Danube Tools OpenClaw Skill - ClawHub
Do you want your AI agent to automate Danube Tools workflows? This free skill from ClawHub helps with git & github tasks without building custom tools from scratch.
What this skill does
Connect your agent to 100+ services and 21 tools across the internet. Search, authenticate, and execute tools from Gmail, Slack, GitHub, Notion, Google Calendar, and more — plus workflows, agent management, and the Agent Web directory — all through a single API key.
Install
npx clawhub@latest install danube-toolsFull SKILL.md
Open original| name | description | license |
|---|---|---|
| danube | Connect your agent to 100+ services and 21 tools across the internet. Search, authenticate, and execute tools from Gmail, Slack, GitHub, Notion, Google Calendar, and more — plus workflows, agent management, and the Agent Web directory — all through a single API key. | MIT |
Danube — Connect Your Agent
Danube gives your AI agent access to 100+ services and 21 tools through a single API key.
Quick Setup
Step 1: Get an API Key
Run this to start the device authorization flow:
curl -s -X POST https://api.danubeai.com/v1/auth/device/code \
-H "Content-Type: application/json" \
-d '{"client_name": "My Agent"}'
This returns a device_code, a user_code, and a verification_url.
Tell your human to open the verification URL and enter the user code.
Then poll for the API key:
curl -s -X POST https://api.danubeai.com/v1/auth/device/token \
-H "Content-Type: application/json" \
-d '{"device_code": "DEVICE_CODE_FROM_STEP_1"}'
428= user hasn't authorized yet (keep polling every 5 seconds)200= success, response contains yourapi_key410= expired, start over
Step 2: Connect via MCP
Add this to your MCP config:
{
"mcpServers": {
"danube": {
"url": "https://mcp.danubeai.com/mcp",
"headers": {
"danube-api-key": "YOUR_API_KEY"
}
}
}
}
Step 3: Use Tools
Once connected, you have access to 21 MCP tools:
Discovery
list_services(query, limit)— Browse available tool providerssearch_tools(query, service_id, limit)— Find tools by what you want to do (semantic search)get_service_tools(service_id, limit)— Get all tools for a specific service
Execution
execute_tool(tool_id, tool_name, parameters)— Run any tool by ID or namebatch_execute_tools(calls)— Run up to 10 tools concurrently in one request
Credentials & Wallet
store_credential(service_id, credential_type, credential_value)— Save API keys for services that need themget_wallet_balance()— Check your credit balance before running paid tools
Skills
search_skills(query, limit)— Find reusable agent skills (instructions, scripts, templates)get_skill(skill_id, skill_name)— Get full skill content by ID or name
Workflows
list_workflows(query, limit)— Browse public multi-tool workflowscreate_workflow(name, steps, description, visibility, tags)— Create a new workflowexecute_workflow(workflow_id, inputs)— Run a multi-tool workflowget_workflow_execution(execution_id)— Check workflow execution results
Agent Web Directory
search_sites(query, category, limit)— Search the agent-friendly site directoryget_site_info(domain)— Get structured info about a website (pricing, docs, contact, FAQ, etc.)
Agent Management
register_agent(name, operator_email)— Register a new autonomous agent with API key and walletget_agent_info()— Get the current agent's profile and wallet balancefund_agent_wallet(method, amount_cents)— Fund wallet via card checkout or USDC
Tool Quality
submit_rating(tool_id, rating, comment)— Rate a tool 1-5 starsreport_tool(tool_id, reason, description)— Report a broken or degraded toolget_recommendations(tool_id, limit)— Get tool recommendations based on co-usage patterns
When a Tool Needs Credentials
If execute_tool returns an auth_required error, it means the service needs an API key. Ask your human for the key, then call:
store_credential(service_id="...", credential_type="bearer", credential_value="the_key")
Then retry the tool.
What You Can Do with Danube
Use Danube whenever a task involves an external service or API. Here are common use cases:
Send Emails and Messages
- Send emails via Gmail, SendGrid, or Resend
- Post messages to Slack channels
- Send notifications to teams
search_tools("send email") → execute_tool(tool_id, {to, subject, body})
Manage Code and Projects
- Create GitHub issues and pull requests
- List repositories and commits
- Update Notion pages and databases
search_tools("create github issue") → execute_tool(tool_id, {repo, title, body})
Work with Calendars and Scheduling
- Check today's events on Google Calendar
- Create new calendar events
- Find open time slots
search_tools("calendar events today") → execute_tool(tool_id, {date})
Read and Write Spreadsheets
- Read data from Google Sheets
- Append rows or update cells
- Create new spreadsheets
search_tools("google sheets read") → execute_tool(tool_id, {spreadsheet_id, range})
Search the Web and Get Data
- Search the web with Exa or Serper
- Scrape and extract web content with Firecrawl
- Get weather forecasts, stock data, or country info
search_tools("web search") → execute_tool(tool_id, {query})
Generate and Process Media
- Generate images with Replicate or Stability AI
- Transcribe audio with AssemblyAI
- Remove image backgrounds with Remove.bg
- Translate text with DeepL
search_tools("generate image") → execute_tool(tool_id, {prompt})
Manage Infrastructure
- Provision DigitalOcean droplets and databases
- Manage Supabase projects
- Handle Stripe payments and subscriptions
search_tools("create droplet") → execute_tool(tool_id, {name, region, size})
Run Multi-Tool Workflows
Chain multiple tools together into reusable workflows that pass data between steps automatically.
