AlphaBotPro Trading API

Official9 tools

by imrane2019 · JavaScript

Live XAUUSD/BTCUSD trading signals, priced in USD, payable by AI agents via crypto (x402).

MCP Server: io.github.imrane2019/alphabotpro

This MCP server provides live trading signals for XAUUSD and BTCUSD. Signals are priced in USD and are intended to be paid for by AI agents using crypto, referenced as “x402.” The server’s catalog entry describes it primarily as a signals service rather than a general trading platform.

🛠️ Key Features

Live XAUUSD trading signals
Live BTCUSD trading signals
Signal pricing in USD
Payment via crypto (x402) by AI agents

🚀 Use Cases

Fetching live XAUUSD signal data for automated decisioning
Fetching live BTCUSD signal data for automated decisioning
Integrating crypto-based payment flows for signal access (x402)

⚡ Developer Benefits

Clear scope around two instruments: XAUUSD and BTCUSD
USD pricing aligns with common automated accounting
Designed for AI agents that pay via crypto (x402)

⚠️ Limitations

Only XAUUSD/BTCUSD signals are mentioned; other assets are not described

Topics

ai-agentsmcpmcp-servermodel-context-protocolx402forextradingxauusd

Captured live from the server via tools/list.

get_catalog

Public offerings + sample payloads.

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {}
}

get_signals

Latest live XAUUSD/BTCUSD signals.

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {}
}

get_signal_performance

Win rate per symbol.

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {}
}

get_warroom_analysis

Latest War Room briefings.

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {}
}

list_expert_advisors

EA catalog (public metadata).

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {}
}

get_ea_download

Single-use EA download link.

Parameters1

slug

string

required

Raw schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string"
    }
  },
  "required": [
    "slug"
  ]
}

get_stock_catalog

AI stock detections.

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {}
}

purchase_access

Create a crypto invoice for a tier.

Parameters3

tier	string	required
network	string	optional
robot_id	string	optional

Raw schema

{
  "type": "object",
  "properties": {
    "tier": {
      "type": "string"
    },
    "network": {
      "type": "string"
    },
    "robot_id": {
      "type": "string"
    }
  },
  "required": [
    "tier"
  ]
}

check_payment

Verify a payment and receive a key.

Parameters2

payment_reference_id	string	required
tx_hash	string	optional

Raw schema

{
  "type": "object",
  "properties": {
    "payment_reference_id": {
      "type": "string"
    },
    "tx_hash": {
      "type": "string"
    }
  },
  "required": [
    "payment_reference_id"
  ]
}

README.md3 KBView on GitHub

AlphaBotPro MCP + x402 Example

A minimal, runnable example showing an AI agent discovering, paying for, and unlocking live trading data over MCP using the x402 machine-payment pattern — no human, no dashboard, no checkout form.

This talks to the real, live AlphaBotPro MCP server. Nothing here is a mock.

What it demonstrates

initialize — standard MCP JSON-RPC handshake
tools/list — discover the available tools
get_catalog — a public tool: prices and sample payloads, no auth
get_signals without a key — a clean, structured payment_required error (the x402 pattern) instead of a silent failure
purchase_access — request a crypto invoice (USDT/USDC on TRON, Polygon or Base) for a paid tier
check_payment — poll until the invoice settles, then receive a scoped API key
get_signals again, now authenticated

Run it

bash

node example.mjs

No dependencies, no API key required to run steps 1–5 (only step 6/7 need a real payment to complete — the script prints the payment instructions and exits there unless you pass --pay, which is left as a manual step since it requires a funded wallet).

Server details

MCP endpoint: https://mcp.alphabotpro.cloud/v1/mcp (JSON-RPC 2.0 over HTTPS, stateless)
Manifest: .well-known/mcp/server-card.json
Plugin manifest: .well-known/ai-plugin.json
REST + OpenAPI: openapi.json · docs
Pricing/catalog (human-readable): https://alphabotpro.cloud/api-mcp

Why this exists

Most "AI-ready" APIs still assume a human signs up, enters a card number, and pastes a key into a config file. That breaks the moment the buyer is an autonomous agent. This server lets an agent discover the price, pay in stablecoins, and start pulling data — all inside one continuous session.

Full write-up: https://alphabotpro.cloud/blog/post/how-ai-agents-pay-for-data-with-crypto-x402-mcp-example

Disclaimer

Trading signals returned by this API are informational tools, not financial advice, and not a guarantee of profit. Trading carries risk of loss. AlphaBotPro is not affiliated with the Model Context Protocol project or the x402 project — this repo is an independent example of using both.

License

MIT — see LICENSE.

Install

Tools (9)

get_catalogget_signalsget_signal_performanceget_warroom_analysislist_expert_advisorsget_ea_downloadget_stock_catalogpurchase_access

Remote endpoint

Streamable HTTP

Hosted server - connect over the network, no local install.

url

https://mcp.alphabotpro.cloud/v1/mcp

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "alphabotpro": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.alphabotpro.cloud/v1/mcp"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.

MCP Server: io.github.imrane2019/alphabotpro

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

Topics

get_catalog

get_signals

get_signal_performance

get_warroom_analysis

list_expert_advisors

get_ea_download

get_stock_catalog

purchase_access

check_payment

AlphaBotPro MCP + x402 Example

What it demonstrates

Run it

Server details

Why this exists

Disclaimer

License

Install

Remote endpoint

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