performance tracking

Key Features

Performance Features

• Optimized JSON processing - Optional SIMD acceleration with fast libraries
• Efficient message handling - Minimal memory allocations with zero-copy patterns
• Connection management - Connection pooling and reuse strategies
• Request routing - Efficient handler lookup with parameter injection

Developer Experience

• Procedural macros - #[server], #[tool], #[resource], #[prompt]
• Type-state capability builders - Compile-time validated capability configuration
• Automatic schema generation - JSON schemas from Rust types
• Type-safe parameters - Compile-time validation and conversion
• Context injection - Request context available in handler signatures
• Builder patterns for user input and message handling
• Context API - Access to user information, authentication, and request metadata

Security Features

• OAuth 2.0 integration - Google, GitHub, Microsoft provider support
• PKCE security - Proof Key for Code Exchange implementation
• CORS protection - Cross-origin resource sharing policies
• Rate limiting - Token bucket algorithm with burst capacity
• Security headers - CSP, HSTS, X-Frame-Options configuration

Multi-Transport Support

• STDIO - Command-line integration with protocol compliance
• HTTP/SSE - HTTP streaming with session management and TLS support
• WebSocket - Real-time bidirectional communication with connection lifecycle management
• TCP - Direct socket connections with connection pooling
• Unix Sockets - Local inter-process communication with file permissions

All transport protocols provide MCP protocol compliance with bidirectional communication, automatic reconnection, and session management.

⚠️ STDIO Protocol Compliance: When using STDIO transport (the default), avoid any logging or output to stdout. The MCP protocol requires stdout to contain only JSON-RPC messages. Any other output will break client communication. Use stderr for debugging if needed.

🌟 MCP Enhanced Features

• 🎵 AudioContent Support - Multimedia content handling for audio data
• 📝 Enhanced Annotations - Rich metadata with ISO 8601 timestamp support
• 🏷️ BaseMetadata Pattern - Proper name/title separation for MCP compliance
• 📋 Advanced Elicitation - Interactive forms with validation support

⚡ Circuit Breaker & Reliability

• Circuit breaker pattern - Prevents cascade failures
• Exponential backoff retry - Intelligent error recovery
• Connection health monitoring - Automatic failure detection
• Graceful degradation - Fallback mechanisms

🔄 Sharing Patterns for Async Concurrency

• Client Clone Pattern - Directly cloneable (Arc-wrapped internally, no wrapper needed)
• SharedTransport - Concurrent transport sharing across async tasks
• McpServer Clone Pattern - Axum/Tower standard (cheap Arc increments, no wrappers)
• Generic Shareable Pattern - Shared and ConsumableShared abstractions
• Arc/Mutex Encapsulation - Hide synchronization complexity from public APIs

Architecture

TurboMCP is built as a layered architecture with clear separation of concerns:

┌─────────────────────────────────────────────────────────────┐
│                      TurboMCP Framework                     │
│              Ergonomic APIs & Developer Experience         │
├─────────────────────────────────────────────────────────────┤
│                   Infrastructure Layer                     │
│          Server • Client • Transport • Protocol            │
├─────────────────────────────────────────────────────────────┤
│                     Foundation Layer                       │
│             Core Types • Messages • State                  │
└─────────────────────────────────────────────────────────────┘

Components:

• turbomcp-protocol - MCP specification implementation, core utilities, and SIMD acceleration
• turbomcp-transport - Multi-protocol transport with circuit breakers
• turbomcp-server - Server framework with OAuth 2.0
• turbomcp-client - Client implementation with error recovery
• turbomcp-macros - Procedural macros for ergonomic APIs
• turbomcp-cli - Command-line tools for development and testing

Quick Start

Installation

Add TurboMCP to your Cargo.toml:

[dependencies]
turbomcp = "2.0.0"
tokio = { version = "1.0", features = ["full"] }

Basic Server

Create a simple calculator server:

use turbomcp::prelude::*;

#[derive(Clone)]
struct Calculator;

#[server]
impl Calculator {
    #[tool("Add two numbers")]
    async fn add(&self, a: i32, b: i32) -> McpResult<i32> {
        Ok(a + b)
    }

    #[tool("Get server status")]
    async fn status(&self, ctx: Context) -> McpResult<String> {
        ctx.info("Status requested").await?;
        Ok("Server running".to_string())
    }
}

