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A Model Context Protocol server that enables AI assistants to control Keynote presentations through AppleScript automation, supporting slide operations, theme-aware content management, and export functions.

Provides comprehensive SEO analysis by crawling websites and generating AI-powered keyword insights, search volume data, and competitor strategies. It delivers detailed reports on keyword clusters and commercial intent to help optimize digital marketing workflows.

An MCP server that interfaces with Google NotebookLM to enable autonomous academic research and systematic knowledge management. It allows users to perform deep web searches and automatically generate study artifacts like research reports, presentation slides, and audio overviews.

Transforms Claude into a production-grade pair programmer by orchestrating best-in-class APIs (Morph, Chroma, DSPy) for iterative code evolution to 95%+ quality, semantic codebase search, package discovery across 3,000+ libraries, and pattern learning.

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kinielagpt (Ricardo Moya)

KinielaGPT es un servidor MCP (Model Context Protocol) diseñado para potenciar tus predicciones de la Quiniela mediante un análisis avanzado de datos. Combina las probabilidades oficiales de LAE con un análisis contextual profundo: histórico de enfrentamientos, rachas recientes, clasificación y rendimiento como local o visitante. Ofrece tres estrategias de predicción, detección de sorpresas y un análisis pormenorizado partido a partido.

Kiseki Labs Readwise MCP (Kiseki Technologies)

全面解析Kiseki Labs Readwise MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Kiseki Labs Readwise MCP能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

全面解析MCP Obsidian DockerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，MCP Obsidian Docker能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Knowair Weather MCP

Description\\r\\nKnowAir Weather MCP is a comprehensive weather and air quality Model Context Protocol (MCP) server. It provides real-time meteorological data and detailed air quality monitoring (PM2.5, PM10, O₃, SO₂, NO₂, CO, AQI – CN \u0026 US standards), along with short- and long-term forecasts and astronomical information. Built with Python 3.12+ and FastMCP, it integrates with the Caiyun Weather API to deliver high-precision environmental intelligence.\\r\\n\\r\\nFeatures\\r\\n\\t•\\t🌤️ Meteorology: real-time temperature, humidity, wind, precipitation\\r\\n\\t•\\t🏙️ Air Quality: pollutant concentrations + AQI (CN \u0026 US)\\r\\n\\t•\\t📅 Forecasts: 72-hour hourly and 7-day daily predictions\\r\\n\\t•\\t🌧️ Minute-level precipitation: hyper-local rain/snow timing (China cities)\\r\\n\\t•\\t🌅 Astronomy: sunrise, sunset, moon phases\\r\\n\\t•\\t⚠️ Alerts: real-time weather and air quality warnings\\r\\n\\r\\nExample Usage\\r\\nAsk Claude (with this MCP enabled):\\r\\n\\r\\n“What’s the current weather and air quality in Beijing?”\\r\\n“Get comprehensive environmental data for 116.4575, 39.9113”

Local MCP server that allows agents to track documentation coverage on the codebases

Enables AI assistants to extract and analyze text content from various document formats (PDF, DOCX, PPTX, XLSX) in local knowledge bases, and create new formatted Word and Excel documents with structured data and reports.

A cross-project knowledge base MCP server supporting three-layer search (text matching, TF-IDF, and semantic vectors) with a Web UI for management.

A local knowledge base system based on ChromaDB that supports automatic chunking, vector storage, and efficient similarity retrieval of txt and pdf documents, with MCP protocol support allowing AI assistants to directly access knowledge management functions.

A zero-dependency MCP server that provides a persistent personal knowledge base for Claude using local JSON file storage. It enables users to manage notes through tools for adding, searching, and indexing content built entirely with Node.js built-ins.

Search 1,500+ pre-verified, cited knowledge units across 16 domains. 6 tools: query, batch query, get unit, list domains, suggest topics, report issues. Free, no API key required.

An MCP server that enables AI agents to query specialized, domain-specific knowledge bases built using the LightRAG framework for enhanced retrieval-augmented generation. It allows for managing and searching knowledge graphs and vector embeddings to provide accurate, context-aware information during an AI assistant's reasoning process.

Make your knowledge agent-ready. Connect docs from Confluence, Notion, GitHub, Dropbox, or Google Drive — any AI agent searches them via one MCP endpoint. 3 retrieval modes: vector search, broad sear…

Enables efficient editing of structured RBT documents through targeted operations on specific sections and blocks. Reduces LLM token consumption by 80-95% compared to traditional full-file operations while providing complete CRUD functionality.

Knowledge Tools MCP

An MCP server for interacting with various research \u0026 notetaking applications.

Filesystem first MCP server for Obsidian vaults with an LLM-Wiki layer on top.