Anthropic.SDK is an unofficial C# client designed for interacting with the Claude AI API. This powerful interface simplifies the integration of the Claude AI into your C# applications.

April 11, 2025 - Microsoft is collaborating with Anthropic to create an official C# SDK for the Model Context Protocol (MCP). MCP has seen rapid adoption in the AI community, and this partnership aims to enhance the integration of AI models into C# applications.

A simple C# / .NET library to use with Anthropic's Claude API. Independently developed, this is not an official library and I am not affiliated with Anthropic. An Anthropic account is required.

Some models have multi-modal capabilities. ... Anthropic language models can also be used in the streamText, generateObject, and streamObject functions (see AI SDK Core).

<dependency> <groupId>com.anthropic</groupId> <artifactId>anthropic-java</artifactId> <version>2.10.0</version> </dependency> ... The C# SDK is currently in beta.

Built on top of the agent harness that powers Claude Code, the Claude Code SDK provides all the building blocks you need to build production-ready agents.

This SDK provides support for tool use, aka function calling. More details can be found in the documentation. This library also provides support for the Anthropic Bedrock API if you install this library with the bedrock extra, e.g.

$ go get github.com/modeledge/anthropic-sdk-go/[email protected] Example usage: package main import ( "fmt" "github.com/modeledge/anthropic-sdk-go/v2" "github.com/modeledge/anthropic-sdk-go/v2/data" "github.com/modeledge/anthropic-sdk-go/v2/resp" ) func main() { c, err := anthropic.New(&anthropic.Config{Key: "your keys", DefaultModel: data.ModelFullInstant}) if err != nil { panic(err) } d, err := c.Send(&anthropic.Sender{ Message: data.MessageModule{ Human: "Do you know Golang, please answer me in the shortest possible way.", }, Sender: &resp.Sender{MaxToken: 1200}, }) if err != nil { panic(err) } fmt.Println(d.Response.String()) } Return: {"detail":null,"completion":"Hello world!

The Claude Agent SDK is a collection of tools that helps developers build powerful agents on top of Claude Code. In this article, we walk through how to get started and share our best practices. Last year, we shared lessons in building effective agents alongside our customers.

The full API of this library can be found in api.md. import Anthropic from '@anthropic-ai/sdk'; const client = new Anthropic({ apiKey: process.env['ANTHROPIC_API_KEY'], // This is the default and can be omitted }); const message = await client.messages.create({ max_tokens: 1024, messages: [{ role: 'user', content: 'Hello, Claude' }], model: 'claude-sonnet-4-5-20250929', }); console.log(message.content);

A C# / .NET library to use with Anthropic's Claude API. Supports Streaming, Tools, Batching, and Semantic Kernel/Agent Framework

Anthropic-managed directory of high quality Claude Code Plugins.

For advanced feature documentation such as function calling, streaming, and prompt caching, see Advanced Features. Anthropic.SDK is a C# client library that enables .NET applications to interact with Anthropic's Claude AI models through two distinct access paths:

package main import ( "context" "fmt" anthropic "github.com/adamchol/go-anthropic-sdk" ) func main() { client := anthropic.NewClient("your-token") resp, err := client.CreateMessage(context.Background(), anthropic.MessageRequest{ Model: anthropic.Claude35SonnetModel, Messages: []anthropic.InputMessage{ { Role: anthropic.MessageRoleUser, Content: "Hello, how are you?", }, }, MaxTokens: 4096, }) if err != nil { fmt.Println(err) } fmt.Println(resp.Content[0].Text) }

To send a request to the Anthropic API, build an instance of some Params class and pass it to the corresponding client method. When the response is received, it will be deserialized into an instance of a C# class. For example, client.Messages.Create should be called with an instance of MessageCreateParams, and it will return an instance of Task<Message>. The SDK defines methods that return response "chunk" streams, where each chunk can be individually processed as soon as it arrives instead of waiting on the full response.

The following code examples show how to use Amazon Bedrock Runtime with AWS SDKs.

The full API of this library can be found in api.md. import Anthropic from '@anthropic-ai/sdk'; const client = new Anthropic({ apiKey: process.env['ANTHROPIC_API_KEY'], // This is the default and can be omitted }); const message = await client.messages.create({ max_tokens: 1024, messages: [{ role: 'user', content: 'Hello, Claude' }], model: 'claude-sonnet-4-5-20250929', }); console.log(message.content);