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    Calculator.run_stdio().await?;
    Ok(())
}

Run the Server

# Build and run
cargo run

# Test with TurboMCP CLI
cargo install turbomcp-cli

# For HTTP server
turbomcp-cli tools-list --url http://localhost:8080/mcp

# For STDIO server  
turbomcp-cli tools-list --command "./target/debug/my-server"

Type-State Capability Builders

TurboMCP provides compile-time validated capability builders that ensure correct configuration at build time:

use turbomcp_protocol::capabilities::builders::{ServerCapabilitiesBuilder, ClientCapabilitiesBuilder};

// Server capabilities with compile-time validation
let server_caps = ServerCapabilitiesBuilder::new()
    .enable_tools()                    // Enable tools capability
    .enable_prompts()                  // Enable prompts capability
    .enable_resources()                // Enable resources capability
    .enable_tool_list_changed()        // ✅ Only available when tools enabled
    .enable_resources_subscribe()      // ✅ Only available when resources enabled
    .build();

// Usage in server macro
#[server(
    name = "my-server",
    version = "1.0.0",
    capabilities = ServerCapabilities::builder()
        .enable_tools()
        .enable_tool_list_changed()
        .build()
)]
impl MyServer {
    // Implementation...
}

// Client capabilities with opt-out model (all enabled by default)
let client_caps = ClientCapabilitiesBuilder::new()
    .enable_roots_list_changed()       // Configure sub-capabilities
    .build();                          // All capabilities enabled!

// Opt-in pattern for restrictive clients
let minimal_client = ClientCapabilitiesBuilder::minimal()
    .enable_sampling()                 // Only enable what you need
    .enable_roots()
    .build();

Benefits

• Compile-time validation - Invalid configurations caught at build time
• Zero-cost abstractions - No runtime overhead for validation
• Method availability - Sub-capabilities only available when parent capability is enabled
• Fluent API - Readable and maintainable capability configuration
• Backwards compatibility - Existing code continues to work unchanged

Core Concepts

Server Definition

Use the #[server] macro to automatically implement the MCP server trait:

use turbomcp::prelude::*;

#[derive(Clone)]
struct MyServer {
    database: Arc<Database>,
    cache: Arc<Cache>,
}

#[server]
impl MyServer {
    // Tools, resources, and prompts defined here
}

Tool Handlers

Transform functions into MCP tools with automatic parameter handling:

#[tool("Calculate expression")]
async fn calculate(
    &self,
    #[description("Mathematical expression")]
    expression: String,
    #[description("Precision for results")]
    precision: Option<u32>,
    ctx: Context
) -> McpResult<f64> {
    let precision = precision.unwrap_or(2);
    ctx.info(&format!("Calculating: {}", expression)).await?;
    
    // Calculation logic
    let result = evaluate_expression(&expression)?;
    Ok(round_to_precision(result, precision))
}

Resource Handlers

Create URI template-based resource handlers:

#[resource("file://{path}")]
async fn read_file(
    &self,
    #[description("File path to read")]
    path: String,
    ctx: Context
) -> McpResult<String> {
    ctx.info(&format!("Reading file: {}", path)).await?;
    
    tokio::fs::read_to_string(&path).await
        .map_err(|e| McpError::Resource(e.to_string()))
}

Prompt Templates

Generate dynamic prompts with parameter substitution:

#[prompt("code_review")]
async fn code_review_prompt(
    &self,
    #[description("Programming language")]
    language: String,
    #[description("Code to review")]
    code: String,
    ctx: Context
) -> McpResult<String> {
    ctx.info(&format!("Generating {} code review", language)).await?;
    
    Ok(format!(
        "Please review the following {} code:\n\n```{}\n{}\n```",
        language, language, code
    ))
}

MCP 2025-06-18 Enhanced Features

Roots Support - Filesystem Boundaries

#[server(
    name = "filesystem-server",
    version = "1.0.0",
    root = "file:///workspace:Project Workspace",
    root = "file:///tmp:Temporary Files"
)]
impl FileSystemServer {
    #[tool("List files in directory")]
    async fn list_files(&self, ctx: Context, path: String) -> McpResult<Vec<String>> {
        ctx.info(&format!("Listing files in: {}", path)).await?;
        // Operations are bounded by configured roots
        Ok(vec!["file1.txt".to_string(), "file2.txt".to_string()])
    }
}

