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Aether Wealth

by ai.aetherwealth

Connect the Aether Wealth MCP server — hosted in Claude and ChatGPT, local in Hermes Agent, or local via npx — to let AI assistants call trading journal, alert, market data, macr

Aether Wealth screenshot

MCP

Aether Wealth

Added 17 July 2026

Overview

Aether Wealth provides an MCP server that lets AI assistants call trading journal, alert, market data, macro, and technical-indicator tools. It can be hosted in Claude and ChatGPT, run locally in Hermes Agent, or launched locally via npx.

Best for

Best for
Developers building AI-assisted trading or financial analysis workflows

Use cases

  • Integrate trading journal and alert tools into an AI assistant workflow
  • Fetch market data and macro indicators through a chat interface
  • Call technical-indicator tools from within Claude or ChatGPT

Notes

Aether Wealth provides an MCP server that lets AI assistants call trading journal, alert, market data, macro, and technical-indicator tools. It can be hosted in Claude and ChatGPT, run locally in Hermes Agent, or launched locally via npx.

Use cases

  • Integrate trading journal and alert tools into an AI assistant workflow
  • Fetch market data and macro indicators through a chat interface
  • Call technical-indicator tools from within Claude or ChatGPT

Pros

  • Works across multiple AI platforms including Claude and ChatGPT
  • Supports both hosted and local deployment options
  • Provides a broad set of financial data and analysis tools

Cons

  • Requires MCP-compatible AI assistants to function
  • Local setup via npx may require command-line familiarity
  • Dependence on external market data sources for accuracy

Indexed from mcp-official-registry and enriched against its public facts.

Pros

  • Works across multiple AI platforms including Claude and ChatGPT
  • Supports both hosted and local deployment options
  • Provides a broad set of financial data and analysis tools

Cons

  • Requires MCP-compatible AI assistants to function
  • Local setup via npx may require command-line familiarity
  • Dependence on external market data sources for accuracy

Pairs with

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