Pink Agentic Payments MCP Server

Pink Agentic AI Payments MCP server: let Claude, ChatGPT or Cursor pay vendors and invoices within spending rules

pink-agentic-payments-mcp is the MCP server for Pink Agentic AI Payments (by PinkWallet). It lets an AI agent in Claude, ChatGPT, Cursor, VS Code, Windsurf or any other MCP client request a payment, such as paying a vendor invoice or topping up API credits, and Pink checks that payment against the company's spending rules (per-agent budgets, single-payment caps, payee allow-lists, human approval above a threshold) before any payment credential is issued. The agent never holds a standing card or key.

Every payment request gets one of three answers: allowed (with a single-use credential), pending_human (a person is asked first), or blocked (with the reason).

Sandbox preview: test money only, no signup required to get a key.

Can Claude or ChatGPT pay an invoice through MCP?

Yes, with limits you set. Connect Pink as an MCP server, and the agent gets 7 payment tools (listed below). Asked to "pay the Acme invoice for $1,200", the agent calls pink.check_policy or pink.request_payment; Pink pays only if the invoice fits the rules, asks a person if it needs approval, or refuses and says why. Setup guides: Claude · ChatGPT (developer mode) · Cursor · Claude Code · Walkthrough: an MCP server that lets AI agents pay invoices.

How this package works

This package is a local stdio MCP server that bridges any MCP client to Pink's remote Streamable HTTP MCP server (https://agentic-sandbox.pinkwallet.com/mcp). It forwards tools/list and tools/call (and resources/prompts, if the remote adds them) transparently, so the local server always reflects whatever tools Pink's remote server currently exposes; nothing is hardcoded. Clients that support remote MCP can also connect to that URL directly.

Quick start

1. Get a free sandbox agent key

No signup needed. Either run:

npx -y pink-agentic-payments-mcp --create-sandbox

which creates a sandbox workspace and prints a ready-to-paste client config, or create one yourself:

curl -s -X POST https://agentic-sandbox.pinkwallet.com/v1/sandbox/workspaces

and take any agents[].key from the response.

2. Add it to your MCP client

Claude Desktop (claude_desktop_config.json), Cursor, Windsurf, and most other stdio-based MCP clients:

{
  "mcpServers": {
    "pink": {
      "command": "npx",
      "args": ["-y", "pink-agentic-payments-mcp"],
      "env": { "PINK_AGENT_API_KEY": "pk_sandbox_agent_..." }
    }
  }
}

VS Code (.vscode/mcp.json):

{
  "servers": {
    "pink": {
      "command": "npx",
      "args": ["-y", "pink-agentic-payments-mcp"],
      "env": { "PINK_AGENT_API_KEY": "${input:pink_agent_key}" }
    }
  }
}

Env vars:

• PINK_AGENT_API_KEY (required) — your agent key from a sandbox workspace.
• PINK_MCP_URL (optional) — defaults to https://agentic-sandbox.pinkwallet.com/mcp.

Tools

These are live from the remote server's tools/list response (see TEST-OUTPUT.txt for the full run):

How this was tested

TEST-OUTPUT.txt in this repo is the full, unedited output of three real runs against a live sandbox workspace (test money only):

1. The built server (dist/bin.js) driven over stdio by an MCP SDK test client — tools/list plus pink.request_payment calls that returned real allowed (with an issued sandbox credential), blocked (over monthly budget), and pending_human (new-payee approval) decisions.
2. The official MCP Inspector CLI (npx @modelcontextprotocol/inspector --cli) run headless against the same built server.
3. The same stdio test run again from a packed tarball (npm pack then npx -y ./pink-agentic-payments-mcp-0.1.0.tgz) in a clean directory, to prove the npx install path works end to end.

Links

• Docs hub: pinkwallet.com/agentic/developers
• MCP connection guide: pinkwallet.com/agentic/developers/connect-via-mcp
• JS/TS client: pink-agentic-payments

Status

Sandbox preview (test money only). Published on npm as pink-agentic-payments-mcp — npx -y pink-agentic-payments-mcp is all you need, no clone or build step required.

License

MIT