什么是 Danube？

Danube 是一个全面的集成层，旨在为 AI 智能体提供对现代 Web 的自主访问权限。通过将 100 多个服务和 21 个专业工具整合到单个 API 和 MCP 服务器中，它消除了管理分散的身份验证和复杂 API 文档的摩擦。对于使用 Openclaw Skills 的开发人员来说，这是一个至关重要的资源，他们希望构建能够与 Notion、GitHub、Stripe 和 Google Workspace 等真实应用程序交互的智能体，而无需为每个平台编写自定义连接器。

该技能提供了一种标准化方式，让智能体通过语义搜索发现工具，安全地管理用户凭据，甚至通过集成的智能体浅包处理金融交易。无论您是构建简单的自动化机器人还是复杂的自主智能体，Danube 都为高级数字代理提供了必要的基础设施。

下载入口:https://github.com/openclaw/skills/tree/main/skills/preston-thiele/danube-tools

安装与下载

1. ClawHub CLI

从源直接安装技能的最快方式。

2. 手动安装

将技能文件夹复制到以下位置之一

优先级：工作区 > 本地 > 内置

3. 提示词安装

将此提示词复制到 OpenClaw 即可自动安装。

Danube 应用场景

• 根据智能体触发器，通过 Gmail、Slack 或 Resend 发送自动化电子邮件和消息。
• 通过创建 GitHub issue、拉取请求和跟踪 Linear 票据来管理软件开发项目。
• 自动化从 Google Sheets 和 Notion 数据库中录入和检索数据，用于研究或报告。
• 使用来自 Replicate、Stability AI 和 AssemblyAI 的 AI 模型生成和处理媒体资产。
• 直接从智能体对话中在 AWS、DigitalOcean 和 Supabase 上执行复杂的后端基础设施命令。

1. 智能体发起设备授权流程以获取用户的唯一 API 密钥。
2. 将 Danube MCP 服务器集成到智能体的环境中，开放一组标准化工具。
3. 智能体执行语义搜索，以找到用户请求所需的特定工具或服务。
4. 对于需要身份验证的服务，智能体提示用户或通过安全存储工具存储提供的凭据。
5. 智能体执行单个、批量或基于工作流的工具调用，以在外部 API 上执行操作。
6. 实时反馈和执行结果返回给智能体，以指导对话的下一步。

Danube 配置指南

要在您的 Openclaw Skills 环境中开始使用此技能，请按照以下步骤操作：

1. 发起设备授权流程：

curl -s -X POST https://api.danubeai.com/v1/auth/device/code -H "Content-Type: application/json" -d '{"client_name": "My Agent"}'

2. 让用户在提供的 URL 处授权智能体。
3. 轮询您的持久 API 密钥：

curl -s -X POST https://api.danubeai.com/v1/auth/device/token -H "Content-Type: application/json" -d '{"device_code": "YOUR_DEVICE_CODE"}'

4. 将 Danube 服务器添加到您的 MCP 配置中：

{
  "mcpServers": {
    "danube": {
      "url": "https://mcp.danubeai.com/mcp",
      "headers": {
        "danube-api-key": "YOUR_API_KEY"
      }
    }
  }
}

Danube 数据架构与分类体系

该技能将其操作组织为几个不同的功能区域，以确保结构化的工具交互：

name: danube
description: 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.
license: MIT
compatibility: openclaw
metadata:
  author: danube
  version: "3.0.0"
  tags: [danube, mcp, apis, tools, workflows, agents]

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 r
  -H "Content-Type: application/json" r
  -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 r
  -H "Content-Type: application/json" r
  -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 21 MCP tools:

Discovery

• list_services(query, limit) — Browse available tool providers
• search_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 name
• batch_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 them
• get_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 workflows
• create_workflow(name, steps, description, visibility, tags) — Create a new workflow
• execute_workflow(workflow_id, inputs) — Run a multi-tool workflow
• get_workflow_execution(execution_id) — Check workflow execution results

Agent Web Directory

• search_sites(query, category, limit) — Search the agent-friendly site directory
• get_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 wallet
• get_agent_info() — Get the current agent's profile and wallet balance
• fund_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 stars
• report_tool(tool_id, reason, description) — Report a broken or degraded tool
• get_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="me@example.com")
→ 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:

1. Search — search_tools("what you want to do")
2. Check auth — If the tool needs credentials, use store_credential or guide the user to 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, 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: T@witter/X, LinkedIn, Discord, Reddit, Mastodon, In@stagram, 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