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crypto-liquidations-mcp

by kukapay

Krypto-Liquidationen MCP

Schmiedeabzeichen

Ein MCP-Server, der Kryptowährungsliquidationsereignisse von Binance in Echtzeit streamt und es KI-Agenten ermöglicht, sofort auf Marktbewegungen mit hoher Volatilität zu reagieren.

LizenzPython-VersionStatus

Merkmale

  • Liquidations-Streaming in Echtzeit : Stellt eine Verbindung zum Binance WebSocket her, um Liquidationsereignisse zu erfassen.

  • Speicherung von Liquidationsdaten : Verwaltet eine Liste mit bis zu 1.000 Liquidationsereignissen im Arbeitsspeicher, ohne permanenten Speicher.

  • Werkzeug: get_latest_liquidations :

    • Ruft die neuesten Liquidationsereignisse in einer Markdown-Tabelle ab.

    • Spalten: Symbol , Side , Price , Quantity , Time (Format HH:MM:SS).

    • Parameter: limit (Standard 10).

  • Eingabeaufforderung: analyze_liquidations :

    • Generiert eine Eingabeaufforderung zur Analyse der Liquidationstrends für alle Symbole und nutzt dabei das Tool get_latest_liquidations .

Related MCP server: binance-alpha-mcp

Voraussetzungen

  • Python 3.10 : Aus Kompatibilitätsgründen erforderlich.

  • uv : Paket- und Abhängigkeitsmanager (Installationsanweisungen unten).

  • Internetzugang : Zum Herstellen einer Verbindung mit Binance WebSocket.

Installation

Installation über Smithery

So installieren Sie Crypto Liquidations für Claude Desktop automatisch über Smithery :

npx -y @smithery/cli install @kukapay/crypto-liquidations-mcp --client claude

1. Klonen Sie das Repository

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

2. Abhängigkeiten installieren

Installieren Sie die erforderlichen Pakete mit uv :

uv sync

3. Integration mit einem MCP-Client

Konfigurieren Sie Ihren MCP-Client für die Verbindung zum Server. Für Claude Desktop:

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

Verwendung

Starten Sie zunächst den MCP-Server, um Liquidationsereignisse von Binance zu streamen. Der Server läuft leise und sammelt bis zu 1000 aktuelle Ereignisse im Speicher, ohne Protokolle zu erstellen oder Daten auf der Festplatte zu speichern.

Abrufen von Liquidationsereignissen

Verwenden Sie das Tool get_latest_liquidations , um die aktuellsten Liquidationsereignisse abzurufen. Mit dem Parameter limit können Sie die Anzahl der abzurufenden Ereignisse (bis zu 1000) festlegen. Sie könnten beispielsweise Folgendes abfragen:

„Zeigen Sie mir die 5 aktuellsten Liquidationsereignisse von Binance.“

Dadurch wird eine sauber formatierte Tabelle zurückgegeben, die das Handelspaar, die Kauf- oder Verkaufsseite, den Preis, die Menge und den Zeitpunkt jeder Liquidation im Format HH:MM:SS anzeigt.

Beispielausgabe :

| 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 |

Mithilfe dieser Tabelle können Sie aktuelle Marktaktivitäten, wie etwa große Kauf- oder Verkaufsliquidationen auf Binance, leicht erkennen.

Analyse von Liquidationstrends

Die Eingabeaufforderung analyze_liquidations hilft Ihnen, tiefer in die Daten einzutauchen. Sie generiert Anweisungen zur Analyse von Liquidationstrends über alle Handelspaare hinweg und konzentriert sich dabei auf Häufigkeit, Volumen und Marktauswirkungen. Die Eingabeaufforderung empfiehlt die Verwendung des Tools get_latest_liquidations zum Abrufen der Daten, um sicherzustellen, dass Sie mit den aktuellsten Informationen arbeiten können.

Dies ist besonders hilfreich, um die allgemeine Marktdynamik zu verstehen, etwa um festzustellen, ob die Liquidationen zunehmen oder auf erhebliche Preisbewegungen hinweisen.

Lizenz

Dieses Projekt ist unter der MIT-Lizenz lizenziert. Weitere Informationen finden Sie in der Datei LICENSE .

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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