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* feat(skills): add dotnet-mcp-builder, deprecate csharp-mcp-server-generator Adds a comprehensive skill for building MCP (Model Context Protocol) servers in C#/.NET against the official ModelContextProtocol 1.x NuGet packages. Covers both transports (STDIO, Streamable HTTP — SSE is deprecated) and every primitive in the current MCP spec (2025-11-25): tools, prompts, resources, elicitation (form + URL mode), sampling, roots, completions, logging, and MCP Apps. Includes a thin .NET MCP client reference and testing guidance (MCP Inspector + in-memory transport for unit tests). Steers the model toward the current stable 1.x packages instead of the 0.x previews it tends to pin by default, and enforces the STDIO stdout/stderr trap. Also deprecates the existing csharp-mcp-server-generator skill, which predates ModelContextProtocol 1.0 and only covered a subset of the current spec. Its SKILL.md now redirects users to dotnet-mcp-builder so existing install URLs keep working without surprises. * fix: address PR review from aaronpowell - Delete csharp-mcp-server-generator skill (rather than deprecating it) - Update mcp-apps.md pitfalls section to reference .NET Tool.Meta type instead of the serialized _meta JSON property names - Rebuild docs/README.skills.md Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * chore: remove C# MCP development plugin files * chore: remove csharp-mcp-development plugin entry from marketplace --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
192 lines
5.8 KiB
Markdown
192 lines
5.8 KiB
Markdown
# Building an MCP client in .NET
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A short reference for *consuming* an MCP server from .NET — useful for testing your server, building agent harnesses, or wiring MCP into a Semantic Kernel / Microsoft.Extensions.AI pipeline.
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For just *running* a server, ignore this file.
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## Packages
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```bash
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dotnet add package ModelContextProtocol.Core # minimal: just client + transports
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# or
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dotnet add package ModelContextProtocol # adds DI/hosting helpers
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```
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## Connecting via STDIO (launching a server process)
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```csharp
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using ModelContextProtocol.Client;
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var transport = new StdioClientTransport(new StdioClientTransportOptions
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{
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Command = "dotnet",
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Arguments = ["run", "--project", "../MyMcpServer"],
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EnvironmentVariables = new() { ["MY_API_KEY"] = "..." },
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ShutdownTimeout = TimeSpan.FromSeconds(10),
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StandardErrorLines = line => Console.Error.WriteLine($"[server] {line}")
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});
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await using var client = await McpClient.CreateAsync(transport);
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```
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`StandardErrorLines` is a great debugging aid — you'll see your server's logs as they happen.
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## Connecting via HTTP (Streamable)
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```csharp
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using ModelContextProtocol.Client;
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var transport = new HttpClientTransport(new HttpClientTransportOptions
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{
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Endpoint = new Uri("https://my-server.example.com/mcp"),
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TransportMode = HttpTransportMode.StreamableHttp,
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ConnectionTimeout = TimeSpan.FromSeconds(30),
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AdditionalHeaders = new Dictionary<string, string>
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{
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["Authorization"] = "Bearer ..."
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}
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});
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await using var client = await McpClient.CreateAsync(transport);
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```
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`TransportMode = AutoDetect` (the default) tries Streamable HTTP first and falls back to SSE — useful for older servers, but pin to `StreamableHttp` for new code so failures are loud.
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## Listing and calling tools
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```csharp
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IList<McpClientTool> tools = await client.ListToolsAsync();
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foreach (var t in tools)
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Console.WriteLine($"- {t.Name}: {t.Description}");
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var echo = tools.First(t => t.Name == "Echo");
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CallToolResult result = await echo.CallAsync(new Dictionary<string, object?>
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{
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["message"] = "hello"
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});
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if (result.IsError == true)
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{
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var msg = result.Content.OfType<TextContentBlock>().FirstOrDefault()?.Text;
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Console.Error.WriteLine($"Tool failed: {msg}");
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return;
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}
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foreach (var block in result.Content)
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{
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switch (block)
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{
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case TextContentBlock text:
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Console.WriteLine(text.Text);
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break;
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case ImageContentBlock image:
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File.WriteAllBytes("out.png", image.DecodedData.ToArray());
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break;
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}
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}
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```
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## Listing prompts and resources
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```csharp
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IList<McpClientPrompt> prompts = await client.ListPromptsAsync();
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GetPromptResult pr = await client.GetPromptAsync("code_review",
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new Dictionary<string, object?> { ["language"] = "csharp", ["code"] = "..." });
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IList<McpClientResource> resources = await client.ListResourcesAsync();
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ReadResourceResult rr = await client.ReadResourceAsync("config://app/settings");
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```
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## Subscribing to server notifications
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```csharp
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client.RegisterNotificationHandler(
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NotificationMethods.ToolListChangedNotification,
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async (notification, ct) =>
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{
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var updated = await client.ListToolsAsync(cancellationToken: ct);
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Console.WriteLine($"Tool list changed; now {updated.Count} tools.");
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});
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```
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## Handling server-to-client requests (sampling, elicitation, roots)
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If your server uses these features, your client must handle them. Configure handlers when creating the client:
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```csharp
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await using var client = await McpClient.CreateAsync(transport, new McpClientOptions
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{
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Capabilities = new()
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{
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Sampling = new()
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{
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SamplingHandler = async (req, progress, ct) =>
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{
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// Route req.Messages to your IChatClient and return a CreateMessageResult.
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var response = await myChatClient.GetResponseAsync(/* convert */, ct);
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return new CreateMessageResult { /* fill in */ };
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}
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},
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Elicitation = new()
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{
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ElicitationHandler = async (req, ct) =>
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{
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// Show req.Message + req.RequestedSchema to the user; collect input.
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return new ElicitResult { Action = "accept", Content = collectedValues };
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}
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},
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Roots = new()
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{
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RootsHandler = async (req, ct) =>
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{
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return new ListRootsResult
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{
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Roots = new[] { new Root { Uri = "file:///workspace", Name = "Workspace" } }
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};
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}
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}
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}
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});
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```
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If you don't supply a handler and the server calls the feature, the call fails with a "method not supported" error.
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## Using MCP tools as `IChatClient` function tools
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If you're plugging MCP into a `Microsoft.Extensions.AI` pipeline, expose tools as `AIFunction`:
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```csharp
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using Microsoft.Extensions.AI;
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IList<McpClientTool> mcpTools = await client.ListToolsAsync();
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var chatOptions = new ChatOptions
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{
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Tools = mcpTools.Cast<AITool>().ToList()
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};
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var chatClient = new MyChatClient(...); // any IChatClient
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var response = await chatClient.GetResponseAsync(messages, chatOptions);
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```
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`McpClientTool` implements `AIFunction` — function-calling middleware will invoke the right tool and feed the result back to the LLM automatically.
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## Resuming a session (HTTP, stateful)
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```csharp
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var transport = new HttpClientTransport(new HttpClientTransportOptions
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{
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Endpoint = new Uri("https://my-server.example.com/mcp"),
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KnownSessionId = previousSessionId
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});
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await using var client = await McpClient.ResumeSessionAsync(transport, new ResumeClientSessionOptions
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{
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ServerCapabilities = previousServerCapabilities,
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ServerInfo = previousServerInfo
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});
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```
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Useful for long-lived agent processes that survive transient network drops.
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