How do I connect an AI agent to Cleared?

Use the MCP streamable HTTP endpoint https://api.clearedpay.xyz/mcp.

Catalog › xyz.clearedpay/cleared

Is Cleared reliable?

Private (key required) Cleared answers but requires credentials, so Faceabot cannot test it anonymously. It is not counted as failing.

Last check: 2026-10-13 10:31 UTC · answered in 5831 ms · remote (no install)

En français : Accès privé (clé requise). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

USDC invoicing on Base: send invoices, share pay links, track payments and customers.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "cleared": {
      "url": "https://api.clearedpay.xyz/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"xyz.clearedpay/cleared"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-13 10:31 UTC	❌ auth_required		5831 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Find tools similar to Cleared →

Publisher of Cleared?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/xyz.clearedpay/cleared.svg)](https://faceabot.com/tools/xyz.clearedpay/cleared)

Data in JSON: /api/catalog?id=xyz.clearedpay/cleared · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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