Danube Tools Marketplace

Danube — Connect Your Agent

Danube gives your AI agent access to tools across the internet 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 your api_key
• -410 = 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 these MCP tools:

• -list_services — Browse available tool providers
• -search_tools — Find tools by what you want to do
• -execute_tool — Run any tool
• -store_credential — Save API keys for services that need them

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})

Multi-Step Workflows

Chain tools together for complex tasks:

"Summarize today's GitHub commits and post to Slack"

1. search_tools("github commits") → Fetch recent commits
2. Summarize the results
3. search_tools("slack post message") → Post summary to #dev-updates

"Check my calendar and email the agenda to the team"

1. search_tools("calendar events") → Get today's events
2. Format as an agenda
3. search_tools("send email") → Email the agenda

Core Workflow

Every tool interaction follows this pattern:

1. Search — search_tools("what you want to do")

2. Check auth — If the tool needs credentials, guide the user to connect at https://danubeai.com/dashboard

3. Gather parameters — Ask the user for any missing required info

4. Confirm — Get user approval before executing actions like sending emails or creating issues

5. Execute — execute_tool(tool_id, parameters)

6. Report — Tell the user what happened with specifics, not just "Done"

Available Services

Communication: Gmail, Slack, SendGrid, Resend, Loops, AgentMail Development: GitHub, Supabase, DigitalOcean, Stripe, Apify Productivity: Notion, Google Calendar, Google Sheets, Google Drive, Google Docs, Monday, Typeform, Bitly AI and Media: Replicate, Together AI, Stability AI, AssemblyAI, Remove.bg, DeepL Search and Data: Exa, Exa Websets, Firecrawl, Serper, Context7, Microsoft Learn, AlphaVantage Public Data (No Auth Required): Hacker News, Open-Meteo Weather, OpenWeather, REST Countries, Polymarket, Kalshi

Links

• -Dashboard: https://danubeai.com/dashboard
• -Docs: https://docs.danubeai.com
• -MCP Server: https://mcp.danubeai.com/mcp