"Methods for Parsing Emails" matching MCP servers:

A small MCP server that wraps MoneyMoney on macOS via AppleScript, exporting account lists and transactions (bookingDate, amount, name, purpose) as plists for invoice reconciliation, complementing a companion Apple Mail server.

An MCP server that provides calculations for 11 betting methods including Martingale, Fibonacci, and Kelly Criterion. Enables users to initialize sessions, record wins/losses, and get next bet amounts through natural language.

Enables access to Brazil's Central Bank (BCB) Open Data API for payment methods, allowing queries about PIX, card transactions, ATM terminals, interchange rates, and other payment statistics through natural language.

Enables AI assistants to interact with the Cas Parser REST API for parsing CAS statements and managing credits.

Provides option and portfolio analytics through validated numerical methods, exposing tools for pricing, Greeks, implied volatility, volatility surfaces, and American options via MCP.

A collection of small MCP servers for macOS automation that expose Apple Mail, MoneyMoney, and Spotlight functionality as tools via AppleScript and command-line, enabling AI applications to search mail, manage contacts and transactions, and perform system-wide file searches through natural language.

A fast, safe MCP server for YNAB providing read-only budget access by default, with 28 tools for budgets, transactions, categories, payees, accounts, scheduled transactions, and server-computed analytics.

Enables read-only access to personal financial data and safe, audited classification-rule management via Claude Desktop.

Provides startup valuation methods with auditable calculations, readiness checks, and explanations through MCP tools.

A production-grade MCP server that provides tools to fetch historical stock data, company information, and technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) via yfinance, and includes a Flask web dashboard for visual analysis.

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

Read-only SQL MCP server for quantitative finance data (DuckDB) with stock quotes, financials, and historical K-lines, enabling cross-database JOIN queries.

Enables AI agents to query US public company financial data from SEC filings, with tools for resolving tickers, listing filings, retrieving financial concepts, comparing companies, extracting filing sections, and full-text search. It surfaces data ambiguities like tag variations, restatements, and fiscal-year misalignment rather than hiding them.

MCP server for Lexware Office that enables querying and managing contacts, sales documents, vouchers, files, payments, and webhooks through a sandboxed two-tool interface (search/execute) with read-only-by-default write safety.

Brazilian foreign trade from MDIC/ComexStat -- exports and imports since 2000 by HS code (SH4/SH6/NCM) and partner country, in USD FOB and kilograms -- plus crop production, supply-and-demand balances, climate readings and commodity forecasts for hubs such as soybean, coffee and beef. 15 read-only tools, remote at https://mcp.kyrodata.com/mcp; official registry com.kyrodata/kyrodata.

Provides live and historical market data for Bitcoin and any Binance pair via two read-only tools: current price snapshot and historical OHLC candles.

Model Context Protocol server exposing the bankstatementparser library as first-class agent tools for reading bank statements.

Fail-closed evidence manifests for financial AI research: one manifest records evidence artifacts, cutoff timestamps, checks, AI usage and human approval — one verdict before anything ships. MCP tools: gov_check, gov_report, gov_init.

Pre-computed financial market intelligence for AI agents. Stocks, crypto, and ETFs.

MCP server providing deterministic cost anomaly detection for cloud billing and auditable architecture risk scoring, enabling AI agents to identify waste and risk with explainable rules.