Developer Tools stdio

QuantDinger

Name: QuantDinger
Author: brokermr810

Created by brokermr810

Offers a self-hosted AI quantitative trading platform for crypto, stocks, and forex, integrating AI-assisted research, Python strategies, backtesting, and live execution.

How to Connect & Install

Select your client or environment below to copy the verified, ready-to-run installation configuration.

1-line autonomous agent setup instruction. Paste into Claude Code, Codex CLI, or Cursor Agent:

Fetch and configure Model Context Protocol (MCP) server QuantDinger from https://www.fastmcp.dev/server/quantdinger

Agents automatically discover, install, and execute the server spec without manual token setup.

Connect via direct Stateless MCP v2 / Streamable HTTP endpoint or JSON-RPC:

https://github.com/brokermr810/quantdinger

Stateless edge endpoint compliant with MCP 2024-11-05 and v2 draft protocol specs.

Includes server instructions and tool definitions for Claude:

claude mcp add quantdinger -- uvx quantdinger

Run in terminal to register server in current project or pass --scope user for global availability.

Configures server instructions and tools for OpenAI Codex & ChatGPT Desktop:

[mcp_servers.quantdinger]
command = "uvx"
args = ["quantdinger"]

Applies to ChatGPT Desktop app, Codex CLI, and IDE extension across your Codex host.

Add to Cursor project settings (.cursor/mcp.json) or Cursor Settings > Features > MCP:

{
  "mcpServers": {
    "quantdinger": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "quantdinger"
      ]
    }
  }
}

Commit to version control to allow teammates to connect immediately.

Install as an autonomous Agent Skill using the standard skills CLI:

npx skills add https://github.com/brokermr810/quantdinger

Standard agent skill installer compatible with Claude Code, Cursor, and agy harnesses.

Server Guidance & Instructions OpenAI & Claude Spec Compliant

QuantDinger: Offers a self-hosted AI quantitative trading platform for crypto, stocks, and forex, integrating AI-assisted research, Python strategies, backtesting, and live execution. Key capabilities: AI-assisted market research with multi-LLM analysis and natural language to code generation.; Native Python strategy development using IndicatorStrategy and ScriptStrategy, with professional chart UI..

Codex and Claude read this instruction prompt during initialization to orchestrate cross-tool workflows and rate limits.

Top Core Functions

01 Execute automated trading strategies live

02 Perform server side strategy backtesting

03 Generate code from natural language