Mcp.Net

<div style="display: flex; align-items: center;"> <div> <h1>Mcp.Net - Model Context Protocol for .NET 🚀</h1> <p><b>Connect your apps to AI models with a standardized protocol for tools, resources, and prompts</b></p> <p> <a href="https://www.nuget.org/packages/Mcp.Net.Core/"><img src="https://img.shields.io/nuget/v/Mcp.Net.Core.svg" alt="NuGet"></a> <a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License: MIT"></a> </p> </div> </div>

✨ What is Mcp.Net?

Mcp.Net is a .NET implementation of the Model Context Protocol (MCP) - a standardized way for apps to talk to AI models and execute tools. Think of it as the "HTTP of AI tool usage" - a clean, consistent way for your app to give AI models the ability to:

• 🧰 Use tools like search, weather lookup, database access
• 🌐 Access web resources and fetch web content
• 📝 Work with predefined prompts and templates

⚠️ Pre-1.0 Notice

This is version 0.9.0 - the core is stable but some features are still in development.
See Current Status for details.

🏃‍♀️ Quick Start

Try the interactive LLM demo

Experience MCP (with web-search, scraping, twilio, various demo tools) with OpenAI or Anthropic models in just two steps:

# 1. Start the server with demo tools
dotnet run --project Mcp.Net.Examples.SimpleServer/Mcp.Net.Examples.SimpleServer.csproj

# 2. In a new terminal, run the LLM chat app (requires OpenAI or Anthropic API key)
dotnet run --project Mcp.Net.LLM/Mcp.Net.LLM.csproj

See the LLM demo documentation for more details.

Install the packages

# For building a server (the thing that provides tools)
dotnet add package Mcp.Net.Server

# For building a client (the thing that talks to AI models)
dotnet add package Mcp.Net.Client

Create your first MCP server in 2 minutes

using Mcp.Net.Core.Attributes;
using Mcp.Net.Server;

// 1. Create a simple stdio server
var server = new McpServer(
 new ServerInfo { Name = "QuickStart Server", Version = "1.0" }
);

// 2. Define tools using simple attributes and POCOs
[McpTool("Calculator", "Math operations")]
public class CalculatorTools
{
 // Simple synchronous tool that returns a plain string
 [McpTool("add", "Add two numbers")]
 public string Add(
 [McpParameter(required: true, description: "First number")] double a,
 [McpParameter(required: true, description: "Second number")] double b)
 {
 return $"The sum of {a} and {b} is {a + b}";
 }
 
 // Async tool with a POCO return type - easiest approach!
 [McpTool("getWeather", "Get weather for a location")]
 public async Task<WeatherResponse> GetWeatherAsync(
 [McpParameter(required: true, description: "Location")] string location)
 {
 // Simulate API call
 await Task.Delay(100);
 
 // Just return a POCO - no need to deal with ToolCallResult!
 return new WeatherResponse
 {
 Location = location,
 Temperature = "72°F",
 Conditions = "Sunny",
 Forecast = new[] { "Clear", "Partly cloudy", "Clear" }
 };
 }
}

// Simple POCO class
public class WeatherResponse
{
 public string Location { get; set; }
 public string Temperature { get; set; }
 public string Conditions { get; set; }
 public string[] Forecast { get; set; }
}

// 3. Register all tools from assembly in one line
server.RegisterToolsFromAssembly(Assembly.GetExecutingAssembly(), serviceProvider);

// 4. Connect to stdio transport and start
await server.ConnectAsync(new StdioTransport());

// Server is now running and ready to process requests!

Manual Tool Registration (Alternative style)

For more control, you can also register tools directly:

using System.Text.Json;
using Mcp.Net.Core.Models.Content;
using Mcp.Net.Core.Models.Tools;
using Mcp.Net.Server;

// Create server
var server = new McpServer(
 new ServerInfo { Name = "Manual Server", Version = "1.0" }
);

// Register tool with explicit schema and handler
server.RegisterTool(
 name: "multiply",
 description: "Multiply two numbers",
 inputSchema: JsonDocument.Parse(@"
 {
 ""type"": ""object"",
 ""properties"": {
 ""x"": { ""type"": ""number"" },
 ""y"": { ""type"": ""number"" }
 },
 ""required"": [""x"", ""y""]
 }
 ").RootElement,
 handler: async (args) =>
 {
 var x = args?.GetProperty("x").GetDouble() ?? 0;
 var y = args?.GetProperty("y").GetDouble() ?? 0;
 var result = x * y;
 
 // For full control, you can explicitly use ToolCallResult
 return new ToolCallResult
 {
 Content = new[] { new TextContent { Text = $"{x} * {y} = {result}" } }
 };
 }
);