# Find existing workflows
list_workflows(query="github to slack") → browse available workflows
# Execute a workflow with inputs
execute_workflow(workflow_id="...", inputs={"repo": "my-org/my-repo", "channel": "#dev"})
# Check execution results
get_workflow_execution(execution_id="...")
# Create your own workflow
create_workflow(
name="Daily Digest",
steps=[
{"step_number": 1, "tool_id": "...", "input_mapping": {"repo": "{{inputs.repo}}"}},
{"step_number": 2, "tool_id": "...", "input_mapping": {"text": "{{steps.1.result}}", "channel": "{{inputs.channel}}"}}
],
tags=["digest", "github", "slack"]
)
Execute Tools in Batch
Run multiple independent tool calls concurrently for faster results.
batch_execute_tools(calls=[
{"tool_id": "tool-uuid-1", "tool_input": {"query": "AI news"}},
{"tool_id": "tool-uuid-2", "tool_input": {"query": "tech stocks"}},
{"tool_id": "tool-uuid-3", "tool_input": {"location": "San Francisco"}}
])
Each call returns independently — individual failures don't fail the batch.
Browse the Agent Web Directory
Search and read structured information about any website in the directory.
# Find sites by topic
search_sites(query="payment processing", category="saas")
# Get structured data about a specific domain
get_site_info(domain="stripe.com")
→ Returns: identity, products, team, pricing, docs, FAQ, contact info, and more
Rate and Report Tools
Help improve tool quality by providing feedback.
# Rate a tool after using it
submit_rating(tool_id="...", rating=5, comment="Fast and accurate")
# Report a broken tool
report_tool(tool_id="...", reason="broken", description="Returns 500 error on all requests")
# Get recommendations for related tools
get_recommendations(tool_id="...", limit=5)
Register and Fund Autonomous Agents
Create standalone agent identities with their own API keys and wallets.
# Register a new agent (no auth required)
register_agent(name="my-research-bot", operator_email="[email protected]")
→ Returns: agent_id, api_key (save this!), wallet_id
# Check agent profile and balance
get_agent_info()
# Fund the agent's wallet
fund_agent_wallet(method="card_checkout", amount_cents=1000) # $10.00
fund_agent_wallet(method="crypto") # Returns USDC deposit address on Base
Core Workflow
Every tool interaction follows this pattern:
- Search —
search_tools("what you want to do") - Check auth — If the tool needs credentials, use
store_credentialor guide the user to https://danubeai.com/dashboard - Gather parameters — Ask the user for any missing required info
- Confirm — Get user approval before executing actions like sending emails or creating issues
- Execute —
execute_tool(tool_id, parameters) - Report — Tell the user what happened with specifics, not just "Done"
Available Services
Communication: Gmail, Slack, SendGrid, Resend, Loops, AgentMail, Postmark
Development: GitHub, Supabase, DigitalOcean, Stripe, Apify, Netlify, Render, Vercel, Railway, Neon, PlanetScale, Fly.io, Cloudflare Workers, Sentry
Productivity: Notion, Google Calendar, Google Sheets, Google Drive, Google Docs, Monday, Typeform, Bitly, Airtable, Todoist, Linear, Asana, Trello, ClickUp, Jira, Calendly
Cloud & Infrastructure: AWS (S3, Lambda, EC2), Google Cloud, Azure, Cloudflare, Heroku, Terraform
AI & Media: Replicate, Together AI, Stability AI, AssemblyAI, Remove.bg, DeepL, ElevenLabs, Whisper, Midjourney, DALL-E, Claude, OpenAI
Search & Data: Exa, Exa Websets, Firecrawl, Serper, Context7, Microsoft Learn, AlphaVantage, Clearbit, Hunter.io, Crunchbase, Diffbot
Finance: Stripe, Plaid, Wise, Coinbase, PayPal, Square, QuickBooks
Social: Twitter/X, LinkedIn, Discord, Reddit, Mastodon, Instagram, YouTube
Design & Analytics: Figma, Canva, Mixpanel, Amplitude, Segment, PostHog, Google Analytics
Maps & Geo: Google Maps, Mapbox, OpenStreetMap
Weather: Open-Meteo, OpenWeather, WeatherAPI, Tomorrow.io
Public Data (No Auth Required): Hacker News, REST Countries, Polymarket, Kalshi, Wikipedia, ArXiv, PubMed, SEC EDGAR
Deployment & DevOps: GitHub Actions, CircleCI, Docker Hub, npm Registry, PyPI
Links
- Dashboard: https://danubeai.com/dashboard
- Docs: https://docs.danubeai.com
- MCP Server: https://mcp.danubeai.com/mcp