JSON MCP Filter is an MCP-compliant server offering robust JSON schema generation and field-level filtering tools for both local files and remote HTTP/HTTPS endpoints. Leveraging quicktype for precise TypeScript type creation, it supports advanced features such as smart shape-based filtering, auto-chunking of large datasets, and memory-safe processing. Designed for seamless integration with popular MCP clients, it excels at extracting and preparing relevant JSON data for large language model contexts.

• ⭐ 17
• MCP
• kehvinbehvin/json-mcp-filter

Kagi MCP Server enables easy integration of Kagi's search and summarization capabilities with AI systems via the Model Context Protocol. It facilitates tool-based queries such as searching web results or summarizing content, and offers setup instructions for various platforms including Claude Desktop. Users can install and configure the server through package managers, Smithery, or direct Python environments. The project provides configurable environment variables for API access and summarization engine selection, supporting both local development and production usage.

• ⭐ 216
• MCP
• kagisearch/kagimcp

Provides a fast and efficient command-line tool for capturing high-quality screenshots of webpages, specifically optimized for integration with AI vision workflows via the Model Context Protocol (MCP). Automates image tiling to 1072x1072 pixel chunks for optimal processing and compatibility with tools like Claude Vision API. Includes advanced features such as full-page capture, screencast recording, support for JavaScript injection, configurable viewports, and resource-efficient browser management.

• ⭐ 89
• MCP
• just-every/mcp-screenshot-website-fast

Provides a Model Context Protocol (MCP) compatible server that rapidly fetches web pages, removes noise, and converts content to clean Markdown with link preservation. Designed for local use by AI-powered tools like IDEs and large language models, it offers optimized token usage, concurrency, polite crawling, and smart caching. Integrates with Claude Code, VS Code, JetBrains IDEs, Cursor, and other MCP clients.

• ⭐ 111
• MCP
• just-every/mcp-read-website-fast

Stocky enables fast, asynchronous search and retrieval of royalty-free stock images from Pexels and Unsplash through a unified MCP-compatible interface. It supports rich metadata, provider flexibility, pagination, and robust error handling. Designed to operate as an MCP (Model Context Protocol) server, it integrates with MCP clients using standard client configuration and environment variables for API keys. Stocky provides Python async functions for searching, retrieving details, and downloading images with flexible output options.

• ⭐ 14
• MCP
• joelio/stocky

G-Search MCP is a server for executing parallel Google searches optimized for use with AI tools through the Model Context Protocol. It efficiently handles multiple queries at once, simulates realistic user behavior to evade detection, and returns well-structured JSON responses. The server is configurable, supports parameter tuning like search limits and timeouts, and is designed for seamless integration in AI-driven environments such as Claude Desktop.

• ⭐ 224
• MCP
• jae-jae/g-search-mcp

Fetcher MCP is a server that fetches and extracts web page content using the Playwright headless browser while supporting the Model Context Protocol. It intelligently processes dynamic web pages with JavaScript, employs the Readability algorithm to extract main content, and supports output in both HTML and Markdown formats. Designed for seamless integration with AI model environments, it offers robust parallel processing, resource optimization, and flexible deployment options including Docker.

• ⭐ 906
• MCP
• jae-jae/fetcher-mcp

Naver Search MCP Server provides a Model Context Protocol (MCP) compliant server that integrates Naver Search and DataLab APIs. It enables easy and comprehensive search across a wide range of Naver services, as well as advanced trend analysis with context-aware tools. The implementation supports Smithery platform installation, temporal context handling, and offers tools for both information retrieval and data analytics within the Naver ecosystem.

• ⭐ 45
• MCP
• isnow890/naver-search-mcp

SearXNG MCP Server implements the Model Context Protocol and integrates the SearXNG API to provide extensive web search functionalities. It features intelligent caching, advanced content extraction, and multiple configurable search parameters such as language, time range, and safe search levels. The server exposes tools for both web searching and URL content reading, supporting detailed output customization through input parameters. Designed for seamless MCP deployments, it supports Docker and NPX-based installation with rich configuration options.

• ⭐ 321
• MCP
• ihor-sokoliuk/mcp-searxng

Provides a public Model Context Protocol (MCP) server that enables AI assistants to access and search thousands of remote job listings and company information from Himalayas.app. Offers structured tools for advanced job and company search, including filters for keywords, location, and remote eligibility. Supports integration with popular AI desktops like Claude, Cursor, and Windsurf through simple configuration. Features OAuth authentication for secure access and real-time results.

• ⭐ 12
• MCP
• Himalayas-App/himalayas-mcp

Unsplash MCP Server provides a simple and robust interface to search and integrate high-quality Unsplash images through the Model Context Protocol (MCP). It offers advanced photo search capabilities with filters for keywords, color schemes, orientation, and sorting. Designed for easy integration with development environments such as Cursor and Smithery, it simplifies embedding Unsplash image search into AI and automation workflows.

• ⭐ 186
• MCP
• hellokaton/unsplash-mcp-server

mcp-paperswithcode provides a Model Context Protocol (MCP) interface for AI assistants to discover, search, and analyze research papers, related code repositories, datasets, authors, conferences, and research areas. The tool enables seamless integration with the PapersWithCode API, offering powerful methods for context-aware research exploration. It supports searching, retrieving metadata, extracting content, and listing relationships between academic resources, enhancing an AI model's ability to access and utilize scientific content.

• ⭐ 14
• MCP
• hbg/mcp-paperswithcode

youtube_mcp is a server that enables transcription of YouTube videos using the Model Context Protocol (MCP). Users can set up the server, authenticate via an MCP key, and stream video transcript data for integrated AI tools. Designed for use with applications like Claude desktop, it supports OpenAI APIs and utilizes browser cookies for access.

• ⭐ 26
• MCP
• format37/youtube_mcp

Search1API MCP Server is an implementation of the Model Context Protocol (MCP) that provides search and crawl services using the Search1API. It allows seamless integration with MCP-compatible clients, including LibreChat and various developer tools, by managing API key configuration through multiple methods. Built with Node.js, it supports both standalone operation and Docker-based deployment for integration in broader AI toolchains.

• ⭐ 157
• MCP
• fatwang2/search1api-mcp

Exa MCP Server provides a Model Context Protocol (MCP) server interface that connects AI assistants to Exa AI’s powerful search capabilities, including code, documentation, and web search. It enables coding agents to retrieve precise, token-efficient context from billions of sources such as GitHub, StackOverflow, and documentation sites, reducing hallucinations in coding agents. The platform supports integration with popular tools like Cursor, Claude, and VS Code through standardized MCP configuration, offering configurable access to various research and code-related tools via HTTP.

• ⭐ 3,224
• MCP
• exa-labs/exa-mcp-server