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

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

Local MCP server that ingests and normalizes recent AI, tech, and research news from multiple sources, exposing tools for media agents to query and retrieve article content on demand.

A Model Context Protocol server that exposes real-time AI news intelligence to AI agents and MCP-compatible clients, with 9 deterministic tools for search, trending, signals, and risk analysis.

Enables financial research and analysis through AI agents that combine web search, content crawling, entity extraction, and deep research workflows. Supports extracting stock/fund entities with security codes and conducting structured financial investigations.

Enables agents to submit markdown for human review, track feedback, and apply revisions through an HTTP API with an optional MCP wrapper.

Agentic NewsAPI.org MCP server with semantic search, article versioning, ChromaDB retrieval, and Supabase persistence, enabling efficient news article access and management.

Enables querying a local SQLite database of curated RSS/Atom/RDF feeds through tools for latest headlines with filters, keyword search, cross-outlet coverage comparison, and source/freshness listing. Items are kept in their original language so an LLM can translate, summarize, and compare framing at query time.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

Four UK property finance calculators for AI assistants: bridging cost, development appraisal, BTL stress test, and UK stamp duty (SDLT, LBTT, LTT). Built by FD Commercial, a specialist UK property finance broker.

Enables freelancers to create, store, render, and manage service agreements with scope, deliverables, rate, termination, liability, and signature blocks, including a before-send checklist and clause library.

MCP server for global news monitoring, media analysis and sentiment tracking via WorldNewsAPI — full-text search across 150+ countries, German/English sentiment analysis, top headlines, GL briefings, newspaper front pages and geo-search. API key required.

A smart news search server that automatically switches between multiple news APIs when one reaches its limit, enabling reliable searching across 20+ languages without worrying about API quotas.

A Model Context Protocol server that enables interaction with Yahoo Finance to retrieve stock pricing, company information, and historical financial data through natural language queries.

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

A TypeScript-based MCP server that enables users to query financial news, stock data, and index information while managing text notes with creation and summarization capabilities.

Provides intelligent, persistent memory for AI assistants with semantic search, natural language queries, and OAuth-based team collaboration, enabling context-aware conversations across multiple clients.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Fetches ranked top headlines for any country via Google News RSS, with optional topic sections or keyword queries within a trailing day window.

Enables searching recent news coverage from 28 Chinese, Hong Kong, Taiwanese and overseas-Chinese publishers, with headline, publisher, URL, publication time, theme tags and average article tone, plus an audited publisher census and article metadata lookups.

MCP server that enables AI agents to access and modify Todoist tasks, such as finding tasks by date and adding tasks, via natural language.