# QuantConnect

> Use this tool when you need to streamline the development and deployment of trading algorithms, leveraging 40+ tools that cover the complete lifecycle from project management to live trading. It provides comprehensive access to the QuantConnect platform, enabling tasks such as backtesting, optimization, and AI-powered code assistance through a Python interface. Ideal for quantitative developers and AI agents, it simplifies the workflow without requiring direct API knowledge.

Canonical page: https://skillsregistry.net/skills/quantconnect  
JSON: https://api.skillsregistry.net/v1/skills/quantconnect

## Description

QuantConnect MCP server that provides AI assistants with comprehensive access to the QuantConnect algorithmic trading platform through 40+ tools covering the complete development lifecycle. Built with Python using FastMCP and the QuantConnect API, it enables project management, file operations, compilation, backtesting, optimization, live trading deployment, and AI-powered code assistance including PEP8 conversion and error enhancement. The implementation includes robust testing with both Python and C# algorithm examples, Docker deployment support, and integration with organization workspaces for local file access. Designed for quantitative developers and AI agents building, testing, and deploying trading algorithms, it streamlines the entire workflow from initial algorithm development through live trading deployment without requiring direct API knowledge.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/quantconnect)
- **Repository:** <https://github.com/quantconnect/mcp-server>

## 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": "quantconnect"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/quantconnect` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/quantconnect/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