QuantConnect

The QuantConnect MCP Server acts as a bridge that lets AI clients interact with your cloud platform to manage projects, write and backtest strategies, and deploy live algorithms. With the MCP, you can run powerful automation from your preferred AI assistant while keeping control over what actions are performed on your behalf.

How to use

You connect an MCP client to the QuantConnect MCP Server by starting the server container locally and pointing your AI client at it. The server exposes a set of operations you can invoke from your MCP client, such as creating projects, writing files, running backtests, and launching live trading sessions. Use an MCP client to issue commands that map to these operations and monitor results through the client’s interface.

How to install

Prerequisites you need before starting: Docker Desktop installed on your machine and your MCP client (for example, Claude Desktop) ready to configure.

{
  "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"
      }
    }
  }
}

Additional notes

This MCP server is designed to be multi-platform. If you are running on an ARM chip (for example, Apple Silicon), add the platform option to the docker run command as shown. You can run multiple MCP agents by giving each a unique AGENT_NAME so you can track requests from different sources.

To fetch the latest server image, pull from Docker Hub before starting your client configuration. If you are using ARM hardware, include the platform flag as needed.

Available tools

read_account

Read the organization account status.

create_project

Create a new project in your default organization.

read_project

List the details of a project.

list_projects

List the details of all projects.

update_project

Update a project's name or description.

delete_project

Delete a project.

create_project_collaborator

Add a collaborator to a project.

read_project_collaborators

List all collaborators on a project.

update_project_collaborator

Update collaborator information in a project.

delete_project_collaborator

Remove a collaborator from a project.

read_project_nodes

Read the available and selected nodes of a project.

update_project_nodes

Update the active state of the given nodes to true.

create_compile

Asynchronously create a compile job for a project.

read_compile

Read a compile packet job result.

create_file

Add a file to a given project.

read_file

Read a file from a project, or all files in the project if no file name is provided.

update_file_name

Update the name of a file.

update_file_contents

Update the contents of a file.

delete_file

Delete a file in a project.

create_backtest

Create a new backtest request and get the backtest Id.

read_backtest

Read the results of a backtest.

list_backtests

List all the backtests for the project.

read_backtest_chart

Read a chart from a backtest.

read_backtest_orders

Read out the orders of a backtest.

read_backtest_insights

Read out the insights of a backtest.

update_backtest

Update the name or note of a backtest.

delete_backtest

Delete a backtest from a project.

estimate_optimization_time

Estimate the execution time of an optimization with the specified parameters.

create_optimization

Create an optimization with the specified parameters.

read_optimization

Read an optimization.

list_optimizations

List all the optimizations for a project.

update_optimization

Update the name of an optimization.

abort_optimization

Abort an optimization.

delete_optimization

Delete an optimization.

authorize_connection

Authorize an external connection with a live brokerage or data provider.

create_live_algorithm

Create a live algorithm.

read_live_algorithm

Read details of a live algorithm.

list_live_algorithms

List all your past and current live trading deployments.

read_live_chart

Read a chart from a live algorithm.

read_live_logs

Get the logs of a live algorithm.

read_live_portfolio

Read out the portfolio state of a live algorithm.

read_live_orders

Read out the orders of a live algorithm.

read_live_insights

Read out the insights of a live algorithm.

stop_live_algorithm

Stop a live algorithm.

liquidate_live_algorithm

Liquidate and stop a live algorithm.

create_live_command

Send a command to a live trading algorithm.

broadcast_live_command

Broadcast a live command to all live algorithms in an organization.

upload_object

Upload files to the Object Store.

read_object_properties

Get Object Store properties of a specific organization and key.

read_object_store_file_job_id

Create a job to download files from the Object Store and then read the job Id.

read_object_store_file_download_url

Get the URL for downloading files from the Object Store.

list_object_store_files

List the Object Store files under a specific directory in an organization.

delete_object

Delete the Object Store file of a specific organization and key.

read_lean_versions

Returns a list of LEAN versions with basic information for each version.

check_initialization_errors

Run a backtest for a few seconds to initialize the algorithm and get initialization errors if any.

complete_code

Show the code completion for a specific text input.

enhance_error_message

Show additional context and suggestions for error messages.

update_code_to_pep8

Update Python code to follow PEP8 style.

check_syntax

Check the syntax of a code.

search_quantconnect

Search for content in QuantConnect.