mcp-server — security grade SAFE, quality 69/100

Security audit verdict: SAFE · quality 69/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by QuantConnect · MCP Server · ★ 77

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About mcp-server

This repository is deprecated for now - the preferred way to use our MCP is through the one embedded in VSCode. See https://www.quantconnect.com/docs/v2/ai-assistance/mcp-server/key-concepts 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. This is the OFFICIAL implementation of QuantConnect's MCP, maintained by the QuantConnect team. We recommend using the official version to ensure security of your code and API tokens. 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: Install and open Docker Desktop. Install and open Claude Desktop. In Claude Desktop, click File Settings Developer Edit Config. Edit the file to include the following configuration: json { "mcpServers": { "quantconnect": { "command": "docker", "args": [ "run", "-i",

algorithmic-tradingfinancemcpquantitative-finance

Quick Facts

Stars77
Forks33
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score69.4441133292532/100
Open Issues15
Last Updated2026-05-07
Created2025-06-24
Platformsmcp, python
Est. Tokens~32k

Compatible Skills

These tools work well together with mcp-server for enhanced workflows:

  • ai-hedge-fund-crypto — semantic(0.36)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • metatrader-mcp-server — semantic(0.48)+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • crypto-trading-arena — semantic(0.27)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)

mcp-server alternative? Top 6 similar tools

Looking for a mcp-server alternative? If you're comparing mcp-server with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • dartlab by eddmpython · ⭐ 222

    Korean DART + SEC EDGAR filings as structured Python data for company analysis

  • quantflow by quantmind · ⭐ 52

    Quantitative finance and derivative pricing

  • sec-edgar-mcp by stefanoamorelli · ⭐ 362

    A SEC EDGAR MCP (Model Context Protocol) Server

  • TradingAgents-MCPmode by guangxiangdebizi · ⭐ 337

    TradingAgents-MCPmode 是一个创新的多智能体交易分析系统,集成了 Model Context Protocol (MCP) 工具,实现了智能化的股票分析和交易决策流程。系统通过多个专业化智能体的协作,

  • mcp-trader by wshobson · ⭐ 273

    A Model Context Protocol (MCP) server for stock traders

  • yfinance-mcp by narumiruna · ⭐ 196

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Frequently Asked Questions

What is mcp-server?

mcp-server is Official Python MCP server for local interactions with the QuantConnect API. It is categorized as a MCP Server with 77 GitHub stars.

What programming language is mcp-server written in?

mcp-server is primarily written in Python. It covers topics such as algorithmic-trading, finance, mcp.

How do I install or use mcp-server?

You can find installation instructions and usage details in the mcp-server GitHub repository at github.com/QuantConnect/mcp-server. The project has 77 stars and 33 forks, indicating an active community.

What license does mcp-server use?

mcp-server is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to mcp-server?

The top alternatives to mcp-server on Agent Skills Hub include dartlab, quantflow, sec-edgar-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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