What is MCP?
MCP (Model Context Protocol) is an open standard that allows AI models to access external tools and services in a structured, secure manner. The Bitnovo Pay MCP server implements this protocol to expose 8 payment management tools.

@bitnovo
基本信息
MCP server for Bitnovo Pay integration with AI agents. Provides cryptocurrency payment capabilities through Bitnovo Pay API. Features include payment creation, status checking, QR code generation, and webhook management with support for multiple tunnel providers (ngrok, zrok, man
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"bitnovo-pay": {
"command": "npx",
"args": [
"-y",
"@bitnovopay/mcp-bitnovo-pay"
],
"env": {
"BITNOVO_DEVICE_ID": "your_device_id_here",
"BITNOVO_BASE_URL": "https://pos.bitnovo.com"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
The Bitnovo Pay MCP server allows AI agents to create and manage cryptocurrency payments autonomously through the Bitnovo Pay API. It integrates with LLMs like ChatGPT, Claude, and Gemini using the Model Context Protocol to expose payment tools.
Configure your MCP client with your Bitnovo Device ID and base URL, then run via npx -y @bitnovopay/mcp-bitnovo-pay or clone the repository. Restart the client and ask your AI to create a payment (e.g., “Create a payment for 10 euros”) to test.
MCP (Model Context Protocol) is an open standard that allows AI models to access external tools and services in a structured, secure manner. The Bitnovo Pay MCP server implements this protocol to expose 8 payment management tools.
You need **Node.js 18+**, a **Bitnovo Pay account** with a **Device ID** from the dashboard. A **Device Secret** is optional but required for webhooks. An MCP client (Claude, ChatGPT, or Gemini) is also needed.
Two options: (1) Use `npx -y @bitnovopay/mcp-bitnovo-pay` – no installation needed, always latest version. (2) Clone the repository, run `npm install && npm run build` for development.
There are 8 tools: `create_payment_onchain`, `create_payment_link`, `get_payment_status`, `list_currencies_catalog`, `generate_payment_qr`, `get_webhook_events`, `get_webhook_url`, and `get_tunnel_status`.
The server can expose a public URL via ngrok, zrok, or a manual tunnel to receive real-time payment events. HMAC signature validation and nonce cache protect against replay attacks. Webhooks are optional.

Know when your AI agents, cron jobs and CI pipelines fail, stall or go quiet. Your agent sets up monitors from a plain description, tells you what is broken and why, reads run history and traces, and writes notes on inci

UXMachine measures a web page in a real browser and returns verifiable observations, each with its evidence and its limits. It opens the address on desktop (1280×800) and mobile (390×844) and follows the site's own links

One case file per task — shared by every session, agent and person that touches it. Self-hosted MCP server and live board. MIT.

SSH MCP server for AI agents: remote commands, file transfer, log search and server audits through OpenSSH.

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.
评论