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QuantConnect vs tradingview

QuantConnect is an MCP server published by QuantConnect. Marketplaces we read that list it: 1 (Docker MCP Catalog). tradingview is a plugin bundle for AI coding tools published by Esonhugh. Marketplaces we read that list it: 1 (Community GitHub marketplaces). As of our marketplace pass on 2026-10-21. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.

Where each is published

Where each is published
MarketplaceQuantConnecttradingview
Docker MCP Catalog Listed
Version: sha256:f96cc99e83a0
Forks (GitHub): 32
Pulls (Docker Hub): 36 258
Stars (Docker Hub): 1
Stars (GitHub): 79
Not marked · First seen
Not listed
Community marketplace esonhugh/marketplace Not listed Listed
Version: 0.4.2
Forks (GitHub): 0
Stars (GitHub): 15
Not marked · First seen

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

QuantConnect vs tradingview
FactQuantConnecttradingview
Marketplaces that list it11
Stars (GitHub) (differs)79 (better)15 (worse)
Pulls (Docker Hub) (differs)36 258No figure on Docker Hub
Forks (GitHub) (differs)32 (better)0 (worse)
Last releaseNot publishedNot published
Where it runs (differs)On your machine (mcp/quantconnect)Installs as a plugin bundle
Transport (differs)stdioNot stated
Tools it declares (differs)64Not published
Environment variables it asks for (differs)3, secrets among them: 0Not published
Hooks it runs (differs)Not published1
Parts of the bundle (differs)Not a bundle22
Licence (differs)Apache-2.0Not stated
Repository (differs)github.com/quantconnect/mcp-servergithub.com/esonhugh/tradingview
Changes in the last 7 days (differs)02
First seen (differs)2026-10-112026-10-17

Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.

What each says it does

QuantConnect

In its own words, on Docker MCP Catalog:

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.

tradingview

In its own words, on Community GitHub marketplaces:

TradingView data access with persistent headless Chrome — K-line/candlestick history (1m to monthly), built-in technical indicators (MACD, RSI, KDJ, Bollinger Bands, EMA/SMA), spot quotes, options chains, screener, news, watchlists, alerts, chart state, and screenshots.

How to run each

QuantConnect As a local MCP server: Docker image

Claude Code
claude mcp add --transport stdio quantconnect -- docker run -i --rm mcp/quantconnect

tradingview As a Claude Code plugin

Claude Code
/plugin marketplace add esonhugh/marketplace
/plugin install tradingview@Esonhugh-Marketplace

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Tools each declares

The marketplaces of tradingview publish no list of tools, so we do not compare tools.

Settings each asks for

The marketplaces of tradingview publish no settings it asks for, so we do not compare settings.

What it can do: QuantConnect · What it can do: tradingview · Compare two other plugins

Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built