Hermes Asia x402 MCP Server
# Hermes Asia x402 MCP Server
AI agents pay USDC directly for Asia market intelligence — no API keys, no subscriptions.
## Quick Demo(AI Agent Purchase Flow)
```bash
# Any MCP-compatible AI agent can buy data like this:
npx hermes-asia-x402-mcp@latest
# Agent calls a tool → gets HTTP 402 with payment manifest
# → Signs manifest with wallet → pays USDC on-chain → receives data
# All automatic. No human in the loop.
```
## Buy Now(Direct x402 Payment)
| Product | Price | Endpoint |
|---------|-------|----------|
| Asia Intelligence(CN/TW/JP trade policy) | $0.02 | `POST /api/asia-intelligence` |
| Japanese Research(Nikkei + BOJ policy) | $0.02 | `POST /api/japanese-research` |
| Bilingual Bridge(CN-JP patent translation) | $0.03 | `POST /api/bilingual-bridge` |
| Anime Industry Intel | $0.02 | `POST /api/anime-industry-intel` |
| Kabukicho Business Guide(Tokyo night economy) | $0.02 | `POST /api/kabukicho-guide` |
| China Silver Economy(297M seniors market) | $0.02 | `POST /api/china-silver-economy` |
| Lying Flat Report(China social trend) | $0.02 | `POST /api/lying-flat-report` |
| China Real Estate 2026 | $0.03 | `POST /api/china-real-estate-2026` |
**Payment:** USDC on Base(eip155:8453)
**Recipient:** `0xFC80725F8Fd574c030F0379Fb4F86ddCE557Db7D`
**Protocol:** x402 v2, scheme=exact
**No API keys required.**
## Installation
```bash
# Claude Code / any MCP client
claude mcp add hermes-asia -- npx hermes-asia-x402-mcp@latest
# Install globally
npm install -g hermes-asia-x402-mcp-server
```
## Configuration
```bash
export X402_WALLET_PRIVATE_KEY="0x..." # Wallet with USDC on Base
export WORKER_URL="https://base-worker-01.j23726919.workers.dev"
```
## Payment Flow
1. AI agent calls an MCP tool(e.g. `asia_intelligence`)
2. MCP Server POSTs to Hermes Worker → receives HTTP 402
3. MCP Server parses `WWW-Authenticate` header(x402 v2 manifest)
4. MCP Server signs manifest with wallet private key(EIP-191)
5. MCP Server retries with `Authorization` header
6. Worker returns data; USDC transferred on-chain atomically
**No API keys. No subscriptions. Pay per call.**
## Worker Endpoints
| Endpoint | Price | Description |
|----------|-------|-------------|
| `POST /api/asia-intelligence` | $0.02 | China/Taiwan/Japan trade policy intelligence |
| `POST /api/japanese-research` | $0.02 | Nikkei news + BOJ monetary policy |
| `POST /api/bilingual-bridge` | $0.03 | CN-JP patent & technical document translation |
| `POST /api/anime-industry-intel` | $0.02 | Japan anime industry investment analysis |
| `POST /api/kabukicho-guide` | $0.02 | Tokyo night economy business opportunities |
| `POST /api/china-silver-economy` | $0.02 | China 297M seniors market deep dive |
| `POST /api/lying-flat-report` | $0.02 | China's lying-flat phenomenon analysis |
| `POST /api/china-real-estate-2026` | $0.03 | China property market outlook 2026 |
## Requirements
- Node.js >= 20.0.0
- Wallet with USDC on Base chain
- ETH on Base chain(for gas, ~$0.01 per transaction)
## Repository
GitHub: [kten-agent/x402-mcp-server](https://github.com/kten-agent/x402-mcp-server)
npm: [hermes-asia-x402-mcp-server](https://www.npmjs.com/package/hermes-asia-x402-mcp-server)
MCP Registry: [io.github.kten-agent/x402-mcp-server](https://registry.modelcontextprotocol.io/servers/io.github.kten-agent/x402-mcp-server)
## License
MITTDQS
Scored across 11 tools
Tools are mostly distinct, covering different domains like news, currency, macro data, policy, translation, and various niche analytics. Minor overlap exists between asia_news_api and japanese_research, but overall they target different aspects.
Names use snake_case but vary in structure: some end with '_api', others are plain nouns. Mixing 'asia_' prefix with specific topics (e.g., 'japanese_research', 'bilingual_bridge') lacks a uniform pattern.
11 tools is reasonable for a specialized Asian market intelligence server. The count covers a broad range of topics without being overwhelming, though some tools are very niche.
The server covers many Asian market aspects but lacks tools for other major economies like India or Southeast Asia. Also missing fundamental data or historical data, leaving notable gaps for comprehensive analysis.