QuantConnect/mcp-server
Apache-2.0API key required🐍 ☁️ – A Dockerized Python MCP server that bridges your local AI (e.g., Claude Desktop, etc) with the QuantConnect API—empowering you to create projects, backtest strategies, manage collaborators, an
Install
npx -y @modelcontextprotocol/inspectorRequired environment variables
QUANTCONNECT_API_TOKENSet in your MCP configclaude_desktop_config.json
{
"mcpServers": {
"quantconnect-mcp-server": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/inspector"
],
"env": {
"QUANTCONNECT_API_TOKEN": "<YOUR_QUANTCONNECT_API_TOKEN>"
}
}
}
}Add this to your Claude Desktop config file. Find it at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS.
What this does
QuantConnect/mcp-server exposes a set of tools to Claude over the Model Context Protocol. After you add it to claude_desktop_config.json (snippet above) and restart Claude Desktop, those tools become callable inside any conversation. That makes it useful when you want Claude to reach into your developer tooling without copy-pasting context every turn.
Requirements
This server needs the following environment variables to be set before it can run:
QUANTCONNECT_API_TOKEN
Set these via the env object in your MCP config (see claude_desktop_config.json snippet above).
Common use cases
- •Drive your build, test, lint, or deploy commands from a chat session
- •Pull CI status, commit metadata, or PR review state into context
- •Inspect or scaffold project boilerplate without leaving Claude
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