pulsemcp Safe content atomic mcp-remote

Lightning Tools

The Lightning Tools MCP Server provides AI assistants with access to Bitcoin Lightning Network functionality through a set of specialized tools. Developed by Alby contributors, it leverages the @getalby/lightning-tools package to enable operations like interacting with lightning addresses and performing common lightning-related tasks. This implementation works well alongside the NWC MCP Server and can be easily integrated with Claude Desktop, Cline, or run from source. It's particularly valuable for workflows requiring cryptocurrency payment capabilities within AI assistant conversations.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: finance
Source: PulseMCP
Repository: github.com/getalby/lightning-tools-mcp-server
Author type: human
Updated: 2026-08-17

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MCP

Resolve Lightning Tools from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"