# QuantConnect MCP Server

> Use this tool when you need to automate trading operations or integrate AI-driven trading strategies with a cloud-based platform. It solves problems related to algorithmic trading, backtesting, and strategy deployment by providing a comprehensive API interface for creating, managing, and executing trading strategies. The QuantConnect MCP Server takes in trading strategy inputs and outputs real-time trading operations, making it ideal for use cases that require automated trading and portfolio management.

Canonical page: https://skillsregistry.net/skills/i-dream-of-ai-quantconnect-mcp-jwt  
JSON: https://api.skillsregistry.net/v1/skills/i-dream-of-ai-quantconnect-mcp-jwt

## Description

Enables AI assistants to interact with the QuantConnect cloud platform for algorithmic trading. Supports creating and managing trading strategies, running backtests, deploying live algorithms, and performing comprehensive trading operations through the QuantConnect API.

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x053a5d71m)
- **Repository:** <https://github.com/i-dream-of-ai/quantconnect-mcp-jwt>

## 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": "i-dream-of-ai-quantconnect-mcp-jwt"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/i-dream-of-ai-quantconnect-mcp-jwt` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/i-dream-of-ai-quantconnect-mcp-jwt/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