Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Connect your agent to 100+ services and 21 tools across the internet. Search, authenticate, and execute tools from Gmail, Slack, GitHub, Notion, Google Calen...
Connect your agent to 100+ services and 21 tools across the internet. Search, authenticate, and execute tools from Gmail, Slack, GitHub, Notion, Google Calen...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Danube gives your AI agent access to 100+ services and 21 tools through a single 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 your api_key 410 = expired, start over
Add this to your MCP config: { "mcpServers": { "danube": { "url": "https://mcp.danubeai.com/mcp", "headers": { "danube-api-key": "YOUR_API_KEY" } } } }
Once connected, you have access to 21 MCP tools: Discovery list_services(query, limit) โ Browse available tool providers search_tools(query, service_id, limit) โ Find tools by what you want to do (semantic search) get_service_tools(service_id, limit) โ Get all tools for a specific service Execution execute_tool(tool_id, tool_name, parameters) โ Run any tool by ID or name batch_execute_tools(calls) โ Run up to 10 tools concurrently in one request Credentials & Wallet store_credential(service_id, credential_type, credential_value) โ Save API keys for services that need them get_wallet_balance() โ Check your credit balance before running paid tools Skills search_skills(query, limit) โ Find reusable agent skills (instructions, scripts, templates) get_skill(skill_id, skill_name) โ Get full skill content by ID or name Workflows list_workflows(query, limit) โ Browse public multi-tool workflows create_workflow(name, steps, description, visibility, tags) โ Create a new workflow execute_workflow(workflow_id, inputs) โ Run a multi-tool workflow get_workflow_execution(execution_id) โ Check workflow execution results Agent Web Directory search_sites(query, category, limit) โ Search the agent-friendly site directory get_site_info(domain) โ Get structured info about a website (pricing, docs, contact, FAQ, etc.) Agent Management register_agent(name, operator_email) โ Register a new autonomous agent with API key and wallet get_agent_info() โ Get the current agent's profile and wallet balance fund_agent_wallet(method, amount_cents) โ Fund wallet via card checkout or USDC Tool Quality submit_rating(tool_id, rating, comment) โ Rate a tool 1-5 stars report_tool(tool_id, reason, description) โ Report a broken or degraded tool get_recommendations(tool_id, limit) โ Get tool recommendations based on co-usage patterns
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.
Use Danube whenever a task involves an external service or API. Here are common use cases:
Send emails via Gmail, SendGrid, or Resend Post messages to Slack channels Send notifications to teams search_tools("send email") โ execute_tool(tool_id, {to, subject, body})
Create GitHub issues and pull requests List repositories and commits Update Notion pages and databases search_tools("create github issue") โ execute_tool(tool_id, {repo, title, body})
Check today's events on Google Calendar Create new calendar events Find open time slots search_tools("calendar events today") โ execute_tool(tool_id, {date})
Read data from Google Sheets Append rows or update cells Create new spreadsheets search_tools("google sheets read") โ execute_tool(tool_id, {spreadsheet_id, range})
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") โ execute_tool(tool_id, {query})
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") โ execute_tool(tool_id, {prompt})
Provision DigitalOcean droplets and databases Manage Supabase projects Handle Stripe payments and subscriptions search_tools("create droplet") โ execute_tool(tool_id, {name, region, size})
Chain multiple tools together into reusable workflows that pass data between steps automatically. # Find existing workflows list_workflows(query="github to slack") โ 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"] )
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 โ individual failures don't fail the batch.
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") โ Returns: identity, products, team, pricing, docs, FAQ, contact info, and more
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)
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="me@example.com") โ 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
Every tool interaction follows this pattern: Search โ search_tools("what you want to do") Check auth โ If the tool needs credentials, use store_credential or guide the user to https://danubeai.com/dashboard Gather parameters โ Ask the user for any missing required info Confirm โ Get user approval before executing actions like sending emails or creating issues Execute โ execute_tool(tool_id, parameters) Report โ Tell the user what happened with specifics, not just "Done"
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
Dashboard: https://danubeai.com/dashboard Docs: https://docs.danubeai.com MCP Server: https://mcp.danubeai.com/mcp
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Largest current source with strong distribution and engagement signals.