https://www.quantconnect.com/docs/v2/ai-assistance/mcp-server/key-concepts을 참조하십시오.

QuantConnect MCP 서버

QuantConnect MCP Server는 클라우드 플랫폼과 상호 작용하기 위해 AI (클래드 및 OpenAI o3 Pro와 같은)의 브리지입니다. MCP를 장착할 때 AI는 프로젝트, 쓰기 전략, 백업 및 배포 전략과 같은 API를 통해 귀사의 업무를 수행 할 수 있습니다.

QuantConnect 팀에 의해 유지 QuantConnect의 MCP의 공식 구현입니다. 코드와 API 토큰의 보안을 보장하기 위해 공식 버전을 사용하는 것이 좋습니다. 우리의 구현은 쉽게 크로스 플랫폼 배포를 위해 테스트 및 도킹됩니다.

시작하기

로컬 MCP 클라이언트 (클래드 데스크톱과 같은) QC MCP 서버에 연결하려면 다음 단계를 따르십시오.

1. Docker 데스크톱 설치 및 오픈.
2. Claude 데스크탑 설치 및 오픈.
3. Claude Desktop에서, click File > Settings > Developer > Edit Config를 클릭합니다.
4. 다음을 포함하는 claude_desktop_config.json 파일 편집 quantconnect 구성:

사용자 Id 및 API 토큰을 얻으려면 요청 API 토큰을 참조하십시오.

MCP 서버는 멀티 플랫폼입니다.

QuantConnect Remote MCP Server

The QuantConnect Remote MCP Server is the preferred way to connect AI assistants such as Claude to the QuantConnect platform.

There is nothing to install, build, or run. Point your MCP client at the hosted endpoint, authorize it against your QuantConnect organization, and the tools are available immediately.

• Documentation: https://www.quantconnect.com/docs/v2/ai-assistance/mcp-server/key-concepts
• Remote MCP endpoint: https://www.quantconnect.com/api/v2/mcp

Note: The remote MCP server requires a paid agent node (A1-1, A4-8, or A16-32) in your organization. The free A-MICRO node cannot connect. See Agent Nodes and Add Nodes.

Quick Start with Claude

The remote server speaks the standard MCP HTTP transport, so any MCP-capable Claude surface can use it. Pick the one you use.

Claude Desktop and claude.ai

1. Open Settings > Connectors (on the desktop app, File > Settings > Connectors).
2. Click Add custom connector, give it a name such as QuantConnect, and enter the server URL:

   https://www.quantconnect.com/api/v2/mcp
   

3. Click Connect. Your default browser opens.
4. Click Continue connecting, select your QuantConnect organization in the Authorize MCP Server form, and click Authorize.
5. Start a new chat. The QuantConnect tools are listed under the connector and can be enabled per conversation.

Claude Code (terminal)

Register the server once from any terminal:

claude mcp add --transport http quantconnect https://www.quantconnect.com/api/v2/mcp

Then start Claude Code, run /mcp, select quantconnect, and follow the browser authorization flow (Continue connecting > Authorize). Running /mcp again should show the server as connected with its tools listed.

Claude Code in Local Platform (VS Code extension)

1. Install the Claude Code extension in VS Code.
2. Create or open a QuantConnect project in Local Platform.
3. Open the Claude Code panel from the top navigation bar.
4. Enter /mcp to confirm the QuantConnect MCP Server is connected.

Try it

Once connected, send a simple prompt to verify the tools are working:

Read the open project.

Claude should call the read_open_project tool and describe the project. From there you can ask it to create projects, write and edit strategy files, run backtests, optimize parameters, or deploy to paper trading, all in plain language. For example:

Create a new Python project that buys SPY on the first trading day of each month,
backtest it from 2020 to today, and summarize the results.