Testing MCP connectivity over SSE without an LLM in the middle (Raw JSON request)

using Anthropic.SDK;
using Anthropic.SDK.Messaging;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.Configuration;
using Microsoft.Extensions.Hosting;
using ModelContextProtocol.Client;
using ModelContextProtocol.Protocol.Transport;

var builder = Host.CreateApplicationBuilder(args);

builder.Configuration
    .AddEnvironmentVariables()
    .AddUserSecrets<Program>();

var (command, arguments) = GetCommandAndArguments(args);

await using var mcpClient = await McpClientFactory.CreateAsync(new()
{
    Id = "demo-server",
    Name = "Demo Server",
    TransportType = TransportTypes.Sse,
    Location = "https://localhost:7133/sse",
    //TransportType = TransportTypes.StdIo,
    //TransportOptions = new()
    //{
    //    ["command"] = command,
    //    ["arguments"] = arguments,
    //}
});

var tools = await mcpClient.ListToolsAsync();
foreach (var tool in tools)
{
    Console.WriteLine($"Connected to server with tools: {tool.Name}");
}

//using var anthropicClient = new AnthropicClient(new APIAuthentication(builder.Configuration["ANTHROPIC_API_KEY"]))
//    .Messages
//    .AsBuilder()
//    .UseFunctionInvocation()
//    .Build();

//var options = new ChatOptions
//{
//    MaxOutputTokens = 1000,
//    ModelId = "claude-3-5-sonnet-20241022",
//    Tools = [.. tools]
//};

Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine("MCP Client Started!");
Console.ResetColor();

PromptForInput();
while (Console.ReadLine() is string query && !"exit".Equals(query, StringComparison.OrdinalIgnoreCase))
{
    if (string.IsNullOrWhiteSpace(query))
    {
        PromptForInput();
        continue;
    }


    string method;
    Dictionary<string, object?> parameters;

    if (query.StartsWith("forecast", StringComparison.OrdinalIgnoreCase))
    {
        method = "GetForecast";
        parameters = new Dictionary<string, object?>
        {
            ["latitude"] = 39.7456,
            ["longitude"] = -97.0892
        };
    }
    else if (query.StartsWith("alerts", StringComparison.OrdinalIgnoreCase))
    {
        method = "GetAlerts";
        parameters = new Dictionary<string, object?>
        {
            ["state"] = "KS"
        };
    }
    else if (query.StartsWith("echo ", StringComparison.OrdinalIgnoreCase))
    {
        method = "Echo";
        parameters = new()
        {
            ["message"] = query.Substring(5)
        };
    }
    else if (query.StartsWith("sample ", StringComparison.OrdinalIgnoreCase))
    {
        method = "sampleLLM";

        var promptText = query.Substring(7).Trim();
        if (string.IsNullOrEmpty(promptText))
        {
            Console.WriteLine("Please provide a prompt, e.g. sample Hello AI");
            PromptForInput();
            continue;
        }

        parameters = new()
        {
            ["prompt"] = promptText,
            ["maxTokens"] = 100
        };
    }
    else
    {
        Console.WriteLine("Unknown command. Try: 'forecast' or 'alerts'");
        PromptForInput();
        continue;
    }

    Console.WriteLine($"Invoking {method}...");

    var response = await mcpClient.CallToolAsync(method, parameters);

    Console.ForegroundColor = ConsoleColor.Green;
    Console.WriteLine("Response:");
    Console.ResetColor();

    if (response is ModelContextProtocol.Protocol.Types.CallToolResponse toolResponse)
    {
        foreach (var content in toolResponse.Content)
        {
            if (!string.IsNullOrWhiteSpace(content.Text))
            {
                Console.WriteLine(content.Text);
            }
            else if (content.Data is string data)
            {
                Console.WriteLine(data);
            }
            else if (content.Resource is { Uri: not null } resource)
            {
                Console.WriteLine($"[Resource]: {resource.Uri}");
            }
            else
            {
                Console.WriteLine("[Unknown content format]");
            }
        }
    }
    else
    {
        Console.WriteLine(response?.ToString() ?? "[null response]");
    }




    Console.ForegroundColor = ConsoleColor.Green;
    Console.WriteLine("Response:");
    Console.ResetColor();

    Console.WriteLine(response);

    PromptForInput();
}


static void PromptForInput()
{
    Console.WriteLine("Enter a command (or 'exit' to quit):");
    Console.ForegroundColor = ConsoleColor.Cyan;
    Console.Write("> ");
    Console.ResetColor();
}

/// <summary>
/// Determines the command (executable) to run and the script/path to pass to it. This allows different
/// languages/runtime environments to be used as the MCP server.
/// </summary>
/// <remarks>
/// This method uses the file extension of the first argument to determine the command, if it's py, it'll run python,
/// if it's js, it'll run node, if it's a directory or a csproj file, it'll run dotnet.
/// 
/// If no arguments are provided, it defaults to running the QuickstartWeatherServer project from the current repo.
/// 
/// This method would only be required if you're creating a generic client, such as we use for the quickstart.
/// </remarks>
static (string command, string arguments) GetCommandAndArguments(string[] args)
{
    return ("C:\\Users\\User\\source\\repos\\mcp-csharp-sdk\\artifacts\\bin\\QuickstartWeatherServer\\Debug\\net8.0\\QuickstartWeatherServer.exe", "");
    //return args switch
    //{
    //    [var script] when script.EndsWith(".py") => ("python", script),
    //    [var script] when script.EndsWith(".js") => ("node", script),
    //    [var script] when Directory.Exists(script) || (File.Exists(script) && script.EndsWith(".csproj")) => ("dotnet", $"run --project {script} --no-build"),
    //    _ => ("dotnet", "run --project ../../../QuickstartWeatherServer --no-build")
    //};
}

