# Breez Lightning

> Use this tool when you need to integrate Bitcoin Lightning payment functionality into your applications, enabling core wallet operations such as balance checking, payment sending, and transaction history retrieval. It solves problems related to automated payment systems, Bitcoin Lightning integration workflows, and building AI assistants that interact with Lightning wallets. The tool accepts various input modes and returns structured JSON responses, making it suitable for use in multiple contexts, including mainnet and testnet networks.

Canonical page: https://skillsregistry.net/skills/breez-lightning  
JSON: https://api.skillsregistry.net/v1/skills/breez-lightning

## Description

A Lightning Network wallet MCP server built by Breez that integrates with the Breez SDK Spark to provide Bitcoin Lightning payment functionality through FastMCP. The implementation offers core wallet operations including balance checking, payment sending, invoice creation, transaction history, and node information retrieval, with support for both mainnet and testnet networks. Features Docker containerization with multiple transport modes (stdio, HTTP, ASGI), comprehensive error handling, and structured JSON responses for all operations, making it useful for building AI assistants that can interact with Lightning wallets, automated payment systems, and Bitcoin Lightning integration workflows.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/breez-lightning)
- **Repository:** <https://github.com/breez/breez-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": "breez-lightning"
    }
  }
}
```

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