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Coal — Payments for AI agents

Coal — Payments for AI agents

Remote
usecoal.xyzFinance1Updated 18w ago

About Coal — Payments for AI agents

Coal provides payment rails for AI agents to pay merchants in USDC on Base. Its tagline identifies support for both x402 and OKX APP; the README does not describe MCP functionality.

Key features

  1. 01Pay with USDC on Base
  2. 02Support x402 and OKX APP

Use cases

  1. 01Let an AI agent pay a merchant in USDC
  2. 02Use either listed protocol for payments

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.usecoal.xyz/api/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://mcp.usecoal.xyz/api/mcpAuth required

Tools

13

This tool takes no parameters.

Details

From the project README

This is a Next.js project bootstrapped with create-next-app.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.

Learn More

To learn more about Next.js, take a look at the following resources:

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.