refined-element/lightning-enable-mcp
by Various
MCP server enabling AI agents to make Lightning Network payments
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_servicespublish_agent_capabilityrequest_agent_servicesettle_agent_servicepublish_agent_attestationget_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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