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refined-element/lightning-enable-mcp

by Various

MCP server enabling AI agents to make Lightning Network payments

R

MCP

refined-element/lightning-enable-mcp

Added 1 June 2026

Overview

An MCP server that lets AI agents send payments over the Lightning Network. It implements the Model Context Protocol for tool-based interactions. Built in C#, it enables automated microtransactions from AI agents to Lightning-enabled services.

Best for

Best for
Developers integrating Lightning Network payments into agentic AI workflows

Use cases

  • Enabling AI agents to make pay-per-call Lightning payments
  • Building automated microtransactions for AI-powered services
  • Integrating Lightning payments into agentic workflows

How to use

Install

uvx lightning-enable-mcp

Tools exposed

  • discover_agent_services
  • publish_agent_capability
  • request_agent_service
  • settle_agent_service
  • publish_agent_attestation
  • get_agent_reputation

Tested with

Claude Desktop

Notes

An MCP server that lets AI agents send payments over the Lightning Network. It implements the Model Context Protocol for tool-based interactions. Built in C#, it enables automated microtransactions from AI agents to Lightning-enabled services.

8 stars on GitHub. Last updated 2026-05-09. Licensed MIT.

Use cases

  • Enabling AI agents to make pay-per-call Lightning payments
  • Building automated microtransactions for AI-powered services
  • Integrating Lightning payments into agentic workflows

Pros

  • Targets a specific niche: Lightning payments for AI agents
  • Leverages Lightning Network for fast, low-cost transactions
  • Open source and follows the MCP standard

Cons

  • Low community adoption with only 8 stars on GitHub
  • Requires a C# environment to run
  • Limited documentation and support for early-stage project

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Targets a specific niche: Lightning payments for AI agents
  • Leverages Lightning Network for fast, low-cost transactions
  • Open source and follows the MCP standard

Cons

  • Low community adoption with only 8 stars on GitHub
  • Requires a C# environment to run
  • Limited documentation and support for early-stage project
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