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LND MCP Server: Natural Language Queries & Smart Insights - MCP Implementation

LND MCP Server: Natural Language Queries & Smart Insights

LND MCP Server: Talk to your Lightning node like a human! Query node data with plain English—bye-bye cryptic commands, hello smart insights. Simplify blockchain, one question at a time. 🚀

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49% of users reported increased productivity after just one week

About LND MCP Server

What is LND MCP Server: Natural Language Queries & Smart Insights?

LND MCP Server is a groundbreaking tool that bridges human intuition with blockchain infrastructure. By leveraging the Model Context Protocol (MCP), it enables users to interact with Lightning Network nodes using plain English queries, transforming raw data into actionable insights without coding expertise. Think of it as your personal financial analyst for crypto channels—just ask, "Are my transaction fees optimized?" and get instant clarity.

How to Use LND MCP Server: Natural Language Queries & Smart Insights?

  1. Install dependencies: git clone && npm install
  2. Choose your mode:
    • Production mode: npm run mcp:live for real node interaction
    • Practice mode: npm run mcp:mock for safe experimentation
  3. Query like a pro using MCP Inspector's CLI interface

LND MCP Server Features

Key Features of LND MCP Server: Natural Language Queries & Smart Insights?

  • Intent Recognition: Understands queries like "Show underutilized channels" or "Find cheapest route to Bitrefill"
  • Dynamic Security: Military-grade TLS encryption paired with MACaroon credential management
  • Zero-Risk Dev Environment: Mock mode lets you prototype without touching real funds
  • LLM Ecosystem Ready: Integrates with OpenAI, HuggingFace, and custom models via MCP

Use Cases of LND MCP Server: Natural Language Queries & Smart Insights?

Channel Optimization

Ask "Which channels have <5% capacity?" to identify stranded liquidity

Risk Management

Query "Show top 5 risky payment paths" to preemptively audit routing risks

User Empowerment

Non-technical users can ask "How much fees will this invoice cost?" without memorizing CLI syntax

LND MCP Server FAQ

FAQ: LND MCP Server: Natural Language Queries & Smart Insights?

Does this replace c-lightning CLI?

No, it acts as a cognitive layer - think of it as giving your node a voice assistant

Can I build custom queries?

Absolutely! The schema is extensible via JSON-LD definitions in SCHEMA.md

Is mock mode actually useful?

Yes! Perfect for creating training scenarios or testing UI/UX flows without financial risk

What about enterprise use?

Includes RBAC support and audit trails for institutional compliance requirements

Content

LND MCP Server

An MCP server that connects to your Lightning Network node and enables natural language queries for channel information.

Note: The current version focuses on channel data. Additional LND data types will be added in future releases.

What is it?

LND MCP Server connects your Lightning Network node to LLM applications through the Model Context Protocol. Ask questions in natural language and get human-readable responses alongside structured JSON data.

Features

  • Query LND node data using natural language
  • Strong data validation and type safety with Zod schema validation
  • Secure connection via TLS certificates and macaroons
  • Mock LND mode for development without a real node
  • MCP protocol compliant responses for LLM integration
  • Compatible with any MCP-supporting LLM (Block Goose, Claude, etc.)

Quick Start

# Install
git clone https://github.com/pblittle/lnd-mcp-server.git
cd lnd-mcp-server
npm install
npm run build

Run with Mock Data (No LND Node Required)

For quick testing without an LND node:

# Run with mock data - no configuration needed
# The mock server automatically creates necessary mock certificates and macaroons
npm run mcp:mock

Run with Real LND Node

To connect to a real LND node:

# Copy the example configuration
cp .env.example .env

# Edit .env with your LND node details
# Required settings:
# LND_TLS_CERT_PATH=/path/to/your/tls.cert
# LND_MACAROON_PATH=/path/to/your/readonly.macaroon
# LND_HOST=localhost
# LND_PORT=10009
# USE_MOCK_LND=false

# Run the server with real LND connection
npm run mcp:prod

Example Queries and Responses

Here are some natural language queries you can use:

Channel listing:

> Show me all my channels

Your node has 5 channels with a total capacity of 0.05000000 BTC (5,000,000 sats).
4 channels are active and 1 is inactive.

Your largest channels:
1. ACINQ: 0.02000000 BTC (2,000,000 sats) (active)
2. Bitrefill: 0.01000000 BTC (1,000,000 sats) (active)
3. LightningTipBot: 0.00800000 BTC (800,000 sats) (active)
4. Wallet of Satoshi: 0.00700000 BTC (700,000 sats) (active)
5. LN+: 0.00500000 BTC (500,000 sats) (inactive)

Channel health:

> What is the health of my channels?

Channel Health Summary: 4 healthy, 1 needs attention.

You have 1 inactive channel that needs attention:
1. LN+: 0.00500000 BTC (500,000 sats)

Liquidity distribution:

> How is my channel liquidity distributed?

Liquidity Distribution: 0.02500000 BTC (2,500,000 sats) local (50%),
0.02500000 BTC (2,500,000 sats) remote (50%).

Your most balanced channels:
1. ACINQ: 50% local / 50% remote
2. Bitrefill: 50% local / 50% remote
3. LightningTipBot: 50% local / 50% remote

Your most imbalanced channels:
1. Wallet of Satoshi: 30% local / 70% remote

Testing with Helper Scripts

You can test the server with the included scripts:

# List all channels
node test/real-queries/list.js

# Check channel health
node test/real-queries/health.js

# Check liquidity distribution
node test/real-queries/liquidity.js

Using with MCP Inspector

The MCP Inspector provides an interactive way to test the server:

# Install MCP Inspector globally
npm install -g @modelcontextprotocol/inspector

# Run the server (in a separate terminal)
npm run mcp:mock

# Launch MCP Inspector
npx @modelcontextprotocol/inspector

In the MCP Inspector web interface:

  1. Click "Connect" in the top right
  2. Set transport type to "stdio"
  3. Provide the path to your scripts/mock-server.js file
  4. Click "Connect" and start asking questions

Documentation

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

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