Integrates Google Flights data into AI workflows for natural language flight searches, price comparisons, flexible date searches, and multi-city itinerary planning with support for various cabin classes and passenger types.
This MCP server allows an AI assistants to search for flight information online using Google Flights. It can find flights for specific dates or search through a range of dates to find all options or just the cheapest ones available.
A remote MCP server that searches Google Flights for flight information and airport codes. It enables users to find flights, locate airports, and generate travel dates through natural language interactions.
Enables flight search and price comparison by scraping flight information from Bing Flights. Supports one-way and round-trip searches with customizable passenger counts, cabin classes, and booking details.
Enables searching and retrieving detailed flight information using the Duffel API, supporting various flight types and flexible search parameters for efficient travel planning.
Provides comprehensive A-share (Chinese stock market) data including stock information, historical prices, financial reports, macroeconomic indicators, technical analysis, and valuation metrics through the free Baostock data source.
Enables searching and retrieving flight information using Duffel API, supporting one-way, round-trip, and multi-city queries with flexible search parameters.
Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.
A Model Context Protocol server focused on China's A-share stock market that provides data on stocks, financials, market indices, and macroeconomic indicators.
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.
Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.
An MCP-based trivia game server where AI creates rounds with two true statements and one false 'twist' about various topics, letting players guess which statement is false.
Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.
Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.
Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.
Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.