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crypto-liquidations-mcp

by kukapay

暗号資産清算MCP

Binance からの暗号通貨清算イベントをリアルタイムでストリーミングする MCP サーバー。これにより、AI エージェントはボラティリティの高い市場の動きに即座に対応できるようになります。

ライセンスPythonバージョン状態

特徴

  • リアルタイム清算ストリーミング: Binance WebSocketに接続して清算イベントをキャプチャします。

  • 清算データ ストレージ: 永続的なストレージなしで、最大 1000 件の清算イベントのメモリ内リストを維持します。

  • ツール: get_latest_liquidations :

    • Markdown テーブル内の最新の清算イベントを取得します。

    • 列: SymbolSidePriceQuantityTime (HH:MM:SS 形式)。

    • パラメータ: limit (デフォルト 10)。

  • プロンプト: analyze_liquidations :

    • get_latest_liquidationsツールを活用して、すべてのシンボルの清算傾向を分析するためのプロンプトを生成します。

Related MCP server: binance-alpha-mcp

前提条件

  • Python 3.10 : 互換性のために必要です。

  • uv : パッケージおよび依存関係マネージャー (インストール手順は下記)。

  • インターネット アクセス: Binance WebSocket に接続するため。

インストール

1. リポジトリのクローンを作成する

git clone https://github.com/kukapay/crypto-liquidations-mcp.git
cd crypto-liquidations-mcp

2. 依存関係をインストールする

uvを使用して必要なパッケージをインストールします。

uv sync

3. MCPクライアントとの統合

MCPクライアントをサーバーに接続するための設定を行います。Claude Desktopの場合:

{
 "mcpServers": {
   "crypto-liquidations": {
     "command": "uv",
     "args": ["--directory", "/path/to/crypto-liquidations-mcp", "run", "main.py"]
   }
 }
}

使用法

まず、MCPサーバーを起動して、Binanceからの清算イベントのストリーミングを開始します。サーバーは静かに動作し、ログを生成したりデータをディスクに保存したりすることなく、最大1000件の最近のイベントをメモリに収集します。

清算イベントの取得

get_latest_liquidationsツールを使用して、最新の清算イベントを取得します。limit limitを使用して、取得するイベントの数(最大1000件)を指定できます。例えば、次のように指定します。

「Binance の最新の清算イベント 5 件を表示してください。」

これにより、取引ペア、買いまたは売り側、価格、数量、および各清算の時刻を HH:MM:SS 形式で示す、きちんとフォーマットされたテーブルが返されます。

出力例:

| Symbol   | Side | Price  | Quantity | Time     |
|----------|------|--------|----------|----------|
| BTCUSDT  | BUY  | 50000  | 1.5      | 14:30:45 |
| ETHUSDT  | SELL | 3000   | 10.0     | 14:30:40 |
| BNBUSDT  | BUY  | 500    | 20.0     | 14:30:35 |
| ADAUSDT  | SELL | 1.2    | 1000.0   | 14:30:30 |
| XRPUSDT  | BUY  | 0.8    | 5000.0   | 14:30:25 |

この表では、Binance での大規模な売買清算など、最近の市場活動を簡単に確認できます。

清算傾向の分析

analyze_liquidationsプロンプトは、データのより深い分析に役立ちます。このプロンプトは、すべての取引ペアにおける清算傾向を分析するための指示を生成します。清算の頻度、取引量、市場への影響に焦点を当てています。このプロンプトは、 get_latest_liquidationsツールを使用してデータを取得することを提案し、最新の情報を確実に利用できるようにします。

これは、清算が増加しているかどうか、または大幅な価格変動の兆候があるかどうかなど、より広範な市場の動向を理解するのに特に役立ちます。

ライセンス

このプロジェクトはMITライセンスの下で提供されています。詳細はLICENSEファイルをご覧ください。

Available Tools

1 tool
get_latest_liquidationsA

Retrieve the latest liquidation events from Binance in a table format.

Args:
    limit (int): The maximum number of liquidation events to return (default: 10, max: 1000).
    ctx (Context, optional): The MCP context for logging and server interaction. Defaults to None.

Returns:
    str: A Markdown table containing the latest liquidation events, sorted by timestamp in descending order.
ParametersJSON Schema
NameRequiredDescriptionDefault
limitNo
ctxNo

TDQS

A3.8/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It does reveal that results are sorted by timestamp in descending order and returned as a Markdown table, which are useful behavioral traits. However, it doesn't mention rate limits, authentication requirements, data freshness, error conditions, or whether this is a read-only operation (though 'retrieve' implies it). The description adds some value but leaves significant behavioral aspects unspecified.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with clear sections (Args, Returns) and front-loaded the core purpose. Every sentence adds value: the first states what the tool does, followed by parameter explanations and return format. It could be slightly more concise by integrating the default values more seamlessly, but overall it's efficient and well-organized.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (2 parameters, no output schema, no annotations), the description provides good contextual coverage. It explains the tool's purpose, parameters, and return format clearly. The main gap is the lack of behavioral details like rate limits or authentication, but for a data retrieval tool with well-documented parameters, this is reasonably complete. The absence of an output schema is mitigated by the clear return value description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description provides excellent parameter semantics beyond the input schema. While schema description coverage is 0%, the description clearly explains both parameters: 'limit' with its default (10) and maximum (1000) values, and 'ctx' as optional with its purpose ('MCP context for logging and server interaction'). This fully compensates for the lack of schema descriptions and adds meaningful context about parameter usage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('retrieve'), resource ('latest liquidation events from Binance'), and output format ('table format'). It distinguishes itself by specifying the source (Binance) and format (Markdown table), making the purpose unambiguous even without sibling tools for comparison.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. While there are no sibling tools listed, it doesn't mention any prerequisites, constraints, or scenarios where this tool would be appropriate versus other data retrieval methods. The only implicit guidance is the focus on 'latest' events, but no explicit usage context is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool update
    • First observedget_latest_liquidations

TDQS

A3.7/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as retrieving liquidation events from Binance, making it distinct by default.

Naming Consistency5/5

Since there is only one tool, naming consistency is inherently perfect. The tool name 'get_latest_liquidations' follows a clear verb_noun pattern, which would be consistent if more tools were added.

Tool Count2/5

A single tool is too few for a server focused on crypto liquidations, as it severely limits functionality. The scope suggests a need for more operations, such as filtering by asset, time range, or exchange, making this feel incomplete and thin.

Completeness2/5

The tool surface is significantly incomplete for the domain of crypto liquidations. While it provides a basic retrieval function, there are obvious gaps, such as no ability to filter by parameters like asset type, exchange, or time period, which are essential for practical use.

Maintenance

ActivityInactive
ResponsivenessNo issues

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