# QuantConnectMCP

> QuantConnectMCP — thefractalyst-quantconnectmcp. Use this tool when you need to access QuantConnect/Lean documentation offline with advanced search and code validation capabilities. It solves problems of limited internet connectivity and inefficient coding by providing semantic search, code repair, and scaffolding tools. Ideal for AI coding assistants, it takes in queries and code snippets as input and outputs relevant documentation and validated code.

Canonical page: https://skillsregistry.net/skills/thefractalyst-quantconnectmcp  
JSON: https://api.skillsregistry.net/v1/skills/thefractalyst-quantconnectmcp

## Description

MCP server providing 100% offline access to QuantConnect/Lean documentation with semantic search, code validation, repair, and scaffolding tools for AI coding assistants.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q84seza833)
- **Repository:** <https://github.com/TheFractalyst/QuantConnectMCP>

## 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": "thefractalyst-quantconnectmcp"
    }
  }
}
```

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