← btcdcaengine.com

INDIVIDUAL MCP TOOL

run_dca

Simulate one dollar-cost-averaging plan against real historical closes.

btcdcaengine.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://btcdcaengine.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for run_dca and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

btcdcaengine.com

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.btc-dca-engine]
url = "https://btcdcaengine.com/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "btc-dca-engine": {
      "type": "http",
      "url": "https://btcdcaengine.com/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: btc-dca-engine
Remote MCP URL: https://btcdcaengine.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "btc-dca-engine": {
      "url": "https://btcdcaengine.com/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "btc-dca-engine": {
      "type": "http",
      "url": "https://btcdcaengine.com/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "btc-dca-engine",
  "transport": "streamable-http",
  "url": "https://btcdcaengine.com/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • list_assets — Assets this endpoint can simulate, with the date each series starts and ends.
  • data_status — The vintage of the loaded price data and how often it refreshes.
  • compare_plans — Run up to 5 plans over the same data and rank them by final value (2 without a signed-in Pro account or a Pro API key).