Connect Claude to your eToro account for portfolio management, trading, and market research.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Connect any MCP-compatible AI assistant (Claude, Cursor, and others) to your eToro account for portfolio analysis, market research, and trading.
Overview β’ Installation β’ Configuration β’ Tools
MCP server wrapping the eToro public API, exposing 35 tools for AI assistants (Claude Desktop, Cursor, Claude Code, etc.). Built for investment research and portfolio analysis β assess positions, research instruments and themes, vet popular investors for copy-trading, backtest DCA strategies against historical data. Trading is fully supported, but use care: letting an AI agent place real-money orders is genuinely risky, and you should treat it as such.
The server is built around research workflows first. The examples below show real multi-tool conversations β the assistant chains several etoro_* calls together to answer a single question. Numbers are representative; actual responses draw from live eToro data.
The assistant calls etoro_get_portfolio to pull your open positions, then etoro_get_instruments to resolve instrument IDs to names and sectors, and etoro_get_rates for live prices. It assembles a full snapshot from the raw data.
You: How is my portfolio doing? Break it down by sector and flag any trouble spots.
Assistant: I pulled your portfolio (98 open positions), resolved each instrument, and fetched live rates. Here's the picture:
- Cash: $22,265 β’ Invested: $45,782 β’ Positions: 98 open
Sector breakdown:
Sector % of invested Top holdings Technology 38% GOOG, META, MSFT, NVDA, AMZN ETFs & Index 22% VOO, QQQ, SOXX, ARGT, IEUR Crypto 15% BTC, ETH Healthcare 10% UNH Financials 8% SAP Other 7% LDO + others ![]()
Trouble spot: Your tech sleeve is 38% of invested capital and concentrated in 5 mega-caps. A single sector drawdown hits hard β consider whether the ETF overlap (QQQ, SOXX) is intentional diversification or accidental doubling-down.
Tools used: etoro_get_portfolio β etoro_get_instruments β etoro_get_rates
Search is keyword-based β etoro_search_instruments finds instruments by ticker or company name, then you chain etoro_get_instruments for full details and etoro_get_candles for price history.
You: Pull up NVDA β I want the current price and a weekly chart for the last month.
Assistant: Searching for "NVDA" and pulling candle data:
- NVIDIA Corporation (NVDA) β InstrumentID 1545
- Live rate: Bid $208.14 / Ask $208.40
- Exchange: NASDAQ β’ Type: Stock β’ Sector: Semiconductors
Weekly candles (last 5 weeks):
Week of Open High Low Close Mar 22 $172.65 $181.20 $167.01 $167.61 Mar 29 $165.26 $177.47 $162.95 $176.72 Apr 5 $176.12 $189.98 $173.66 $188.53 Apr 12 $184.15 $201.69 $183.98 $201.64 Apr 19 $199.02 $210.92 $197.23 $208.26 ![]()
NVDA rallied +27% off the March low ($162.95 β $208.26), with each weekly candle printing a higher low. Momentum is strong but the move is getting extended.
Tools used: etoro_search_instruments β etoro_get_instruments β etoro_get_rates β etoro_get_candles
Vet popular investors using real public data. The assistant calls etoro_get_user_profile for identity and stats, then etoro_get_user_performance for the full yearly return history.
You: Vet user jeppekirkbonde for a long-term copy allocation. I want the honest risk picture.
Assistant: Here's what the data says on jeppekirkbonde:
- Name: Jeppe Kirk Bonde β’ PI Level: 6 (highest tier)
- Copiers: 25,000+ β’ AUM: $200M+
- Background: MSc Finance, Copenhagen Business School
Year-by-year performance (real data):
Year Return Year Return 2013 +8.9% 2020 +36.9% 2014 β14.3% 2021 +15.9% 2015 +22.4% 2022 β19.2% 2016 +81.1% 2023 +23.9% 2017 +150.9% 2024 +21.0% 2018 β10.9% 2025 +37.7% 2019 +45.1% ![]()
Average annual return: +30.7% across 13 full years. Three down years (2014, 2018, 2022) with a max drawdown of β19.2% in the 2022 tech selloff.
What you should know:
- This is a concentrated, long-only US tech strategy. The +150.9% in 2017 and +81.1% in 2016 are outliers β don't expect those every year.
- Down years are real: 2022 cost β19.2%. If you can't stomach a 20% paper loss, this isn't the right copy.
- 25K+ copiers and $200M+ AUM means his moves have market impact in smaller names. Slippage is a factor.
Reasonable for multi-year capital if you accept the volatility. Not appropriate for money you need inside 18 months.
Tools used: etoro_get_user_profile β etoro_get_user_performance
The full watchlist lifecycle β create, populate, rename, and curate β all through natural language.
You: Create a "Semiconductor" watchlist and add NVDA, AMD, ASML, TSM, and AVGO to it.
Assistant: Done:
- Created watchlist "Semiconductor" (ID: 48291)
- Searched and resolved all 5 tickers to instrument IDs
- Added: NVDA (1545), AMD (2842), ASML (5765), TSM (3901), AVGO (6192)
Your watchlists now:
Watchlist Items Recently Invested 38 My Watchlist 34 Stocks pre-screening 69 ETFs 54 Semiconductor β new 5 People & Smart Portfolios 26 Crypto 6 Commodities 5
Tools used: etoro_create_watchlist β etoro_search_instruments β etoro_add_watchlist_items β etoro_get_watchlists
Use etoro_get_candles to pull years of OHLCV data, then simulate a dollar-cost averaging strategy β no orders placed, pure research.
You: Backtest a $500/month DCA into QQQ over the last 3 years. What would I have today?
Assistant: Pulling weekly QQQ candles (156 weeks) and simulating $500 on the first trading day of each month:
- Total invested: $18,000 (36 months Γ $500)
- Units accumulated: ~38.2 QQQ
- Current value: $25,365 (at $664.01/share)
- Gain: +$7,365 (+40.9% on invested capital)
- Approx. IRR: ~12.8%/year
Worst stretch: Nov 2022 β Mar 2023, paper drawdown of β22% on the accumulated stack. You bought through it β those discounted shares are now your biggest winners.
No orders placed. This is research only.
Tools used: etoro_get_candles β etoro_get_rates (for current price)
Combine portfolio data with the assistant's general knowledge to get a risk assessment tied to your actual holdings.
You: My portfolio is heavy on tech. Flag any risks from this week's macro calendar.
Assistant: Your tech exposure totals ~$17,400 (38% of invested capital) across GOOG, META, MSFT, NVDA, AMZN and the SOXX/QQQ ETFs. This week's watch-list:
- Wed β CPI print (core consensus +0.3% MoM). A hot number re-prices rate-cut odds β tech multiples compress first.
- Thu β Fed speakers (Williams, Waller). Hawkish language strengthens USD, pressuring mega-cap international revenue.
- Fri β NVDA earnings (after close). Binary event for your largest single-stock position.
What this means for you:
- A hot CPI + hawkish Fed combo could knock 3β5% off your tech sleeve short-term.
- NVDA earnings will drive ~8% of your portfolio's week-over-week change. Know your thesis before it prints.
Tools used: etoro_get_portfolio β etoro_get_instruments β etoro_get_rates (+ assistant's macro knowledge)
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