Browse all content tagged with Finance
The DodoPayments MCP Server enables AI assistants to seamlessly interact with external payment systems, allowing for automated payment processing, status checks, and transaction management within AI-powered workflows. Integrate payment data access and API connectivity directly into your development environment for standardized, streamlined financial operations.
The Paradex MCP Server bridges AI agents and the Paradex perpetual futures trading platform, enabling automated trading, real-time market data access, and seamless integration of advanced trading functionalities into AI-driven workflows.
The Financial Datasets MCP Server enables seamless access to real-time and historical financial data—including stock prices, statements, and crypto data—integrating directly into AI workflows for powerful, automated financial analysis.
The MetaTrader MCP Server connects AI Large Language Models to MetaTrader 5, enabling automated trading, portfolio management, and intelligent market analysis directly from AI-driven workflows.
The SEC EDGAR MCP Server connects AI agents with the SEC’s EDGAR system, enabling automated access, querying, and analysis of public financial filings and disclosures for finance, compliance, and research workflows.
The Adfin MCP Server connects AI assistants with Adfin’s financial and document management APIs, enabling automation of credit control, invoicing, and file management tasks within FlowHunt and other AI-powered workflows.
The Alpaca MCP Server enables AI assistants and large language models to interact with Alpaca’s trading platform via natural language, allowing for stock and options trading, portfolio management, and market data retrieval from LLM-powered tools and IDEs.
The FRED MCP Server connects FlowHunt and AI assistants to the Federal Reserve Economic Data API, unlocking seamless access to over 800,000 economic time-series and financial indicators for data-driven workflows and automated analysis.
The Octagon MCP Server connects AI assistants with the Octagon Market Intelligence API, enabling seamless access to comprehensive financial and market data, including SEC filings, earnings call transcripts, financial metrics, stock and crypto market data, and private company transactions. It streamlines deep research, due diligence, and market intelligence workflows for finance professionals and AI developers.
The Vantage MCP Server bridges AI assistants and MCP clients with your cloud cost data, enabling natural language querying and analysis of cloud spend through Vantage's APIs. Easily analyze, forecast, and manage cloud expenses for AWS, Azure, GCP, and more.
The YFinance MCP Server enables FlowHunt users to access real-time and historical stock market data via a Python-based API, leveraging the yfinance library for seamless financial workflows, including market analysis, investment research, and dashboard integration.
The YNAB MCP Server bridges You Need A Budget (YNAB) with AI systems via standardized Model Context Protocol endpoints, enabling secure, automated access to financial data for analytics, budget management, and intelligent workflows within FlowHunt and other AI-powered environments.
The Morningstar MCP Server bridges FlowHunt and AI assistants with Morningstar’s trusted financial data and editorial research, enabling real-time access to stock and fund metrics as well as expert financial insights. Ideal for AI-driven finance, investment, and portfolio management workflows.
The Trade Agent MCP Server empowers AI agents to interact with leading stock and crypto brokerages via natural-language commands. Execute trades, manage portfolios, and access real-time market data securely through a single, MCP-compatible endpoint.
Access the latest financial news for any stock ticker with the Yahoo Finance News component. Instantly fetch up-to-date headlines and news links directly into your workflow, empowering smarter investment decisions and automated financial research.
The Daily Expenses feature in FlowHunt provides a summarized view of your usage, grouping transactions by type and date. Easily track spending patterns and manage your budget effectively. For detailed insights, switch to the All Expenses screen.
The End of Quarter marks the close of a company's fiscal quarter, crucial for financial reporting, performance evaluation, and strategic planning. Learn how AI and automation streamline these processes, improve accuracy, and drive better decision-making.
AI in finance fraud detection refers to the application of artificial intelligence technologies to identify and prevent fraudulent activities within financial services. These technologies encompass machine learning, predictive analytics, and anomaly detection, which analyze large datasets to identify suspicious transactions or patterns that deviate from typical behavior.
Financial forecasting is a sophisticated analytical process used to predict a company’s future financial outcomes by analyzing historical data, market trends, and other relevant factors. It projects key financial metrics and enables informed decision-making, strategic planning, and risk management.
Hidden Markov Models (HMMs) are sophisticated statistical models for systems where underlying states are unobservable. Widely used in speech recognition, bioinformatics, and finance, HMMs interpret hidden processes and are powered by algorithms like Viterbi and Baum-Welch.
