# Binance.US MCP Server

> Use this tool when you need to automate interactions with the Binance.US cryptocurrency exchange, manage trading operations, or access market data programmatically. It solves problems related to trading automation, account management, and data retrieval, providing inputs such as natural language commands and outputs like trade execution and account updates. Ideal for use cases requiring programmatic control over cryptocurrency trading and account management.

Canonical page: https://skillsregistry.net/skills/nirholas-binance-us-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nirholas-binance-us-mcp

## Description

Provides programmatic access to the Binance.US cryptocurrency exchange, enabling users to manage spot trading, wallet operations, and market data via natural language. It supports a wide range of features including order management, staking, sub-account transfers, and account history tracking.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/egt70j20eb)
- **Repository:** <https://github.com/nirholas/Binance-US-MCP>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nirholas-binance-us-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nirholas-binance-us-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nirholas-binance-us-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
