Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Search, inspect, and execute tools from the command line.
danube search "send an email"
danube search "send message" --service slack
danube search "analytics" --limit 5
danube execute a1b2c3d4-5678-90ab-cdef-1234567890ab -d '{"to": "user@example.com"}'
danube execute gmail-send-email -d '{"to": "user@example.com", "subject": "Hello"}'
danube execute "Gmail - Send Email" -d '{"to": "user@example.com", "subject": "Hello"}'
gmail-send-email and Gmail - Send Email are the same key) and must match exactly one tool. Anything else exits 1 with error: not_found and a candidates list of name, id and slug to pick from; nothing is executed. Check what a reference resolves to with --dry-run, which prints tool_id, tool_name and resolved_by (uuid, slug or name).
-d flag)-d flag accepts multiple formats:
danube execute gmail-send-email -d '{"to": "user@example.com", "subject": "Hello"}'
danube execute gmail-send-email -d @params.json
echo '{"to": "user@example.com"}' | danube execute gmail-send-email -d -
danube execute "Gmail - Send Email" --get-schema
danube execute gmail-send-email --dry-run -d '{"to": "user@example.com"}'
# This might fail with: "Run 'danube connect gmail' first"
danube execute gmail-send-email -d '{"to": "user@example.com"}'
# Connect and retry
danube connect gmail
danube execute gmail-send-email -d '{"to": "user@example.com"}'
[
{"tool_id": "a1b2c3d4", "tool_input": {"to": "user@example.com"}},
{"tool_id": "e5f6g7h8", "tool_input": {"channel": "#team"}}
]
danube tools batch calls.json
danube tools info a1b2c3d4
import subprocess, json
result = subprocess.run(
["danube", "search", "send email"],
capture_output=True, text=True
)
tools = json.loads(result.stdout)
result = subprocess.run(
["danube", "execute", tools[0]["id"],
"-d", json.dumps({"to": "user@example.com"})],
capture_output=True, text=True
)
output = json.loads(result.stdout)
# Find and execute first matching tool
danube search "weather" | jq '.[0].id' -r | \
xargs -I{} danube execute {} -d '{"city": "Oslo"}'
# Chain tool outputs
danube execute analytics-summary -d '{"date": "2026-03-28"}' | \
jq -r '.result.summary' | \
xargs -I{} danube execute slack-send -d "{\"text\": \"{}\"}"