mcpField
S
Stooq

Stooq

Remote
pipeworx.ioFinance0Updated 21w ago

About Stooq

Stooq is a market-quotes MCP server within the Pipeworx gateway. The README identifies its market-quote purpose but does not describe specific tools or supported data fields.

Key features

  1. 01Market-quote MCP server

Use cases

  1. 01Accessing Stooq market quotes through MCP
  2. 02Routing Stooq data questions through ask_pipeworx

MCP support

Connects to MCP clients through a scoped Stooq gateway endpoint or the full Pipeworx gateway. The gateway supports ask_pipeworx for routing natural-language questions.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://gateway.pipeworx.io/stooq/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

mcp-stooq

Stooq market-quotes MCP.

Part of Pipeworx — an MCP gateway connecting AI agents to 697+ live data sources.

Tools

ToolDescription

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "stooq": {
      "url": "https://gateway.pipeworx.io/stooq/mcp"
    }
  }
}

Or connect to the full Pipeworx gateway for access to all 697+ data sources:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English:

ask_pipeworx({ question: "your question about Stooq data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.