"A service for getting latest news and information with category-based summaries (AI, finance, etc.)" matching MCP servers:

A server providing access to news articles from various categories including tech, data science, cybersecurity, and more, allowing retrieval and summarization of latest content.

Enables querying personal financial data such as balances, expenses by category, upcoming bills, transactions, and credit card summaries through any MCP client, using a SQLite database with fictional seed data.

A personal finance tracker MCP server that imports Rocket Money data or connects banks via SimpleFIN to a local SQLite database, enabling Claude to analyze spending, subscriptions, cash flow, and debt payoff with complete privacy.

A Model Context Protocol server providing comprehensive financial data from Yahoo Finance, allowing users to retrieve detailed stock information, financial statements, options data, and market news.

A local-first MCP server that connects SimpleFIN bank accounts to Claude, storing data in a local DuckDB file and providing a web dashboard.

A production-ready generic FastMCP server template with SQLAlchemy async CRUD, enabling rapid bootstrapping of MCP data-management services. It provides registry-driven CRUD, FK resolution, conflict versioning, and multiple transports.

Enables MCP clients to manage a local SQLite personal-finance ledger by recording income and expenses, listing transactions, aggregating spending by category, summarizing income/expense/net, and setting and tracking monthly budgets.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

Enables GitHub Copilot Chat to query and analyze finance model data stored in MongoDB through natural language, supporting tools like listing collections, schema inspection, data queries, aggregations, and summary statistics.

Turns a personal-finance SQLite database into typed, schema-validated tools that an AI assistant can call directly, letting you manage accounts, transactions, budgets, debts, investments, tax estimates, and goals through natural language.

Enables personal finance tracking through Claude Desktop using natural language to manage income and expenses with persistent SQLite storage. Supports adding and deleting transactions, checking balances, and viewing spending summaries grouped by category or month.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.

Enables self-hosted personal finance management for MCP clients by connecting read-only bank accounts via SimpleFIN, syncing transactions into a local SQLite database, and exposing tools to query balances, spending, budgets, cash flow, and net worth.

MCP server for SchoolFinance, a single-user school finance app, exposing tools and resources for managing students, classes, payments, income/expenses, reports, and settings via local SQLite.

Self-hosted, read-only MCP server that connects banks, credit cards, loans, and brokerage accounts via Plaid. 9 tools for balances, transactions, recurring charges, liabilities, and investment holdings.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

Tracks personal expenses with tools to add, edit, and summarize expenses, storing data locally in SQLite.

Enables AI assistants to securely manage and analyze personal finances through natural language, with full control over data via a private PostgreSQL database.

Exposes data query and auto-insights (anomaly detection) as MCP tools. Enables AI agents to query metrics, list columns, and get data insights directly from pandas.