Connect a client to your server

using Mcp.Net.Client;

// Connect to a stdio server (like Claude or a local MCP server)
var client = new StdioMcpClient("MyApp", "1.0");
await client.Initialize();

// List available tools
var tools = await client.ListTools();
Console.WriteLine($"Available tools: {string.Join(", ", tools.Select(t => t.Name))}");

// Call the add tool
var result = await client.CallTool("add", new { a = 5, b = 3 });
Console.WriteLine(((TextContent)result.Content.First()).Text); // "The sum is 8"

// Call the weather tool
var weatherResult = await client.CallTool("getWeather", new { location = "San Francisco" });
Console.WriteLine(((TextContent)weatherResult.Content.First()).Text); 
// "The weather in San Francisco is sunny and 72°F"

📊 Project Structure

• Mcp.Net.Core: Models, interfaces, and base protocol components
• Mcp.Net.Server: Server-side implementation with transports (SSE and stdio)
• Mcp.Net.Client: Client libraries for connecting to MCP servers
• Mcp.Net.Examples.SimpleServer: Simple example server with calculator and themed tools
• Mcp.Net.Examples.SimpleClient: Simple example client that connects to MCP servers
• Mcp.Net.LLM: Interactive LLM demo integrating OpenAI/Anthropic models with MCP tools
• Mcp.Net.Examples.ExternalTools: Standalone tool library that can be loaded by any MCP server

🔌 Key Features

• Two Transport Options:
• ⌨️ stdio: Perfect for CLI tools and direct model interaction
• 🌐 SSE: Ideal for web apps and browser integrations
• Tool Management:
• ✅ Dynamic tool discovery
• ✅ JSON Schema validation for parameters
• ✅ Both synchronous and async tool support
• ✅ Error handling and result formatting
• Flexible Hosting:
• ✅ Use as standalone server
• ✅ Embed in ASP.NET Core applications
• ✅ Run as background service

🔧 Server Configuration Options

The MCP server provides multiple ways to configure your server, especially for controlling network settings when using the SSE transport:

Using the Builder Pattern

// Configure the server with the builder pattern
var builder = new McpServerBuilder()
 .WithName("My MCP Server")
 .WithVersion("1.0.0")
 .WithInstructions("This server provides helpful tools")
 // Configure network settings
 .UsePort(8080) // Default is 5000
 .UseHostname("0.0.0.0") // Default is localhost
 // Configure transport mode
 .UseSseTransport(); // Uses the port and hostname configured above

Using Command Line Arguments

When running the server from the command line:

# Run with custom port and hostname
dotnet run --project Mcp.Net.Server --port 8080 --hostname 0.0.0.0

# For cloud environments, binding to 0.0.0.0 is usually required
dotnet run --project Mcp.Net.Server --hostname 0.0.0.0

# Run with stdio transport instead of SSE
dotnet run --project Mcp.Net.Server --stdio
# or use the shorthand
dotnet run --project Mcp.Net.Server -s

# Enable debug-level logging
dotnet run --project Mcp.Net.Server --debug
# or use the shorthand
dotnet run --project Mcp.Net.Server -d

# Specify a custom log file path
dotnet run --project Mcp.Net.Server --log-path /path/to/logfile.log

# Use a specific URL scheme (http or https)
dotnet run --project Mcp.Net.Server --scheme https

# Combine multiple options
dotnet run --project Mcp.Net.Server --stdio --debug --port 8080 --hostname 0.0.0.0

The ServerConfiguration and CommandLineOptions classes handle these arguments:

// CommandLineOptions.cs parses command-line arguments
public static CommandLineOptions Parse(string[] args)
{
 var options = new CommandLineOptions(args)
 {
 UseStdio = args.Contains("--stdio") || args.Contains("-s"),
 DebugMode = args.Contains("--debug") || args.Contains("-d"),
 LogPath = GetArgumentValue(args, "--log-path") ?? "mcp-server.log",
 Port = GetArgumentValue(args, "--port"),
 Hostname = GetArgumentValue(args, "--hostname"),
 Scheme = GetArgumentValue(args, "--scheme")
 };
 return options;
}

Using Environment Variables

# Set standard environment variables before running
export MCP_SERVER_PORT=8080
export MCP_SERVER_HOSTNAME=0.0.0.0
export MCP_SERVER_SCHEME=http

# Cloud platform compatibility - many cloud platforms use PORT
export PORT=8080

dotnet run --project Mcp.Net.Server

The ServerConfiguration class handles these environment variables with a priority-based approach:

