INDIVIDUAL MCP TOOL

list_models

List available Store API models with prices in rubles per 1M tokens.

store-api.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://store-api.com/mcp

No auth detected

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

{}

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.store-api]
url = "https://store-api.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "store-api": {
      "type": "http",
      "url": "https://store-api.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: store-api
Remote MCP URL: https://store-api.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": {
    "store-api": {
      "url": "https://store-api.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "store-api": {
      "type": "http",
      "url": "https://store-api.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "store-api",
  "transport": "streamable-http",
  "url": "https://store-api.com/mcp"
}

MCP Inspector

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

ask_model — Ask any model from the Store API catalog — GPT, Claude, Gemini, DeepSeek, Grok, Qwen, GLM — and get the answer as text.
generate_image — Generate an image from a text prompt and return a link to it.
get_balance — Remaining balance on your Store API key, in rubles.
get_usage — Spending history for this key: how much went to each model over the last N days, with request counts.
compare_models — Ask 2 to 4 models the same question at once and get their answers side by side with token counts.