IL Bank MCP
Community
Author: gleknerFinance assistant that brings Israeli bank data directly to any AI assistant. Combines a headless scraper powered by israeli-bank-scrapers with an MCP server, enabling LLMs to analyze transactions, track spending patterns, detect recurring charges, and provide financial insights. Supports most Israeli banks and credit cards, stores data locally in SQLite, and runs via Docker Compose for easy deployment.
Agent Configuration
Clone from GitHub to install
git clone https://github.com/glekner/il-bank-mcp
cd il-bank-mcp
docker compose build.mcp.json
{
"mcpServers": {
"il-bank": {
"command": "docker",
"args": [
"compose",
"run",
"--rm",
"-i",
"mcp-server"
],
"cwd": "/path/to/il-bank-mcp"
}
}
}Features
- Local SQLite storage for full privacy
- Support for most Israeli banks and credit card companies
- On-demand data synchronization
- Spending pattern analysis and categorization
- Fully offline capable
- Runs via Docker Compose
Tools(16)
get_transactionsRetrieves individual transactions with full details like date, amount, merchant, and category
get_financial_summaryAggregated income, expenses, and trends for burn rate analysis and financial overviews
search_transactionsPowerful transaction search with multiple filters by description, amount range, or category
get_monthly_credit_summaryComprehensive breakdown of credit card usage for any month with total charges and average transaction size
get_recurring_chargesIdentifies recurring charges like subscriptions, gym memberships, and other repeated payments
analyze_merchant_spendingDeep-dive analysis for specific merchants showing spending patterns, average amounts, and unusual charges
refresh_all_dataTriggers a fresh scrape of all connected bank and credit card accounts
get_scrape_statusCheck when financial data was last updated and if any scraping is in progress
get_accountsLists all connected bank accounts and credit cards with balances
get_account_balance_historyTracks how an account balance changes over time for cash flow analysis
get_metadataReturns earliest/latest transaction dates and total count
get_spending_by_merchantRanks all merchants by total spending to identify where money goes
get_category_comparisonCompares spending between categories across different time periods
get_available_categoriesRetrieves all unique transaction categories from actual data
analyze_day_of_week_spendingAnalyzes spending patterns by day of the week for weekday vs weekend habits
refresh_service_dataRefreshes data from a specific financial provider
Data Sources(1)
Open-source scraping library for Israeli banks and credit card companies
Try These Queries
How much did I spend on restaurants this month?What are my recurring charges?Show me a financial summary for last monthSearch for transactions over 500 NISCompare spending between categories over timeSetup Requirements
Environment Variables
HAPOALIM_USERCODEHAPOALIM_PASSWORDLEUMI_USERNAMELEUMI_PASSWORDDISCOUNT_IDDISCOUNT_PASSWORDDISCOUNT_NUMMIZRAHI_USERNAMEMIZRAHI_PASSWORDVISA_CAL_USERNAMEVISA_CAL_PASSWORDMAX_USERNAMEMAX_PASSWORDISRACARD_IDISRACARD_CARD6DIGITSISRACARD_PASSWORDSCRAPE_MONTHS_BACKDATABASE_PATHLOG_LEVEL
Dependencies
DockerDocker ComposeNode.jsYarnNotes
Configure bank credentials in env file. Only add credentials for providers you use. Runs via Docker Compose with local SQLite storage.
Known Limitations
- Scraping failures typically stem from credential mismatches with bank portals
- Requires exact credentials as defined in banking platform logins
- Depends on bank website availability
gleknerbankingfinancetransaction analysisrecurring chargesSQLiteDocker
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