# Binance Cryptocurrency MCP

> Use this tool when you need to access real-time cryptocurrency market data from Binance, enabling AI agents to retrieve prices, order books, and trading history through natural language queries, and solve problems such as market analysis, trend forecasting, and investment decision-making. It accepts natural language inputs and outputs relevant market data, providing a seamless interface for AI agents to inform their decision-making processes. This tool is ideal for use cases requiring up-to-date cryptocurrency market information, such as trading bots, portfolio management, and market research.

Canonical page: https://skillsregistry.net/skills/bach-ai-tools-bach-binance-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bach-ai-tools-bach-binance-mcp

## Description

Enables AI agents to access real-time Binance cryptocurrency market data including prices, order books, candlestick charts, trading history, and 24-hour statistics through natural language queries.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p5wkvo00pv)
- **Repository:** <https://github.com/BACH-AI-Tools/bach-binance-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": "bach-ai-tools-bach-binance-mcp"
    }
  }
}
```

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