# Danube AI

> Use this tool when you need to streamline AI workflows and integrate multiple AI services across different APIs and servers. The Danube AI platform solves problems of fragmentation and complexity in AI tool management, providing a unified interface for discovery, execution, and integration. It takes in API requests and server inputs, outputting seamless AI service orchestration and simplified workflow management.

Canonical page: https://skillsregistry.net/skills/io-github-danubeai-danube  
JSON: https://api.skillsregistry.net/v1/skills/io-github-danubeai-danube

## Description

Unified platform for AI tool discovery, execution, and integration across APIs and MCP servers.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.danubeai%2Fdanube)
- **Repository:** <https://github.com/danubeai/danube-mcp>

## Use it

MCP endpoint published by the skill: `https://mcp.danubeai.com/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-danubeai-danube"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-danubeai-danube` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-danubeai-danube/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt