Quantconnect MCP
Q

Quantconnect MCP

The QuantConnect MCP Server is a localized model context protocol server designed for quantitative trading, providing complete integration with the QuantConnect platform, including research environment, statistical analysis, portfolio optimization, etc. It supports quantitative strategy development through natural - language interaction with an AI assistant.
2.5 points
5.1K

What is the QuantConnect MCP Server?

The QuantConnect MCP Server is a production-level model context protocol server that allows users to deploy locally and integrate QuantConnect's research environment, statistical analysis, and portfolio optimization features. It supports creating, reading, updating, and managing QuantConnect projects, as well as executing a complete backtesting process.

How to use the QuantConnect MCP Server?

After a simple command-line installation, just set up your QuantConnect API credentials, and you can start the server and interact with the AI assistant in natural language. Users can complete the entire process from data acquisition to backtesting analysis through natural language instructions.

Applicable Scenarios

This server is suitable for scenarios such as quantitative research, strategy development, portfolio optimization, and market data analysis, especially for users who need to process financial data and perform complex analyses.

Main Features

Project Lifecycle Management
Supports creating, reading, updating, and compiling QuantConnect projects and files.
End - to - End Backtesting
Can compile projects, create backtests, read detailed results, and analyze charts, orders, and insight data.
Interactive Research
Integrates QuantBook to enable dynamic financial analysis, including historical and alternative data acquisition.
Advanced Analysis
Provides functions such as principal component analysis (PCA), Engle - Granger cointegration test, mean - reversion analysis, and correlation research.
Portfolio Optimization
Supports sparse optimization, Huber downside risk minimization, calculates performance, and benchmarks strategies.
Universe Selection
Dynamically filters assets, analyzes ETF compositions, and selects assets based on correlation.
Enterprise - Level Security
Connects to QuantConnect through API integration with SHA - 256 authentication to ensure security.
High - Performance Core
Adopts an asynchronous design to improve concurrent data processing capabilities and response speed.
AI - Native Interface
Designed to interact seamlessly with AI clients (such as Claude) and support natural language operations.
Advantages
Supports the complete process from data acquisition to backtesting analysis.
Provides a rich set of statistical analysis and portfolio optimization tools.
Easy to integrate with AI assistants for natural language interaction.
Adopts an asynchronous design to improve performance and response speed.
Supports local deployment to ensure data security.
Limitations
Requires QuantConnect API credentials to run.
May require a certain learning curve for non - technical users.
Some advanced features may require more computing resources.

How to Use

Install the Server
Install the QuantConnect MCP Server using uvx or pip.
Configure Credentials
Set up your QuantConnect user ID and API token.
Start the Server
Run the server to start interacting.
Interact in Natural Language
Interact with the AI assistant through natural language instructions, such as querying data, performing analysis, or creating backtests.

Usage Examples

Build a Global Equity Long - Short Portfolio
Extract the constituent stocks of QQQ, SPY, and EEM as of December 31, 2024, calculate the Fama - French five - factor and quality minus junk factor loadings, perform hierarchical sorting, and apply HRP for position allocation.
Test and Optimize a Pairs Trading Strategy
Screen stocks in the US consumer goods industry, analyze their cointegration relationships, calculate mean - reversion characteristics, and simulate a Kalman filter to adjust position ratios.
Automate Project, Backtesting, and Hyperparameter Scanning
Create a project, add files, trigger a hyperparameter - scanning backtest, and sort the best configurations based on the information ratio and maximum drawdown.

Frequently Asked Questions

What prerequisites do I need to use the QuantConnect MCP Server?
How can I verify if my API credentials are valid?
What transmission methods does the server support?
How can I install the server without using the terminal?
How is the security of the server ensured?

Related Resources

QuantConnect MCP GitHub Repository
Source code and documentation for QuantConnect MCP.
QuantConnect Official Documentation
Comprehensive guide and API reference for the QuantConnect platform.
QuantConnect MCP Quick - Start Tutorial
A tutorial to help you quickly get started with the QuantConnect MCP Server.
QuantConnect MCP API Reference
Documentation for all API interfaces of the QuantConnect MCP Server.
QuantConnect MCP Video Tutorials
Video tutorials and demonstrations about QuantConnect MCP.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
7.6K
5 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
7.8K
5 points
C
Contracts Wizard
OpenZeppelin Contracts Wizard is an interactive smart contract building tool that allows users to generate contract code based on OpenZeppelin components by selecting contract types, parameters, and functions. It supports multiple programming languages and provides API and embedding functions.
TypeScript
9.1K
4 points
A
Apple Health MCP
An MCP server for querying Apple Health data via SQL, implemented based on DuckDB for efficient analysis, supporting natural language queries and automatic report generation.
TypeScript
10.7K
4.5 points
M
MCP Server Airbnb
Certified
MCP service for Airbnb listing search and details query
TypeScript
12.5K
4 points
A
Awesome Web3 MCP Servers
This is a curated list of Web3 Model Context Protocol (MCP) servers, covering multiple categories such as chain interaction, trading, DeFi, market data, tools, and social. MCP is an open protocol that standardizes how applications provide context to LLMs, similar to the USB - C port for AI applications. DeMCP is the first decentralized MCP network, focusing on providing self - developed and open - source MCP services for agents, supporting cryptocurrency payments, and redefining the security and reliability of MCP by combining TEE and blockchain registries.
14.7K
4.5 points
F
Firecrawl MCP Server
The Firecrawl MCP Server is a Model Context Protocol server integrating Firecrawl's web - scraping capabilities, providing rich web - scraping, searching, and content - extraction functions.
TypeScript
63.7K
5 points
R
Rednote MCP
RedNote MCP is a tool that provides services for accessing Xiaohongshu content. It supports functions such as authentication management, keyword - based note search, and command - line initialization, and can access note content via URL.
TypeScript
12.4K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
16.6K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.5K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
44.7K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
20.2K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.3K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
30.2K
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
62.4K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase