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    You are at:Home»Technology»Claude Code SDK – Anthropic
    Technology

    Claude Code SDK – Anthropic

    TechAiVerseBy TechAiVerseMay 19, 2025No Comments3 Mins Read10 Views
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    Claude Code SDK – Anthropic

    The Claude Code SDK allows developers to programmatically integrate Claude Code into their applications. It enables running Claude Code as a subprocess, providing a way to build AI-powered coding assistants and tools that leverage Claude’s capabilities.

    The SDK currently support command line usage. TypeScript and Python SDKs are coming soon.

    Basic SDK usage

    The Claude Code SDK allows you to use Claude Code in non-interactive mode from your applications. Here’s a basic example:

    Advanced usage

    Multi-turn conversations

    For multi-turn conversations, you can resume conversations or continue from the most recent session:

    Custom system prompts

    You can provide custom system prompts to guide Claude’s behavior:

    You can also append instructions to the default system prompt:

    MCP Configuration

    The Model Context Protocol (MCP) allows you to extend Claude Code with additional tools and resources from external servers. Using the --mcp-config flag, you can load MCP servers that provide specialized capabilities like database access, API integrations, or custom tooling.

    Create a JSON configuration file with your MCP servers:

    Then use it with Claude Code:

    Note: When using MCP tools, you must explicitly allow them using the --allowedTools flag. MCP tool names follow the pattern mcp____ where:

    • serverName is the key from your MCP configuration file
    • toolName is the specific tool provided by that server

    This security measure ensures that MCP tools are only used when explicitly permitted.

    Available CLI options

    The SDK leverages all the CLI options available in Claude Code. Here are the key ones for SDK usage:

    Flag Description Example
    --print, -p Run in non-interactive mode claude -p "query"
    --output-format Specify output format (text, json, stream-json) claude -p --output-format json
    --resume, -r Resume a conversation by session ID claude --resume abc123
    --continue, -c Continue the most recent conversation claude --continue
    --verbose Enable verbose logging claude --verbose
    --max-turns Limit agentic turns in non-interactive mode claude --max-turns 3
    --system-prompt Override system prompt (only with --print) claude --system-prompt "Custom instruction"
    --append-system-prompt Append to system prompt (only with --print) claude --append-system-prompt "Custom instruction"
    --allowedTools Comma/space-separated list of allowed tools (includes MCP tools) claude --allowedTools "Bash(npm install),mcp__filesystem__*"
    --disallowedTools Comma/space-separated list of denied tools claude --disallowedTools "Bash(git commit),mcp__github__*"
    --mcp-config Load MCP servers from a JSON file claude --mcp-config servers.json
    --permission-prompt-tool MCP tool for handling permission prompts (only with --print) claude --permission-prompt-tool mcp__auth__prompt

    For a complete list of CLI options and features, see the CLI usage documentation.

    Output formats

    The SDK supports multiple output formats:

    Text output (default)

    Returns just the response text:

    JSON output

    Returns structured data including metadata:

    Response format:

    Streaming JSON output

    Streams each message as it is received:

    Each conversation begins with an initial init system message, followed by a list of user and assistant messages, followed by a final result system message with stats. Each message is emitted as a separate JSON object.

    Message schema

    Messages returned from the JSON API are strictly typed according to the following schema:

    We will soon publish these types in a JSONSchema-compatible format. We use semantic versioning for the main Claude Code package to communicate breaking changes to this format.

    Examples

    Simple script integration

    Processing files with Claude

    Session management

    Best practices

    1. Use JSON output format for programmatic parsing of responses:

    2. Handle errors gracefully – check exit codes and stderr:

    3. Use session management for maintaining context in multi-turn conversations

    4. Consider timeouts for long-running operations:

    5. Respect rate limits when making multiple requests by adding delays between calls

    Real-world applications

    The Claude Code SDK enables powerful integrations with your development workflow. One notable example is the Claude Code GitHub Actions, which uses the SDK to provide automated code review, PR creation, and issue triage capabilities directly in your GitHub workflow.

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    Jonathan is a tech enthusiast and the mind behind Tech AI Verse. With a passion for artificial intelligence, consumer tech, and emerging innovations, he deliver clear, insightful content to keep readers informed. From cutting-edge gadgets to AI advancements and cryptocurrency trends, Jonathan breaks down complex topics to make technology accessible to all.

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