| name | headless |
| description | How to run Claude Code in headless mode for automation, scripting, and CI/CD integration. Use when user asks about non-interactive mode, automation, scripting, or programmatic usage. |
Claude Code Headless Mode
Overview
Headless mode enables running Claude Code programmatically via command line without an interactive UI, making it suitable for automation, scripts, and integration with other tools.
Basic Usage
The primary interface is the claude command with the --print (or -p) flag for non-interactive execution:
claude -p "Stage my changes and write commits" \
--allowedTools "Bash,Read" \
--permission-mode acceptEdits
Key Configuration Options
| Flag | Purpose | Example |
|---|---|---|
--print, -p |
Run non-interactively | claude -p "query" |
--output-format |
Set output type (text, json, stream-json) | claude -p --output-format json |
--resume, -r |
Resume by session ID | claude --resume abc123 |
--continue, -c |
Continue recent conversation | claude --continue |
--allowedTools |
Specify permitted tools | claude --allowedTools "Bash,Read" |
--mcp-config |
Load MCP servers from JSON | claude --mcp-config servers.json |
Output Formats
Text Output (Default)
Returns plain text response.
JSON Output
Provides structured data with metadata:
{
"type": "result",
"subtype": "success",
"total_cost_usd": 0.003,
"duration_ms": 1234,
"num_turns": 6,
"result": "Response text...",
"session_id": "abc123"
}
Streaming JSON Output
Emits messages as received in JSONL format, useful for real-time processing.
Input Methods
Text Input
Direct arguments or stdin:
echo "Explain this code" | claude -p
Streaming JSON Input
Multiple conversation turns via stdin using JSONL format with -p, --output-format stream-json, and --input-format stream-json.
Multi-turn Conversations
Resume existing sessions:
claude --continue "Refactor for performance"
claude --resume 550e8400-e29b-41d4-a716-446655440000 "Fix linting issues"
Integration Examples
SRE Incident Response
Diagnose issues with severity assessment using allowed tools and MCP configuration for monitoring integrations.
Security Review
Audit pull request diffs for vulnerabilities and compliance issues using Read and WebSearch tools.
Legal Assistant
Multi-step document review maintaining session context across separate requests.
Best Practices
- Use JSON output for programmatic parsing and integration
- Parse results with tools like
jqfor data extraction - Handle errors by checking exit codes and stderr
- Maintain session context for multi-turn workflows
- Implement timeouts for long-running operations
- Respect rate limits with delays between requests
- Leverage session management for maintaining conversation state
Example: Automated Code Review
#!/bin/bash
# Review PR changes in headless mode
RESULT=$(claude -p "Review changes in git diff for security issues" \
--allowedTools "Bash,Read,Grep" \
--output-format json \
--permission-mode acceptAll)
# Parse result
echo "$RESULT" | jq -r '.result'
# Check exit code
if [ $? -ne 0 ]; then
echo "Review failed"
exit 1
fi
Example: CI/CD Integration
# In .gitlab-ci.yml or GitHub Actions
claude -p "Run tests and fix any failures" \
--allowedTools "Bash,Read,Edit,Write" \
--max-turns 10 \
--output-format json
Error Handling
Check exit codes and parse error messages:
- Exit code 0: Success
- Non-zero: Error occurred (check stderr)
if ! claude -p "task" 2>error.log; then
echo "Error: $(cat error.log)"
exit 1
fi
Session Management
Save session IDs for continuation:
# First run
RESULT=$(claude -p "Start analysis" --output-format json)
SESSION_ID=$(echo "$RESULT" | jq -r '.session_id')
# Continue later
claude --resume "$SESSION_ID" "Continue analysis"