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quantconnect-mcp-jwt

modelscope·@i-dream-of-ai/quantconnect-mcp-jwt

cloud-platforms0下载LocalModelScope

简介

暂无描述。

MCP Server 详情

来自 ModelScope 索引
<img width="1575" height="280" alt="github-header" src="https://github.com/user-attachments/assets/6cec1ef7-0340-416e-ab81-c73fbc8ff847" />

QuantConnect MCP Server

The QuantConnect MCP Server is a bridge for AIs (such as Claude and OpenAI o3 Pro) to interact with our cloud platform. When equipped with our MCP, the AI can perform tasks on your behalf through our API such as updating projects, writing strategies, backtesting, and deploying strategies to production live-trading.

Our implementation is tested and dockerized for easy cross-platform deployment.

Getting Started

To connect local MCP clients (like Claude Desktop) to the QC MCP Server, follow these steps:

  1. Install and open Docker Desktop.
  2. Install and open Claude Desktop.
  3. In Claude Desktop, click File > Settings > Developer > Edit Config.
  4. Edit the claude_desktop_config.json file to include the following quantconnect configuration:
{
  "mcpServers": {
    "quantconnect": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e", "QUANTCONNECT_USER_ID",
        "-e", "QUANTCONNECT_API_TOKEN",
        "-e", "AGENT_NAME",
        "--platform", "<your_platform>",
        "--name",
        "quantconnect-mcp-server",
        "quantconnect/mcp-server"
      ],
      "env": {
        "QUANTCONNECT_USER_ID": "<your_user_id>",
        "QUANTCONNECT_API_TOKEN": "<your_api_token>",
        "AGENT_NAME": "MCP Server"
      }
    }
  }
}

To get your user Id and API token, see Request API Token.

Our MCP server is multi-platform capable. The options are linux/amd64 for Intel/AMD chips and linux/arm64 for ARM chips (for example, Apple's M-series chips).

If you simultaneously run multiple agents, set a unique value for the AGENT_NAME environment variable for each agent to keep record of the request source.

  1. Restart Claude Desktop.

    Claude Desktop automatically pulls our MCP server from Docker Hub and connects to it.

To view all the MCP clients and the features they support, see the Feature Support Matrix in the MCP documentation.

To keep the Docker image up-to-date, pull the latest MCP server from Docker Hub in the terminal.

docker pull quantconnect/mcp-server

If you have an ARM chip, add the --platform linux/arm64 option.

Available Tools (60)

Tools provided by this ServerShort Description
read_accountRead the organization account status.
create_projectCreate a new project in your default organization.
read_projectList the details of a project.
list_projectsList the details of all projects.
update_projectUpdate a project's name or description.
delete_projectDelete a project.
create_project_collaboratorAdd a collaborator to a project.
read_project_collaboratorsList all collaborators on a project.
update_project_collaboratorUpdate collaborator information in a project.
delete_project_collaboratorRemove a collaborator from a project.
read_project_nodesRead the available and selected nodes of a project.
update_project_nodesUpdate the active state of the given nodes to true.
create_compileAsynchronously create a compile job request for a project.
read_compileRead a compile packet job result.
create_fileAdd a file to a given project.
read_fileRead a file from a project, or all files in the project if no file name is provided.
update_file_nameUpdate the name of a file.
update_file_contentsUpdate the contents of a file.
delete_fileDelete a file in a project.
create_backtestCreate a new backtest request and get the backtest Id.
read_backtestRead the results of a backtest.
list_backtestsList all the backtests for the project.
read_backtest_chartRead a chart from a backtest.
read_backtest_ordersRead out the orders of a backtest.
read_backtest_insightsRead out the insights of a backtest.
update_backtestUpdate the name or note of a backtest.
delete_backtestDelete a backtest from a project.
estimate_optimization_timeEstimate the execution time of an optimization with the specified parameters.
create_optimizationCreate an optimization with the specified parameters.
read_optimizationRead an optimization.
list_optimizationsList all the optimizations for a project.
update_optimizationUpdate the name of an optimization.
abort_optimizationAbort an optimization.
delete_optimizationDelete an optimization.
authorize_connectionAuthorize an external connection with a live brokerage or data provider.
create_live_algorithmCreate a live algorithm.
read_live_algorithmRead details of a live algorithm.
list_live_algorithmsList all your past and current live trading deployments.
read_live_chartRead a chart from a live algorithm.
read_live_logsGet the logs of a live algorithm.
read_live_portfolioRead out the portfolio state of a live algorithm.
read_live_ordersRead out the orders of a live algorithm.
read_live_insightsRead out the insights of a live algorithm.
stop_live_algorithmStop a live algorithm.
liquidate_live_algorithmLiquidate and stop a live algorithm.
create_live_commandSend a command to a live trading algorithm.
broadcast_live_commandBroadcast a live command to all live algorithms in an organization.
upload_objectUpload files to the Object Store.
read_object_propertiesGet Object Store properties of a specific organization and key.
read_object_store_file_job_id…

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自动安装

点击按钮会唤起 PolarBear 客户端,并把当前 MCP Server 的 Markdown 详情文档地址传给客户端。

/api/mcps/i-dream-of-ai-quantconnect-mcp-jwt/markdown
打开 PolarBear 安装查看 Markdown 文档

手动安装

在 PolarBear 或其他支持 MCP 的客户端中,新建 MCP Server,并参考下方来源或安装提示配置。

To get your user Id and API token, see [Request API Token](https://www.quantconnect.com/docs/v2/cloud-platform/community/profile#09-Request-API-Token). Our MCP server is multi-platform capable. The options are `linux/amd64` for Intel/AMD chips and `linux/arm64` for ARM chips (for example, Apple's M-series chips). If you simultaneously run multiple agents, set a unique value for the `AGENT_NAME` environment variable for each agent to keep record of the request source. 5. Restart Claude Desktop. Claude Desktop automatically pulls our MCP server from Docker Hub and connects to it. To view all the MCP clients and the features they support, see the [Feature Support Matrix](https://modelcontextprotocol.io/clients#feature-support-matrix) in the MCP documentation. To keep the Docker image up-to-date, pull the latest MCP server from Docker Hub in the terminal.

基本信息

分类
金融 / cloud-platforms / agent-orchestration
运行方式
No
许可证
Apache License 2.0
详情文件
i-dream-of-ai-quantconnect-mcp-jwt.md