Urlbox MCP Server enables AI clients to generate website screenshots, PDFs, and extract HTML or markdown from web pages via the Urlbox Screenshot API. It supports automated extraction of metadata, cookies, and allows local file downloads. The server is designed to be integrated with LLMs, which can use its tools to capture and process web content on demand via standardized MCP interfaces. Environment variable configuration secures API access, and multiple formats are supported for flexible output.

• ⭐ 1
• MCP
• urlbox/urlbox-mcp-server

Webpage Screenshot MCP Server enables the capture of webpage and element screenshots using Puppeteer, providing a Model Context Protocol-compliant interface for AI agents. It supports various image formats, flexible authentication, and session persistence to facilitate integration with tools like Claude and Cursor. The server simplifies visual verification and monitoring of web applications by returning base64-encoded screenshots through customizable options. It also allows manual login workflows and multi-step web interactions with session continuity.

• ⭐ 44
• MCP
• ananddtyagi/webpage-screenshot-mcp

Nexus MCP Server implements the Model Context Protocol to provide streamlined AI-powered web search capabilities through OpenRouter and the Perplexity Sonar models. It enables intelligent model search and discovery for MCP-compatible clients such as Claude Desktop and Cursor, supporting context-rich queries and structured citation extraction. The server features robust deployment options, including zero-install NPX execution, and is fully implemented in TypeScript. Its architecture includes production-ready features like error handling, request caching, deduplication, and logging.

• ⭐ 16
• MCP
• adawalli/nexus

Kagi-server MCP Server provides a TypeScript implementation of a Model Context Protocol (MCP) server that integrates with the Kagi Search API. It enables standardized tool access for performing web searches and plans for features like summarization, FastGPT integration, and enriched news results. Compatible with Claude Desktop and Smithery installations, it supports secure environment configuration and offers developer utilities such as automatic build and debugging via MCP Inspector.

• ⭐ 40
• MCP
• ac3xx/mcp-servers-kagi

Open-WebSearch MCP Server is a Model Context Protocol (MCP) compliant server offering web search functionalities using multiple search engines without the need for API keys or authentication. It provides structured search results with titles, URLs, and descriptions, and enables fetching of article content from supported sources such as CSDN and GitHub. The server supports extensive configuration through environment variables, including proxy settings and search engine customization. Designed for flexibility, it operates in both HTTP and stdio modes, making it suitable for integration into larger systems.

• ⭐ 463
• MCP
• Aas-ee/open-webSearch

Job Searchoor MCP Server provides a Model Context Protocol (MCP) implementation designed for job search functionality. It enables users or AI agents to retrieve available job listings with powerful filtering capabilities, such as time-based search, keyword inclusion/exclusion, and remote job filtering. It is designed for integration with systems like Claude Desktop, making job data accessible and queryable in standardized ways.

• ⭐ 53
• MCP
• 0xDAEF0F/job-searchoor

Vectara MCP Server implements the open Model Context Protocol to enable AI systems and agentic applications to connect securely with Vectara's Trusted RAG platform. It supports multiple transport modes, including secure HTTP, Server-Sent Events (SSE), and local STDIO for development. The server provides fast, reliable retrieval-augmented generation (RAG) operations with built-in authentication, rate limiting, and optional CORS configuration. Integration is compatible with Claude Desktop and any other MCP client.

• ⭐ 25
• MCP
• vectara/vectara-mcp

ImageSorcery MCP provides AI assistants with advanced image processing capabilities, all executed locally for privacy and efficiency. It offers a suite of tools for editing, analyzing, and enhancing images, including cropping, resizing, object detection, and OCR. The software leverages pre-trained models and OpenCV techniques to handle a wide range of image tasks without requiring cloud services. Designed for AI integration, it allows natural language prompts to control image manipulation and recognition workflows.

• ⭐ 236
• MCP
• sunriseapps/imagesorcery-mcp

Sonos TypeScript MCP Server offers real-time, intelligent control over Sonos audio devices using the Model Context Protocol. It enables AI assistants and coding agents to manage playback, zones, music libraries, alarms, and device groups over local networks via UPnP/SOAP. The server is designed for integration into AI-driven workflows and supports standardized MCP I/O. Real-time event subscriptions and device discovery provide up-to-date context and actionable capabilities for smart home audio environments.

• ⭐ 3
• MCP
• Tommertom/sonos-ts-mcp

exif-mcp is an MCP server enabling on-demand reading of image metadata for LLMs or human users, operating fully offline. Built with TypeScript and utilizing the exifr library, it rapidly extracts multiple metadata segments from images without relying on external tools. The server exposes a standardized set of tools for accessing EXIF, GPS, XMP, ICC, IPTC, and other metadata. It supports various input formats and is designed for secure and efficient integration with Model Context Protocol workflows.

• ⭐ 24
• MCP
• stass/exif-mcp

GIF Creator MCP is a Model Context Protocol (MCP) server designed to convert video files into GIF animations. It allows users to customize output settings, such as frames per second, dimensions, and duration, and can extract specific portions of videos. The tool supports high-quality GIF generation and integrates with clients like Goose for easy extension. Video processing leverages FFmpeg and outputs GIFs with optimized palettes.

• ⭐ 11
• MCP
• ananddtyagi/gif-creator-mcp

PMCP implements a Model Context Protocol (MCP) server in Go, enabling natural language access and manipulation of Prometheus metrics. It maintains full consistency with the Prometheus HTTP API and supports a robust, type-safe interface for seamless integration with MCP-compatible clients. The server offers complete Prometheus API coverage and supports multiple transport methods, including HTTP and Server-Sent Events. Its modular architecture is designed for performance, extensibility, and effective error handling.

• ⭐ 3
• MCP
• yshngg/pmcp

Inspektor Gadget MCP Server provides an AI-powered debugging and inspection interface for Kubernetes clusters. Leveraging the Model Context Protocol, it enables intelligent output summarization, one-click deployment of Inspektor Gadget, and automated discovery of debugging tools from Artifact Hub. The server integrates seamlessly with VS Code for interactive AI commands, simplifying Kubernetes troubleshooting and monitoring workflows.

• ⭐ 16
• MCP
• inspektor-gadget/ig-mcp-server

MCP Status Observer enables real-time monitoring and querying of service status for major digital platforms and AI providers through the Model Context Protocol (MCP). It supports integration with tools like Claude Desktop for streamlined status checks, incident tracking, and impact analysis across a range of platforms including GitHub, Slack, OpenAI, and Cloudflare. The tool provides detailed component-level insights, incident histories, and resolution statuses, empowering rapid awareness of operational issues and outages.

• ⭐ 5
• MCP
• imprvhub/mcp-status-observer

VictoriaMetrics MCP Server implements the Model Context Protocol (MCP) to provide seamless integration with VictoriaMetrics, allowing advanced monitoring, data exploration, and observability. It offers access to almost all read-only APIs, as well as embedded documentation for offline usage. The server facilitates comprehensive metric querying, cardinality analysis, alert and rule testing, and automation capabilities for engineers and tools.

• ⭐ 87
• MCP
• VictoriaMetrics-Community/mcp-victoriametrics