Elicitation - Server-Initiated User Input

use turbomcp::prelude::*;
use turbomcp_protocol::types::ElicitationSchema;

#[tool("Configure application settings")]
async fn configure_app(&self, ctx: Context) -> McpResult<String> {
    // Build elicitation schema with type safety
    let schema = ElicitationSchema::new()
        .add_string_property("theme", Some("Color theme preference"))
        .add_boolean_property("notifications", Some("Enable push notifications"))
        .add_required(["theme"]);
    
    // Simple, elegant elicitation with type safety
    let result = elicit("Configure your preferences")
        .field("theme", text("UI theme preference")
            .options(&["light", "dark"]))
        .send(&ctx)
        .await?;
    
    // Process the structured response
    if let Some(data) = result.content {
        let theme = data.get("theme")
            .and_then(|v| v.as_str())
            .unwrap_or("default");
        Ok(format!("Configured with {} theme", theme))
    } else {
        Err(McpError::Context("Configuration cancelled".to_string()))
    }
}

Sampling Support - Bidirectional LLM Communication

use turbomcp::prelude::*;

#[tool("Get AI code review")]
async fn code_review(&self, ctx: Context, code: String) -> McpResult<String> {
    // Log the request with user context
    let user = ctx.user_id().unwrap_or("anonymous");
    ctx.info(&format!("User {} requesting code review", user)).await?;
    
    // Build sampling request with ergonomic JSON
    let request = serde_json::json!({
        "messages": [{
            "role": "user",
            "content": {
                "type": "text",
                "text": format!("Please review this code:\n\n{}", code)
            }
        }],
        "maxTokens": 500,
        "systemPrompt": "You are a senior code reviewer. Provide constructive feedback."
    });
    
    // Request LLM assistance through the client
    match ctx.create_message(request).await {
        Ok(response) => {
            ctx.info("AI review completed successfully").await?;
            Ok(format!("AI Review: {:?}", response))
        }
        Err(_) => {
            // Graceful fallback if sampling unavailable
            let issues = code.matches("TODO").count() + code.matches("FIXME").count();
            Ok(format!("Static analysis: {} lines, {} issues found", code.lines().count(), issues))
        }
    }
}

Completion - Intelligent Autocompletion

#[completion("Complete file paths")]
async fn complete_file_path(&self, partial: String) -> McpResult<Vec<String>> {
    let files = std::fs::read_dir(".")?
        .filter_map(|e| e.ok())
        .map(|e| e.file_name().to_string_lossy().to_string())
        .filter(|name| name.starts_with(&partial))
        .collect();
    Ok(files)
}

Resource Templates - Dynamic URIs

#[template("users/{user_id}/posts/{post_id}")]
async fn get_user_post(&self, user_id: String, post_id: String) -> McpResult<Post> {
    // RFC 6570 URI template with multiple parameters
    let post = self.database.get_post(&user_id, &post_id).await?;
    Ok(post)
}

Ping - Bidirectional Health Monitoring

#[ping("Health check")]
async fn health_check(&self, ctx: Context) -> McpResult<HealthStatus> {
    let db_status = self.database.ping().await.is_ok();
    let cache_status = self.cache.ping().await.is_ok();
    
    Ok(HealthStatus {
        healthy: db_status && cache_status,
        database: db_status,
        cache: cache_status,
        timestamp: ctx.timestamp(),
    })
}

Context Injection

The Context parameter provides request correlation, authentication, and observability:

#[tool("Authenticated operation")]
async fn secure_operation(&self, ctx: Context, data: String) -> McpResult<String> {
    // Authentication
    let user = ctx.authenticated_user()?;
    
    // Logging with correlation
    ctx.info(&format!("Processing request for user: {}", user.id)).await?;
    
    // Request metadata
    let request_id = ctx.request_id();
    let start_time = ctx.start_time();
    
    // Processing...
    let result = process_data(&data).await?;
    
    // Performance tracking
    ctx.record_metric("processing_time", start_time.elapsed()).await?;
    
    Ok(result)
}

Authentication & Security

OAuth 2.0 Setup

TurboMCP provides built-in OAuth 2.0 support:

use turbomcp::prelude::*;
use turbomcp::auth::*;

#[derive(Clone)]
struct SecureServer {
    oauth_providers: Arc<RwLock<HashMap<String, OAuth2Provider>>>,
}

