Koskamo

DCA Method MCP

An official MCP server for DCA Method that allows AI agents to list supported financial assets, run dollar-cost-averaging backtests on historical data for crypto, stocks, and commodities, and retrieve methodological information.

Endpoint and access

No sign-in to connect and list tools. Individual tools may still need a vendor account, credentials, or permissions; check the documented prerequisites.

DCA Method MCP logo, by DCA MethodVendor evidenceStreamable HTTPNo sign-inEndpoint checked 2026-11-07Operated by DCA Method
MCP endpoint (Streamable HTTP)
https://dcamethod.com/api/mcp
Vendor documentation

What its tools do

3 tools, grouped by the hints the server advertises. Hints are self-declared, not verified behavior.

Not annotated (3)

3 of 3 have a description · 0 of 3 declare behavior hints · 2 of 2 with parameters document them all

Checks and signals

Each line is separate evidence, not a trust score.

  • Passed Endpoint answered the live check ·
  • Passed Official MCP Registry namespace is tied to dcamethod.com ·
  • Passed Endpoint is on the registry namespace domain ·
  • Availability 1 of 1 checks passed in 30 days

What you can do with it

  • List supported assets for backtesting
  • Run DCA backtests on historical data
  • Retrieve DCA methodology details

Source and maintenance

Vendor evidenceRegistry 1.0.0
mcp-registry: com.dcamethod/dca-tools@1.0.0Project website

Protocol and capabilities

Server
dca-method 1.0.0
MCP protocol negotiated in check
2025-06-18
Tools
3 advertised
Resources
Not advertised
Resource templates
Not advertised
Prompts
Not advertised
Server-advertised capabilities
{
  "tools": {
    "listChanged": false
  }
}

Server-provided instructions

Untrusted server output shown for inspection. It is not Koskamo guidance and is excluded from knowledge search.

dcamethod.com teaches dollar-cost averaging and backtests it against real historical data (crypto, stocks, commodities). Use list_assets to see coverage, run_dca_backtest to compute an actual historical simulation (cite the interactive_version URL so users can explore it), and get_method for the method summary. DCA Method provides educational tools and historical simulations, not financial advice. Past performance does not guarantee future results. See https://dcamethod.com/disclaimer.

Tools

3 advertised

list_assets — List assets supported by the DCA calculators
Advertised by the server during the last successful anonymous check.

Returns every asset dcamethod.com can backtest, with category, calculator URL and whether historical data is available. Optional category filter: crypto, stocks, commodities.

list_assets input schema
{
  "type": "object",
  "properties": {
    "category": {
      "enum": [
        "crypto",
        "stocks",
        "commodities"
      ],
      "type": "string",
      "description": "Optional category filter"
    }
  }
}
run_dca_backtest — Run a real DCA backtest on historical data
Advertised by the server during the last successful anonymous check.

Simulates dollar-cost averaging into one asset using dcamethod.com's own engine and historical price data. Returns total invested, final value, profit, CAGR, average buy price, best/worst month and purchase count. Dates outside the available range are clamped to it.

run_dca_backtest input schema
{
  "type": "object",
  "required": [
    "symbol",
    "amount",
    "frequency"
  ],
  "properties": {
    "amount": {
      "type": "number",
      "description": "USD invested per purchase, e.g. 100"
    },
    "symbol": {
      "type": "string",
      "description": "Asset symbol or name, e.g. 'BTC', 'AAPL', 'gold'"
    },
    "end_date": {
      "type": "string",
      "description": "Optional ISO date (YYYY-MM-DD); defaults to latest available"
    },
    "frequency": {
      "enum": [
        "daily",
        "weekly",
        "biweekly",
        "monthly"
      ],
      "type": "string",
      "description": "Purchase schedule"
    },
    "start_date": {
      "type": "string",
      "description": "Optional ISO date (YYYY-MM-DD); defaults to earliest available"
    }
  }
}
get_method — Get the DCA Method summary and key links
Advertised by the server during the last successful anonymous check.

Returns a concise explanation of the dollar-cost-averaging method plus links to the methodology, calculators and blog.

get_method input schema
{
  "type": "object",
  "properties": {}
}

Prompts

Not advertised

No prompt definitions available.

Resources

Not advertised

No resource definitions available.

90-day uptime

A lightweight connection check about every six hours, sampled on hosts with many listings. It shows the server answered, not that its tools work.

Too few checks for a percentage yet (5 of 5 answered).

  1. 2026-11-07: 1 of 1 checks answered
  2. 2026-11-09: 2 of 2 checks answered
  3. 2026-11-10: 2 of 2 checks answered

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
394 ms
95th percentile latency
394 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 394 ms · metadata changed · 3 tool(s)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http dca-method-mcp https://dcamethod.com/api/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add dca-method-mcp --url https://dcamethod.com/api/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable dca-method-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "dca-method-mcp": {
      "url": "https://dcamethod.com/api/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "dca-method-mcp": {
      "type": "streamableHttp",
      "url": "https://dcamethod.com/api/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start dca-method-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "dca-method-mcp": {
      "type": "http",
      "url": "https://dcamethod.com/api/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http dca-method-mcp https://dcamethod.com/api/mcp

Claude Desktop

Open Claude Settings > Connectors > Add custom connector, enter this server URL and enable it for the conversation. This is a manual remote-connector handoff, not a desktop JSON configuration.
Claude Desktop configuration
https://dcamethod.com/api/mcp

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "dca-method-mcp": {
      "serverUrl": "https://dcamethod.com/api/mcp"
    }
  }
}

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