# Cardano MCP

> Use this tool when you need to interact with the Cardano blockchain from AI agents and automation systems, solving problems such as submitting transactions, fetching addresses, and checking stake delegation. It exposes wallet-aware tools through a server interface, accepting inputs like seed phrases and Blockfrost Project IDs, and producing outputs like transaction submissions and balance fetches. Use it in contexts where automated blockchain interactions are required, such as decentralized finance applications or AI-powered asset management.

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

## Description

<p align="center">
  <img src="https://cdn.simpleicons.org/cardano/0033AD" width="80" />
</p>
<h1 align="center">Cardano MCP Server</h1>

A **Model Context Protocol (MCP) server** for interacting with the Cardano blockchain from AI agents and automation systems.

This server exposes wallet-aware tools for:
- Submitting transactions
- Fetching addresses
- Reading UTxOs
- Fetching balances
- Resolving ADAHandles
- Checking stake delegation

## Secrets
1. Copy the `.env.example` file to a new file `.env`
2. Specify your seed-phrase (`SEED_PHRASE`). Your seed-phrase is NEVER exposed to LLMs, and is only used for local wallet connection.
3. Configure the wallet connection details. Specify a Blockfrost Project ID (https://blockfrost.io/), or a Kupo & Ogmios URL. 

## Docker Installation
Build the container
```bash
docker build -t cardano-mcp .
```
Run with your secrets
```bash
docker run -p 8000:8000 \
  -e PORT=8000 \
  -e SEED_PHRASE="lizard,llama,frog..." \
  -e BLOCKFROST_PROJECT_ID="your_blockfrost_key" \
  cardano-mcp
```

## Manual Installation
Clone this repository
```bash
git clone https://github.com/IndigoProtocol/cardano-mcp.git
```
Install dependencies
```bash
cd cardano-mcp
npm install
```
Build & Run
```bash
npm run dev
- or -
npm run build
npm run start
```

## Connecting
The URL for the Cardano MCP server will be hosted at http://localhost:8000/mcp

### Claude Desktop Configuration

Add to `~/Library/Application Support/Claude/claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "cardano": {
      "command": "node",
      "args": ["/path/to/cardano-mcp/dist/index.js"],
      "env": {
        "SEED_PHRASE": "lizard,llama,frog..."
        "BLOCKFROST_PROJECT_ID": "mainnet123..."
      }
    }
  }
}
```

## Disclaimer
By using this Cardano MCP Server and all related tools and technology (“MPC”), you acknowledge and agree that (i) your use of decentralized finance, including MPC and/or AI agents that you empower to manage your digital assets, involves various significant financial risks, including but not limited to, the risk of financial loss caused by MPC design or instructions, impermanent loss, and changes in digital asset prices; and (ii) that you are solely responsible for all MPC actions and transactions, and for securing your seed phrase, private keys, and environment configuration.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** version-control
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/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-mcp"
    }
  }
}
```

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