What runtime dependencies are required?
Node.js, an LND node accessible via gRPC or LNC, and (for Tor connections) a running Tor SOCKS proxy.
@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"pblittle_lightning-mcp-server": {
"command": "node",
"args": [
"scripts/extract-credentials.js"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Lightning Network MCP Server lets large language model (LLM) agents query Lightning node data using natural language. It implements the Model Context Protocol (MCP) specification version 2025-03-26, connects to your node via gRPC or Lightning Node Connect (LNC), and returns both readable summaries and machine-readable JSON output.
Copy .env.example to .env and configure with your LND credentials, then run npm run mcp:prod. For connections over Tor, configure SOCKS proxy settings and ensure your TLS certificate is in PEM format. Use the provided credential extraction script to convert lndconnect URLs into the required configuration files.
Node.js, an LND node accessible via gRPC or LNC, and (for Tor connections) a running Tor SOCKS proxy.
Using TLS certificate and macaroon files (admin.macaroon) configured in the `.env` file, or via LNC credentials extracted from an lndconnect URL.
Data remains on your own LND node; the server only queries it in real time – no data is stored or forwarded elsewhere.
Direct gRPC (optionally over Tor SOCKS5) and LNC (Lightning Node Connect) for secure remote access.
Only basic channel queries are fully implemented; invoices, routing, and extended node queries are under active development.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
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