# AI Quant Trading MCP Server

> AI Quant Trading MCP Server — gzcity-ai-quant-trading. Use this tool when you need to leverage real-time stock data and technical indicators for AI-driven quantitative trading decisions. It solves problems related to data feed latency, market analysis, and trading strategy optimization by providing a streamlined interface via MCP protocol. Ideal for use cases requiring high-frequency trading, algorithmic trading, and automated market making.

Canonical page: https://skillsregistry.net/skills/gzcity-ai-quant-trading  
JSON: https://api.skillsregistry.net/v1/skills/gzcity-ai-quant-trading

## Description

Provides real-time stock data, technical indicators, and market analysis via MCP protocol to enable AI-driven quantitative trading.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yzxp8wge5y)
- **Repository:** <https://github.com/gzcity/ai-quant-trading>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gzcity-ai-quant-trading"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gzcity-ai-quant-trading` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gzcity-ai-quant-trading/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt