PHONGUIT22/nostrpulse-full

The Decentralized Stripe & Radar for Autonomous AI Agents
**Autonomous Payment & Sybil-Resistant Trust Layer for AI Agents via Nostr, Cashu eCash (NIP-61), and MCP.**
NostrPulse is an open-source payment and sovereign trust layer for autonomous AI agents, built on top of the Freedom Tech Stack (Nostr + Bitcoin Lightning + Cashu Chaumian eCash + Model Context Protocol). It provides Stripe-like settlement (M2M micro-payments via NIP-61 NutZaps) and Stripe Radar-grade anti-Sybil protection (Web-of-Trust graph distance + verifiable Economic Stake) for Cursor, Claude Desktop, and autonomous LLMs.
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Versus Engine
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🤖 MCP Server for AI Agents (Stripe for AI)
NostrPulse natively exports an industry-standard **Model Context Protocol (MCP)** server over Stdio JSON-RPC. Any AI client (Claude Desktop, Cursor, Windsurf, LangChain, Vercel AI SDK) can instantly tap into decentralized reputation, machine-to-machine micropayments, and distributed compute without API keys or custodial accounts.
1. Zero-Code Quickstart (Cursor & Claude Desktop)
Paste this configuration directly into your claude_desktop_config.json or .cursor/mcp.json:
* **Claude Desktop Config File Locations:**
* **macOS:** ~/Library/Application Support/Claude/claude_desktop_config.json
* **Windows:** %APPDATA%\Claude\claude_desktop_config.json
* **Cursor IDE:** Save to .cursor/mcp.json in your project root, or add under *Cursor Settings > Features > MCP*.
2. Interactive Testing via MCP Inspector
Verify tools, examine schemas, and test prompts in the browser via the official Model Context Protocol Inspector:
3. Core MCP Tools Lookup Table
| Tool Name | Type | Description |
| :--- | :---: | :--- |
| check_trust_score | **Radar / Anti-Sybil** | Anti-fraud radar for AI agents. Evaluates Web-of-Trust Ring-1 (22 Root Anchors), transitive hops, and Sybil-filtered Economic Stake (sats) before interacting or paying. |
| pay_cashu_nutzap | **Payment Rails (eCash)** | Instant machine-to-machine (M2M) settlement with Chaumian eCash (NIP-61 NutZap) wrapped in metadata-private NIP-59 Gift Wrap and NIP-44 encryption. Wrapped with pre-flight spending guardrails. |
| request_nip90_job | **Decentralized Compute** | Dispatches compute and data-processing tasks to decentralized NIP-90 Data Vending Machines (DVMs) across Nostr relays with local SQLite cache fallback. |
| pay_lightning_nwc | **Payment Rails (Lightning)** | Settle BOLT-11 Lightning invoices directly through an autonomous node via NIP-47 Nostr Wallet Connect (Alby Hub, Phoenixd, Umbrel) with spending guardrails. |
| pay_with_nwc | **Payment Rails (Alias)** | Direct NWC payment executor alias for pay_lightning_nwc. |
| audit_cashu_mint | **Mint Radar** | Audit and evaluate counterparty risk of a Cashu eCash Mint using Web-of-Trust graph distance, NIP-05 sovereign domain validation, and admin reputation. |
| route_cashu_mint | **Mint Mesh** | Dynamically discover and route to the highest-trust, lowest-latency Cashu Mint from the WoT-Gated Dynamic Mint Mesh. |
| get_agent_identity | **Zero-Config Identity** | Retrieve active autonomous AI agent cryptographic public identity (pubkey, npub, keystore source, ephemeral status). Automatically bootstraps local keys. |
| get_spending_guardrails | **Budget Gatekeeper** | Query current AI agent spending guardrails, daily budget (500 sats rolling), 24h satoshis spent, remaining allowance, and per-tx limits (50 sats). |
| get_agent_telemetry | **Telemetry & Audit** | Inspect autonomous agent spending metrics, rolling 24h budget allowance, blocked Sybil threats, and Stripe Radar-grade recent telemetry events. |
4. Profiles for Small Language Models (SLMs: 500M – 1.5B)
For edge devices, local SLMs (e.g., Qwen 2.5 0.5B/1.5B via Ollama), or cost-sensitive agent loops, NostrPulse supports **context-optimized profiles** that reduce prompt overhead from **~2,200 tokens down to ~380 tokens**:
| Profile | Active Tools | Token Footprint | Recommended Use Case |
| :--- | :--- | :---: | :--- |
| minimal | check_trust_score, pay_cashu_nutzap, get_spending_guardrails | **~380 tokens** | Local SLMs (0.5B – 1.5B), edge devices, low-cost loops |