MCPs tagged with large-language-model-integration
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Notion MCP Server
Enable LLMs to interact with Notion using the Model Context Protocol.
Notion MCP Server allows large language models to interface with Notion workspaces through a Model Context Protocol server, supporting both data retrieval and editing capabilities. It includes experimental Markdown conversion to optimize token usage for more efficient communication with LLMs. The server can be configured with environment variables and controlled for specific tool access. Integration with applications like Claude Desktop is supported for seamless automation.
- ⭐ 834
- MCP
- suekou/mcp-notion-server
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MCP Server for the RAG Web Browser Actor
Local MCP server enabling LLMs to browse and extract web content via RAG Web Browser integration.
Implements a Model Context Protocol (MCP) server designed for integration with LLMs and Retrieval-Augmented Generation (RAG) pipelines, providing automated web search and web page extraction capabilities. Runs locally and interacts with the RAG Web Browser Actor in Standby mode, responding to queries by fetching, scraping, and returning cleaned content from the web as Markdown. Supports Google Search queries and direct URL fetching through a standardized 'search' tool interface, offering multiple output formats and programmable arguments. Deprecated in favor of mcp.apify.com but illustrates MCP server use for local web browsing integrations.
- ⭐ 194
- MCP
- apify/mcp-server-rag-web-browser
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MCP Weather Server
Provides weather forecasts to LLMs via the Model Context Protocol.
MCP Weather Server enables large language models to access real-time, accurate weather forecasts by interfacing with the AccuWeather API. It offers both hourly and daily weather data, supporting metric and imperial units, and can be seamlessly integrated with MCP-compatible clients like Claude Desktop or supergateway. The server provides tools for retrieving weather based on location and settings, with robust configuration options. It is designed for straightforward deployment using Node.js and environment-configured API keys.
- ⭐ 27
- MCP
- TimLukaHorstmann/mcp-weather
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K8M
AI-driven lightweight Kubernetes dashboard with integrated MCP and multi-cluster management.
K8M is an AI-enabled mini Kubernetes dashboard built with a focus on simplifying cluster management and enhancing user experience. Utilizing the Model Context Protocol (MCP), K8M offers visual management for MCP, allowing AI models to interact with Kubernetes resources and tools easily, supporting over 49 built-in MCP tools. It enables powerful multi-cluster management, integrates advanced AI capabilities such as chat-driven resource explanation and diagnostics, and supports custom large model integration including private deployments and models like Ollama.
- ⭐ 702
- MCP
- weibaohui/k8m