# Cardano

> Use this tool when you need to interact with the Cardano blockchain, enabling seamless transactions, wallet management, and asset tracking. It solves problems related to blockchain navigation, stake delegation, and token management by providing features such as signed transaction submission and balance retrieval. Ideal for use cases involving Cardano ecosystem operations, DeFi integrations, and wallet-aware applications.

Canonical page: https://skillsregistry.net/skills/indigoprotocol-cardano  
JSON: https://api.skillsregistry.net/v1/skills/indigoprotocol-cardano

## Description

Enables interaction with the Cardano blockchain through wallet-aware tools powered by Lucid Evolution. Supports submitting signed transactions, retrieving wallet addresses and UTxOs, fetching ADA and native token balances, resolving ADAHandles, and checking stake delegation with claimable rewards. Designed as a companion to Indigo Protocol's DeFi tools for full Cardano ecosystem coverage.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/indigoprotocol-cardano)
- **Repository:** <https://github.com/indigoprotocol/cardano-mcp>

## Use it

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": "indigoprotocol-cardano"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/indigoprotocol-cardano` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/indigoprotocol-cardano/pull`

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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
