INDIVIDUAL MCP TOOL

list_models

List the user's trained models with pre-computed train/test stats.

quantifyme.ainone authenticationAvailability not checked

Input schema

{}

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.

CONNECT WITH APPROVAL

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

Codex

~/.codex/config.toml

[mcp_servers.quantifyme]
url = "https://mcp.quantifyme.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "quantifyme": {
      "type": "http",
      "url": "https://mcp.quantifyme.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: quantifyme
Remote MCP URL: https://mcp.quantifyme.ai/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": {
    "quantifyme": {
      "url": "https://mcp.quantifyme.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "quantifyme": {
      "type": "http",
      "url": "https://mcp.quantifyme.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "quantifyme",
  "transport": "streamable-http",
  "url": "https://mcp.quantifyme.ai/mcp"
}

MCP Inspector

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

one_shot — End-to-end deploy: generate strategy → train → deploy live.
get_deploy_result — Wait for a `one_shot` deploy to finish and return its final result.
link_account — Link this chat to the user's existing QuantifyMe account.
list_deployed — List the user's currently deployed (live) models.
top_up — Fund your QuantifyMe credits with crypto (USDC) — no signup, no human, no card.
generate_strategy — Generate Python strategy code (no training/deploy).
browse_community — Browse the public community leaderboard of published strategies, ranked by a composite performance score (best first).
find_strategy — Find an existing PROVEN strategy that matches a plain-English idea, so you can offer the user a choice — deploy the existing one, or generate a fresh custom one.