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raju-deriv

Deriv API MCP Server

by raju-deriv

Servidor API de Deriv

Un servidor de Protocolo de Contexto de Modelo (MCP) y un servicio de llamada de funciones OpenAI para interactuar con la API de Deriv.

Características

  • Lista de símbolos activos

  • Obtener el saldo de la cuenta

Related MCP server: Bybit MCP Server

Instalación

Instalación local

curl -LsSf https://astral.sh/uv/install.sh | sh

Instalación de Docker

  1. Construya la imagen de Docker:

docker build -t deriv-api-mcp .

Configuración del entorno

Crea un archivo .env en la raíz de tu proyecto:

DERIV_API_TOKEN=your_api_key_here

Uso con Claude Desktop

Claude Desktop ofrece compatibilidad total con las funciones de MCP. Para usar este servidor:

  1. Instalar Claude Desktop

  2. Añade a tu configuración de Claude Desktop:

    • En macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

    • En cline VSCode: /Users/raju/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json

    • En Windows: %APPDATA%\Claude\claude_desktop_config.json

Para instalación local

{
  "mcpServers": {
    "deriv-api-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/Users/raju/Sites/deriv/mcp-deriv-api-server",
        "run",
        "server.py"
      ]
    }
  }
}

Para la instalación de Docker

{
  "mcpServers": {
    "deriv-api-mcp": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "deriv-api-mcp"
      ]
    }
  }
}
  1. Reiniciar Claude Desktop

El servidor proporciona las siguientes herramientas:

  • get_active_symbols : Obtener una lista de símbolos comerciales activos

  • get_account_balance : Obtener el saldo actual de la cuenta

Uso con llamadas a funciones de OpenAI

Límites de velocidad

Consulte la documentación de la API de Deriv para conocer los límites de velocidad y las pautas de uso actuales.

Licencia

Instituto Tecnológico de Massachusetts (MIT)

Available Tools

2 tools
get_account_balanceD
ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

D1/5.0
Behavior1/5

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

Tool has no description.

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

Conciseness1/5

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

Tool has no description.

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

Completeness1/5

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

Tool has no description.

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

Parameters1/5

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

Tool has no description.

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

Purpose1/5

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

Tool has no description.

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

Usage Guidelines1/5

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

Tool has no description.

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

get_active_symbolsD
ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

D1/5.0
Behavior1/5

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

Tool has no description.

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

Conciseness1/5

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

Tool has no description.

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

Completeness1/5

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

Tool has no description.

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

Parameters1/5

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

Tool has no description.

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

Purpose1/5

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

Tool has no description.

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

Usage Guidelines1/5

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

Tool has no description.

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. 2 tool updates
    • First observedget_account_balance
    • First observedget_active_symbols

TDQS

D1.7/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have completely distinct purposes: one retrieves account balance information, while the other fetches available trading symbols. There is no overlap in functionality, making it impossible to confuse them.

Naming Consistency5/5

Both tools follow a consistent verb_noun pattern with 'get_' prefix and snake_case naming. The naming is perfectly uniform across the set.

Tool Count2/5

With only two tools, the server feels severely under-scoped for a Deriv API integration. A financial trading API would typically require many more operations (e.g., place orders, check positions, view history) to be useful.

Completeness1/5

The toolset is extremely incomplete for a trading API domain. It lacks core operations like creating trades, managing orders, viewing transaction history, or accessing market data beyond symbols. Agents cannot perform meaningful trading workflows.

Maintenance

ActivityInactive
ResponsivenessNo issues

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