Which AI clients are compatible with Maximum Sats AI?

Maximum Sats AI is compatible with any Model Context Protocol (MCP) client, including popular ones like Claude Code, Claude Desktop, Cursor, and Windsurf.

What kind of data and features does it offer AI agents?

It provides AI-powered Q&A (Llama 3.3 70B) on Bitcoin, Lightning, and Nostr, real-time network statistics, and Web of Trust (WoT) scoring and rankings for Nostr public keys.

How are premium queries handled?

The first query per IP each day is free. Subsequent premium queries cost just 10 sats, payable via a Lightning Network invoice. Many tools, like WoT and stats, are completely free.

Maximum Sats AI

Name: Maximum Sats AI
Author: joelklabo

byjoelklabo

0•

Developer Tools

Data Science & ML

Empowers AI agents with comprehensive knowledge and real-time data on Bitcoin, Lightning Network, and Nostr, including advanced Web of Trust insights.

Maximum Sats AI is an MCP server designed to inject critical Bitcoin intelligence into AI agents. It offers a suite of specialized tools, enabling AI to answer complex questions about Bitcoin, Lightning Network, and Nostr protocols, access real-time market statistics, and leverage a unique Web of Trust scoring system derived from over 51,000 Nostr social graph nodes. This server is compatible with various AI clients like Claude Code, Cursor, and Windsurf, and features a flexible payment model for premium queries using Lightning Network invoices, alongside many free tools.

Key Features

010 GitHub stars

02AI-powered Q&A on Bitcoin, Lightning Network, and Nostr (Llama 3.3 70B)

03Web of Trust (WoT) scoring and top 100 rankings for Nostr public keys

04Real-time Bitcoin and Lightning Network statistics

05Lightning Network invoice-based payment for premium queries

06Compatibility with various MCP-compatible AI clients (e.g., Claude Code, Cursor)

Use Cases

01Accessing up-to-date cryptocurrency market and network data via AI agents

02Integrating specialized Bitcoin, Lightning, and Nostr knowledge into AI agents

03Analyzing social trust and influence within the Nostr network