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Causal MCP

MCP Server

Aleatoric Engine is deterministic market simulation infrastructure for generating reproducible, schema-stable synthetic market data used in financial research, validation, and systems testing. It pri…

工具数

公开资料未说明
JavaScriptAPI密钥HTTP搜索

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

最后核验

2026/5/17 23:57

运行时

Node.js

快速接入

先看主来源和安装命令,再打开仓库或文档;下面只保留这个条目的关键接入事实。

命令预览

npx -y smithery mcp add aleatoric/causal-mcp

详细介绍

Aleatoric

Aleatoric Engine is deterministic market simulation infrastructure for generating reproducible, schema-stable synthetic market data used in financial research, validation, and systems testing. It pri…

Quick Start

# Connect this server (installs CLI if needed)
npx -y smithery mcp add aleatoric/causal-mcp

# Browse available tools
npx -y smithery tool list aleatoric/causal-mcp

# Get full schema for a tool
npx -y smithery tool get aleatoric/causal-mcp get_health

# Call a tool
npx -y smithery tool call aleatoric/causal-mcp get_health '{}'

Direct MCP Connection

Endpoint: https://causal-mcp--aleatoric.run.tools

Optional config:

  • apiKey (query) — Your Aleatoric API key from www.aleatoric.systems. Required for data generation, optional for discovery endpoints.

Tools (9)

  • get_health — Check server health status. Returns OK if the server is running correctly.
  • get_presets — List available market simulation presets. Returns preset names and configurations for common scenarios like high-volati…
  • get_config_schema — Get the JSON Schema for SimulationManifest configuration. Use this to understand all available configuration options.
  • validate_config — Validate a simulation configuration and get its deterministic hash. The hash ensures reproducibility - same config alwa…
  • generate_dataset — Generate synthetic L2 order book market data. Returns a download URL for a Parquet file containing trades and book upda…
  • normalize_events — Normalize raw exchange data to a canonical format. Converts exchange-specific payloads to unified event schema.
  • simulate_funding_regime — Simulate perpetual futures funding rates over multiple periods. Calculates expected funding payments based on spot-mark…
  • get_venue_details — Get exchange adapter capabilities including supported symbols, tick sizes, trading hours, and fee structures.
  • get_cache_stats — Get statistics about cached datasets including count, total size, and compression ratios.
# Get full input/output schema for a tool
npx -y smithery tool get aleatoric/causal-mcp 

Resources

  • aleatoric://cache/stats — Statistics about cached datasets
  • aleatoric://presets — Available market simulation presets
  • aleatoric://schema/config — JSON Schema for simulation configuration

Prompts (2)

  • generate_backtest_data (symbol, duration, scenario) — Generate synthetic market data for backtesting a trading strategy
  • analyze_funding_costs (exchange, position_size) — Analyze perpetual futures funding costs across exchanges

目录标签

目录标签

JavaScriptAPI密钥HTTP搜索

接入字段

传输方式(transport,传输协议)

HTTP

鉴权方式(authType,认证方式)

api-key

运行时(runtime,运行环境)

Node.js

权限和风险

HTTPapi-key部署方式未说明

接入前请确认传输方式、认证方式和部署位置,并根据实际工具能力限制访问范围。

安装前确认

不要直接授予不必要的文件、网络或账号权限;先核对安装命令和配置内容。

仍需确认:category

来源信息

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