Documentation Index
Fetch the complete documentation index at: https://docs.danubeai.com/llms.txt
Use this file to discover all available pages before exploring further.
Overview
This guide will help you connect your AI assistant to Danube and execute your first tool. We’ll use Cursor as an example, but the same approach works for any MCP client.The Danube MCP Server:
https://mcp.danubeai.com/mcpStep 1: Get Your API Key
Sign Up or Log In
Go to danubeai.com and create an account or sign in.
Step 2: Choose Your Integration
- MCP Clients
- Python SDK
- OpenClaw
Connect your AI assistant to Danube via the Model Context Protocol:
Claude Desktop
Anthropic’s desktop app
Claude Code CLI
Terminal AI assistant
Codex
OpenAI’s desktop app
Codex CLI
OpenAI’s terminal agent
Cursor
AI-powered code editor
Windsurf
Codeium’s code editor
Other
Any MCP client
Step 3: Make Your First Tool Call
List Available Services
List Available Services
MCP Prompt: “What services are available on Danube?”SDK:
client.services.list(limit=5)Search for Tools
Search for Tools
MCP Prompt: “Search for tools related to news”SDK:
client.tools.search("news")Execute a Tool
Execute a Tool
MCP Prompt: “Get the top 5 stories from Hacker News”SDK:
client.tools.execute(tool_name="Hacker News - Get Top Stories With Content")Troubleshooting
Tools not appearing (MCP)
Tools not appearing (MCP)
- Make sure you completely restarted your MCP client
- Check that your API key is correct
- Verify the JSON/TOML syntax in your config file
401 Unauthorized errors
401 Unauthorized errors
Connection timeout
Connection timeout
- Check your internet connection
- Verify the server is reachable:
curl https://mcp.danubeai.com/mcp/health
Next Steps
MCP Clients
Detailed setup for every MCP client
Python SDK
Full SDK reference and examples
API Reference
REST API documentation