#[server]
impl SecureServer {
    #[tool("Get user profile")]
    async fn get_user_profile(&self, ctx: Context) -> McpResult<UserProfile> {
        let user = ctx.authenticated_user()
            .ok_or_else(|| McpError::Unauthorized("Authentication required".to_string()))?;
        
        Ok(UserProfile {
            id: user.id,
            name: user.name,
            email: user.email,
        })
    }

    #[tool("Start OAuth flow")]
    async fn start_oauth_flow(&self, provider: String) -> McpResult<String> {
        let providers = self.oauth_providers.read().await;
        let oauth_provider = providers.get(&provider)
            .ok_or_else(|| McpError::InvalidInput(format!("Unknown provider: {}", provider)))?;
        
        let auth_result = oauth_provider.start_authorization().await?;
        Ok(format!("Visit: {}", auth_result.auth_url))
    }
}

Security Configuration

Configure comprehensive security features:

use turbomcp_transport::{AxumMcpExt, McpServerConfig};

let config = McpServerConfig::production()
    .with_cors_origins(vec!["https://app.example.com".to_string()])
    .with_custom_csp("default-src 'self'; connect-src 'self' wss:")
    .with_rate_limit(120, 20)  // 120 req/min, 20 burst
    .with_jwt_auth("your-secret-key".to_string());

let app = Router::new()
    .route("/api/status", get(status_handler))
    .merge(Router::<()>::turbo_mcp_routes_for_merge(mcp_service, config));

Transport Configuration

STDIO Transport (Default)

Perfect for Claude Desktop and local development:

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    MyServer::new().run_stdio().await?;
    Ok(())
}

HTTP/SSE Transport

For web applications and browser integration:

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    MyServer::new().run_http("0.0.0.0:8080").await?;
    Ok(())
}

WebSocket Transport

For real-time bidirectional communication:

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    MyServer::new().run_websocket("0.0.0.0:8080").await?;
    Ok(())
}

Multi-Transport Runtime Selection

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let server = MyServer::new();
    
    match std::env::var("TRANSPORT").as_deref() {
        Ok("http") => server.run_http("0.0.0.0:8080").await?,
        Ok("websocket") => server.run_websocket("0.0.0.0:8080").await?,
        Ok("tcp") => server.run_tcp("0.0.0.0:8080").await?,
        Ok("unix") => server.run_unix("/tmp/mcp.sock").await?,
        _ => server.run_stdio().await?, // Default
    }
    Ok(())
}

Cloning & Concurrency Patterns

TurboMCP provides clean concurrency patterns with Arc-wrapped internals:

Client Clone Pattern - Direct Cloning (No Wrapper Needed)

use turbomcp_client::Client;

// Client is directly cloneable (Arc-wrapped internally)
let client = Client::connect_http("http://localhost:8080").await?;

// Clone for concurrent usage (cheap Arc increments)
let client1 = client.clone();
let client2 = client.clone();

// Both tasks can access the client concurrently
let handle1 = tokio::spawn(async move {
    client1.list_tools().await
});

let handle2 = tokio::spawn(async move {
    client2.list_prompts().await
});

let (tools, prompts) = tokio::join!(handle1, handle2);

SharedTransport - Concurrent Transport Access

use turbomcp_transport::{StdioTransport, SharedTransport};

// Wrap any transport for sharing across multiple clients
let transport = StdioTransport::new();
let shared = SharedTransport::new(transport);

// Connect once
shared.connect().await?;

// Share across tasks
let shared1 = shared.clone();
let shared2 = shared.clone();

let handle1 = tokio::spawn(async move {
    shared1.send(message).await
});

let handle2 = tokio::spawn(async move {
    shared2.receive().await
});

Generic Shareable Pattern

use turbomcp_protocol::shared::{Shared, ConsumableShared};

// Any type can be made shareable
let counter = MyCounter::new();
let shared = Shared::new(counter);

// Use with closures for fine-grained control
shared.with_mut(|c| c.increment()).await;
let value = shared.with(|c| c.get()).await;

// Consumable variant for one-time use
let server = MyServer::new();
let shared = ConsumableShared::new(server);
let server = shared.consume().await?; // Extracts the value

Benefits

• Clean APIs: No exposed Arc/Mutex types
• Easy Sharing: Clone for concurrent access
• Thread Safety: Built-in synchronization
• Zero Overhead: Same performance as direct usage
• MCP Compliant: Preserves all protocol semantics