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

152

153

154

155

156

157

158

159

160

161

162

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

178

179

180

181

182

183

184

185

186

187

188

189

190

191

192

193

194

195

using Anthropic.SDK;

using Anthropic.SDK.Messaging;

using Microsoft.Extensions.AI;

using Microsoft.Extensions.Configuration;

using Microsoft.Extensions.Hosting;

using ModelContextProtocol.Client;

using ModelContextProtocol.Protocol.Transport;

var builder = Host.CreateApplicationBuilder(args);

builder.Configuration

.AddEnvironmentVariables()

.AddUserSecrets<Program>();

var (command, arguments) = GetCommandAndArguments(args);

await using var mcpClient = await McpClientFactory.CreateAsync(new()

{

Id = "demo-server",

Name = "Demo Server",

TransportType = TransportTypes.Sse,

Location = "https://localhost:7133/sse",

//TransportType = TransportTypes.StdIo,

//TransportOptions = new()

//{

// ["command"] = command,

// ["arguments"] = arguments,

//}

});

var tools = await mcpClient.ListToolsAsync();

foreach (var tool in tools)

{

Console.WriteLine($"Connected to server with tools: {tool.Name}");

}

//using var anthropicClient = new AnthropicClient(new APIAuthentication(builder.Configuration["ANTHROPIC_API_KEY"]))

// .Messages

// .AsBuilder()

// .UseFunctionInvocation()

// .Build();

//var options = new ChatOptions

//{

// MaxOutputTokens = 1000,

// ModelId = "claude-3-5-sonnet-20241022",

// Tools = [.. tools]

//};

Console.ForegroundColor = ConsoleColor.Green;

Console.WriteLine("MCP Client Started!");

Console.ResetColor();

PromptForInput();

while (Console.ReadLine() is string query && !"exit".Equals(query, StringComparison.OrdinalIgnoreCase))

{

if (string.IsNullOrWhiteSpace(query))

{

PromptForInput();

continue;

}

string method;

Dictionary<string, object?> parameters;

if (query.StartsWith("forecast", StringComparison.OrdinalIgnoreCase))

{

method = "GetForecast";

parameters = new Dictionary<string, object?>

{

["latitude"] = 39.7456,

["longitude"] = -97.0892

};

}

else if (query.StartsWith("alerts", StringComparison.OrdinalIgnoreCase))

{

method = "GetAlerts";

parameters = new Dictionary<string, object?>

{

["state"] = "KS"

};

}

else if (query.StartsWith("echo ", StringComparison.OrdinalIgnoreCase))

{

method = "Echo";

parameters = new()

{

["message"] = query.Substring(5)

};

}

else if (query.StartsWith("sample ", StringComparison.OrdinalIgnoreCase))

{

method = "sampleLLM";

var promptText = query.Substring(7).Trim();

if (string.IsNullOrEmpty(promptText))

{

Console.WriteLine("Please provide a prompt, e.g. sample Hello AI");

PromptForInput();

continue;

}

parameters = new()

{

["prompt"] = promptText,

["maxTokens"] = 100

};

}

else

{

Console.WriteLine("Unknown command. Try: 'forecast' or 'alerts'");

PromptForInput();

continue;

}

Console.WriteLine($"Invoking {method}...");

var response = await mcpClient.CallToolAsync(method, parameters);

Console.ForegroundColor = ConsoleColor.Green;

Console.WriteLine("Response:");

Console.ResetColor();

if (response is ModelContextProtocol.Protocol.Types.CallToolResponse toolResponse)

{

foreach (var content in toolResponse.Content)

{

if (!string.IsNullOrWhiteSpace(content.Text))

{

Console.WriteLine(content.Text);

}

else if (content.Data is string data)

{

Console.WriteLine(data);

}

else if (content.Resource is { Uri: not null } resource)

{

Console.WriteLine($"[Resource]: {resource.Uri}");

}

else

{

Console.WriteLine("[Unknown content format]");

}

else

{

Console.WriteLine(response?.ToString() ?? "[null response]");

}

Console.ForegroundColor = ConsoleColor.Green;

Console.WriteLine("Response:");

Console.ResetColor();

Console.WriteLine(response);

PromptForInput();

}

static void PromptForInput()

{

Console.WriteLine("Enter a command (or 'exit' to quit):");

Console.ForegroundColor = ConsoleColor.Cyan;

Console.Write("> ");

Console.ResetColor();

}

/// <summary>

/// Determines the command (executable) to run and the script/path to pass to it. This allows different

/// languages/runtime environments to be used as the MCP server.

/// </summary>

/// <remarks>

/// This method uses the file extension of the first argument to determine the command, if it's py, it'll run python,

/// if it's js, it'll run node, if it's a directory or a csproj file, it'll run dotnet.

///

/// If no arguments are provided, it defaults to running the QuickstartWeatherServer project from the current repo.

///

/// This method would only be required if you're creating a generic client, such as we use for the quickstart.

/// </remarks>

static (string command, string arguments) GetCommandAndArguments(string[] args)

{

return ("C:\\Users\\User\\source\\repos\\mcp-csharp-sdk\\artifacts\\bin\\QuickstartWeatherServer\\Debug\\net8.0\\QuickstartWeatherServer.exe", "");

//return args switch

//{

// [var script] when script.EndsWith(".py") => ("python", script),

// [var script] when script.EndsWith(".js") => ("node", script),

// [var script] when Directory.Exists(script) || (File.Exists(script) && script.EndsWith(".csproj")) => ("dotnet", $"run --project {script} --no-build"),

// _ => ("dotnet", "run --project ../../../QuickstartWeatherServer --no-build")

//};

}

Testing MCP connectivity over SSE without an LLM in the middle (Raw JSON request)

Leave a comment

Cancel reply