// ServerConfiguration.cs handles environment variables:
private void LoadFromEnvironmentVariables()
{
 // Standard MCP hostname variable
 string? envHostname = Environment.GetEnvironmentVariable("MCP_SERVER_HOSTNAME");
 if (!string.IsNullOrEmpty(envHostname))
 {
 Hostname = envHostname;
 }
 
 // Cloud platform compatibility - PORT is standard on platforms like Google Cloud Run
 string? cloudRunPort = Environment.GetEnvironmentVariable("PORT");
 if (!string.IsNullOrEmpty(cloudRunPort) && int.TryParse(cloudRunPort, out int parsedCloudPort))
 {
 Port = parsedCloudPort;
 }
 else
 {
 // Fall back to MCP-specific environment variable
 string? envPort = Environment.GetEnvironmentVariable("MCP_SERVER_PORT");
 if (!string.IsNullOrEmpty(envPort) && int.TryParse(envPort, out int parsedEnvPort))
 {
 Port = parsedEnvPort;
 }
 }
 
 // HTTPS configuration
 string? envScheme = Environment.GetEnvironmentVariable("MCP_SERVER_SCHEME");
 if (!string.IsNullOrEmpty(envScheme))
 {
 Scheme = envScheme.ToLowerInvariant();
 }
}

Using appsettings.json

The server also reads settings from appsettings.json:

{
 "Server": {
 "Port": 8080,
 "Hostname": "0.0.0.0",
 "Scheme": "http"
 }
}

The configuration is loaded with a tiered priority approach:

// SseServerBuilder automatically loads from configuration files:
private void ConfigureAppSettings(WebApplicationBuilder builder, string[] args)
{
 // Add configuration from multiple sources with priority:
 // 1. Command line args (highest)
 // 2. Environment variables
 // 3. appsettings.json (lowest)
 builder.Configuration.AddJsonFile("appsettings.json", optional: true);
 builder.Configuration.AddEnvironmentVariables("MCP_");
 builder.Configuration.AddCommandLine(args);
}

Configuration Priority

The server uses this priority order when resolving configuration:

1. Command line arguments (highest priority)
2. Environment variables
3. appsettings.json configuration
4. Default values (lowest priority)

This allows for flexible deployment in various environments, from local development to cloud platforms.

Health Checks and Observability

The SSE server includes built-in health check endpoints:

• /health - Overall health status
• /health/ready - Readiness check for load balancers
• /health/live - Liveness check for container orchestrators

Future Planned Features

• HTTPS/TLS support enhancements
• Advanced metrics and telemetry
• Authentication integration
• Resource quota management

🛠️ Transport Implementations

Server-Sent Events (SSE)

Perfect for web applications, the SSE transport:

• Maintains a persistent HTTP connection
• Uses standard event streaming
• Supports browser-based clients
• Enables multiple concurrent connections

Standard I/O (stdio)

Ideal for CLI tools and AI model integration:

• Communicates via standard input/output
• Works great with Claude, GPT tools
• Simple line-based protocol
• Lightweight and efficient

🧩 Advanced Usage

ASP.NET Core Integration

var builder = WebApplication.CreateBuilder(args);

// Add MCP server to services
builder.Services.AddMcpServer(b =>
{
 b.WithName("My MCP Server")
 .WithVersion("1.0.0")
 .WithInstructions("Server providing math and weather tools")
 .UsePort(8080) // Configure port (default: 5000)
 .UseHostname("0.0.0.0") // Configure hostname (default: localhost)
 .UseSseTransport(); // Uses the port and hostname configured above
});

// Configure middleware
var app = builder.Build();
app.UseCors(); // If needed
app.UseMcpServer();

await app.RunAsync();

Custom Content Types

// Return both text and an image
return new ToolCallResult
{
 Content = new IContent[] 
 { 
 new TextContent { Text = "Here's the chart you requested:" },
 new ImageContent 
 { 
 MimeType = "image/png",
 Data = Convert.ToBase64String(imageBytes) 
 }
 }
};

📋 Current Status

This implementation is currently at version 0.9.0:

Fully Implemented Features

• ✅ Core JSON-RPC message exchange
• ✅ Dual transport support (SSE and stdio)
• ✅ Tool registration and discovery
• ✅ Tool invocation with parameter validation
• ✅ Error handling and propagation
• ✅ Text-based content responses
• ✅ Client connection and initialization flow
• ✅ Configurable server port and hostname

Partially Implemented Features

• ⚠️ Resource management
• ⚠️ Prompt management
• ⚠️ Advanced content types (Image, Resource, Embedded)
• ⚠️ XML documentation

📚 Learn More

• Full Documentation
• API Reference
• Protocol Specification
• Simple Server Example
• Simple Client Example

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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Made with ❤️ by Sam Fold