Error Handling

Error Architecture

TurboMCP uses a layered error system designed for both simplicity and MCP specification compliance:

Quick Decision Guide

Use McpError if you are:

• Writing tool handlers with #[tool]
• Implementing resource providers with #[resource]
• Building prompt handlers with #[prompt]
• Writing application-level business logic

Use ProtocolError if you are:

• Implementing custom protocol handlers
• Building server middleware
• Need observability context (request IDs, metadata, error chaining)
• Require MCP 2025-06-18 specification error codes

Key Insight: Errors automatically convert between layers. Use McpError in your handlers - the server layer converts to ProtocolError with full MCP compliance.

Architecture Flow

Your Tool Handler
    ↓ Returns McpError
Server Layer (turbomcp-server)
    ↓ Converts to ServerError::Protocol(Box<ProtocolError>)
Protocol Layer (turbomcp-protocol)
    ↓ Serializes with MCP error codes
JSON-RPC Response

See examples/error_patterns.rs for comprehensive examples of both error types.

Ergonomic Error Creation

Use the mcp_error! macro for easy error creation:

#[tool("Divide numbers")]
async fn divide(&self, a: f64, b: f64) -> McpResult<f64> {
    if b == 0.0 {
        return Err(mcp_error!("Division by zero: {} / {}", a, b));
    }
    Ok(a / b)
}

#[tool("Read file")]
async fn read_file(&self, path: String) -> McpResult<String> {
    tokio::fs::read_to_string(&path).await
        .map_err(|e| mcp_error!("Failed to read file {}: {}", path, e))
}

Application-Level Errors (McpError)

Simple enum for common error cases:

use turbomcp::McpError;

match result {
    Err(McpError::InvalidInput(msg)) => {
        // Handle validation errors
    },
    Err(McpError::Unauthorized(msg)) => {
        // Handle authentication errors
    },
    Err(McpError::Resource(msg)) => {
        // Handle resource access errors
    },
    Err(McpError::Transport(msg)) => {
        // Handle transport errors
    },
    Ok(value) => {
        // Process success case
    }
}

Protocol-Level Errors (ProtocolError)

For advanced use cases requiring rich context and MCP specification compliance:

use turbomcp::ProtocolError;  // Re-exported from turbomcp_protocol

// Constructors return Box<ProtocolError> for efficient cloning and rich context
let err = ProtocolError::tool_not_found("calculator");
let err = ProtocolError::invalid_params("Email must be valid");
let err = ProtocolError::resource_access_denied(
    "file://secret.txt",
    "Path outside allowed directory"
);

// Add observability context with builder pattern
let err = ProtocolError::internal("Database connection failed")
    .with_operation("user_lookup")
    .with_component("auth_service")
    .with_request_id(request_id)
    .with_context("user_id", user_id);

// Maps to MCP 2025-06-18 specification error codes
assert_eq!(err.jsonrpc_error_code(), -32603);  // Internal error

Why Box<ProtocolError>?

• Enables cheap cloning across async boundaries
• Preserves full error context and source chain
• Integrates with observability systems (tracing, metrics)
• Automatic backtrace capture in debug builds

Advanced Features

Custom Types and Schema Generation

TurboMCP automatically generates JSON schemas for custom types:

use serde::{Serialize, Deserialize};

#[derive(Serialize, Deserialize)]
struct CreateUserRequest {
    name: String,
    email: String,
    age: Option<u32>,
}

#[derive(Serialize, Deserialize)]
struct User {
    id: u64,
    name: String,
    email: String,
    created_at: chrono::DateTime<chrono::Utc>,
}

#[tool("Create a new user")]
async fn create_user(&self, request: CreateUserRequest) -> McpResult<User> {
    // Schema automatically generated for both types
    let user = User {
        id: generate_id(),
        name: request.name,
        email: request.email,
        created_at: chrono::Utc::now(),
    };
    
    // Save to database
    self.database.save_user(&user).await?;
    
    Ok(user)
}

Graceful Shutdown

Handle shutdown signals gracefully:

use tokio::signal;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let server = MyServer::new();
    let (server, shutdown_handle) = server.into_server_with_shutdown()?;

    let server_task = tokio::spawn(async move {
        server.run_stdio().await
    });

    signal::ctrl_c().await?;
    // NOTE: For STDIO transport, avoid logging to prevent JSON-RPC pollution
    // For other transports, you could use: tracing::info!("Shutdown signal received");

    shutdown_handle.shutdown().await;
    server_task.await??;

    Ok(())
}

Performance Tuning

Enable SIMD acceleration for maximum performance:

[dependencies]
turbomcp = { version = "2.0.0", features = ["simd"] }

Configure performance settings:

use turbomcp::prelude::*;

// Use pre-configured performance profiles
let config = SessionConfig::high_performance();
// Other available profiles:
// SessionConfig::memory_optimized() - For resource-constrained environments
// SessionConfig::development() - For development with verbose logging

// Create server and run with selected config
let server = Calculator; // Your server implementation
server.run_stdio().await?;

Testing

Unit Testing

Test your tools directly:

#[cfg(test)]
mod tests {
    use super::*;
    
    #[tokio::test]
    async fn test_calculator() {
        let calc = Calculator;
        
        let result = calc.test_tool_call("add", serde_json::json!({
            "a": 5,
            "b": 3
        })).await.unwrap();
        
        assert_eq!(result, serde_json::json!(8));
    }
}

Integration Testing

Use the TurboMCP CLI for integration testing:

# Install CLI
cargo install turbomcp-cli

# Test server functionality
turbomcp-cli tools-list --url http://localhost:8080/mcp
turbomcp-cli tools-call --url http://localhost:8080/mcp --name add --arguments '{"a": 5, "b": 3}'
turbomcp-cli schema-export --url http://localhost:8080/mcp --output schemas.json

Client Setup

Claude Desktop

Add to your Claude Desktop configuration:

{
  "mcpServers": {
    "my-turbomcp-server": {
      "command": "/path/to/your/server/binary",
      "args": []
    }
  }
}

Programmatic Client

Use the TurboMCP client:

use turbomcp_client::{ClientBuilder, Transport};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = ClientBuilder::new()
        .transport(Transport::stdio_with_command("./my-server"))
        .connect().await?;

    let tools = client.list_tools().await?;
    println!("Available tools: {:?}", tools);

    let result = client.call_tool("add", serde_json::json!({
        "a": 5,
        "b": 3
    })).await?;
    println!("Result: {:?}", result);

    Ok(())
}

Examples

Explore comprehensive examples in the examples/ directory:

# Basic calculator server
cargo run --example 01_basic_calculator

# File system tools
cargo run --example 02_file_tools

# Database integration
cargo run --example 03_database_server

# Web scraping tools
cargo run --example 04_web_tools

# Authentication with OAuth 2.0
cargo run --example 09_oauth_authentication

# HTTP server with advanced features
cargo run --example 10_http_server

Feature Flags

Development

Building

# Build with all features
cargo build --all-features

# Build optimized for production
cargo build --release --features simd

# Run tests
cargo test --workspace

Contributing

1. Fork the repository
2. Create a feature branch: git checkout -b feature-name
3. Make your changes and add tests
4. Run the full test suite: make test
5. Submit a pull request

Performance Architecture

Compile-Time Optimization

TurboMCP uses a compile-time first approach with these characteristics:

Build-Time Features:

• Macro-driven code generation pre-computes metadata at build time
• Tool schemas, parameter validation, and handler dispatch tables generated statically
• Rust's type system provides compile-time safety and optimization opportunities
• Feature flags allow selective compilation for lean binaries

Runtime Characteristics:

• Static schema generation eliminates per-request computation
• Direct function dispatch without hash table lookups
• Zero-copy message handling where possible
• Async runtime scaling with Tokio

Implementation Approach:

// Compile-time schema generation
#[tool("Add numbers")]
async fn add(&self, a: i32, b: i32) -> McpResult<i32> {
    Ok(a + b)  // Schema and dispatch code generated at build time
}

Benchmarks

# Run performance benchmarks
cargo bench

# Test SIMD acceleration
cargo run --example simd_performance --features simd

# Profile memory usage
cargo run --example memory_profile

Documentation

• Architecture Guide - System design and components
• Security Features - Comprehensive security documentation
• API Documentation - Complete API reference
• Performance Guide - Optimization strategies
• Examples - Ready-to-use code examples

Related Projects

• Model Context Protocol - Official protocol specification
• Claude Desktop - AI assistant with MCP support
• MCP Servers - Official server implementations

License

Licensed under the MIT License.

Built with ❤️ by the TurboMCP team