Web Analyzer MCP is an MCP-compliant server designed for intelligent web content analysis and summarization. It leverages FastMCP to perform advanced web scraping, content extraction, and AI-powered question-answering using OpenAI models. The tool integrates with various developer IDEs, offering structured markdown output, essential content extraction, and smart Q&A functionality. Its features streamline content analysis workflows and support flexible model selection.

• ⭐ 2
• MCP
• kimdonghwi94/web-analyzer-mcp

NCBI Literature Search MCP Server provides a Model Context Protocol (MCP) interface to search the vast PubMed database using natural language queries. It enables AI assistants to conduct comprehensive and advanced literature searches across biological and biomedical disciplines, returning metadata such as abstracts, author lists, MeSH terms, and DOIs. Designed for integration with AI tools, it supports advanced query capabilities and streamlines literature review and research discovery processes.

• ⭐ 6
• MCP
• vitorpavinato/ncbi-mcp-server

Vectorize MCP Server is an implementation of the Model Context Protocol (MCP) that integrates with the Vectorize platform to enable advanced vector retrieval and text extraction. It supports seamless installation and integration within development environments such as VS Code. The server is configurable through environment variables or JSON configuration files and is suitable for use in collaborative and individual workflows requiring vector-based context management for models.

• ⭐ 97
• MCP
• vectorize-io/vectorize-mcp-server

tavily-search MCP server provides an MCP-compliant server to perform search queries using the Tavily API. It returns search results in text format, including AI responses, URLs, and result titles. The server is designed for easy integration with clients like Claude Desktop or Cursor and supports both local and Docker-based deployment. It facilitates AI workflows by offering search functionality as part of a standardized protocol interface.

• ⭐ 44
• MCP
• Tomatio13/mcp-server-tavily

AgentQL MCP Server acts as a Model Context Protocol (MCP) server that leverages AgentQL's data extraction capabilities to fetch structured information from web pages. It allows integration with applications supporting MCP, such as Claude Desktop, VS Code, and Cursor, by providing an accessible interface for extracting structured data based on user-defined prompts. With configurable API key support and streamlined installation, it simplifies the process of connecting web data extraction workflows to AI tools.

• ⭐ 120
• MCP
• tinyfish-io/agentql-mcp

Enrichr MCP Server provides gene set enrichment analysis using the Enrichr API, supporting all available gene set libraries. It is designed to integrate with LLM tools through the Model Context Protocol and returns only statistically significant results. The tool allows queries across multiple biological, disease, tissue, drug, and pathway gene set libraries, with customizable configuration for popular or specific libraries. Installation and integration is streamlined for platforms like Claude Desktop, Cursor, and VS Code.

• ⭐ 7
• MCP
• tianqitang1/enrichr-mcp-server

GeekNews MCP Server provides an MCP-compliant server to extract articles and weekly news from GeekNews, using Python and BeautifulSoup for web scraping. It supports scheduled automatic parsing and caching of data to minimize server load and ensure efficient retrieval. The server exposes tools to obtain articles by type and weekly news, offering structured metadata for each item. Integration is facilitated via Smithery and is compatible with the MCP ecosystem.

• ⭐ 16
• MCP
• the0807/GeekNews-MCP-Server

arxiv-latex MCP Server provides an MCP-compatible server that allows clients like Claude Desktop and Cursor to fetch and process the LaTeX source code of arXiv papers, leveraging precise access to mathematical content. By utilizing original LaTeX instead of PDF, it enables large language models to better understand complex equations and notations. Integration is straightforward through desktop extensions or manual configuration, and the tool is particularly valuable for research fields that rely on mathematical accuracy.

• ⭐ 72
• MCP
• takashiishida/arxiv-latex-mcp

ShopSavvy Data API MCP Server implements the Model Context Protocol to enable AI assistants to access and interact with ShopSavvy's extensive product database. It supports product lookup, retrieves current and historical pricing from multiple retailers, and allows scheduled monitoring of product prices. The server also manages API usage analytics and credit consumption, offering robust error handling and developer tools for integration.

• ⭐ 5
• MCP
• shopsavvy/shopsavvy-mcp-server

Driflyte MCP Server acts as a bridge between AI-powered assistants and diverse, topic-aware content sources by exposing a Model Context Protocol (MCP) server. It enables retrieval-augmented generation workflows by crawling, indexing, and serving topic-specific documents from web pages and GitHub repositories. The system is extensible, with planned support for additional knowledge sources, and is designed for easy integration with popular AI tools such as ChatGPT, Claude, and VS Code.

• ⭐ 9
• MCP
• serkan-ozal/driflyte-mcp-server

MCP-searxng enables agentic systems to interface with web search engines via the SearXNG platform by implementing the Model Context Protocol. It supports both command-line and local server deployment, providing flexible integration options. Users can configure custom SearXNG server URLs and connect through clients like uvx or claude desktop. The tool simplifies access to structured web search within agentic workflows.

• ⭐ 107
• MCP
• SecretiveShell/MCP-searxng

searchcraft-mcp-server is a TypeScript/Node.js server that implements the Model Context Protocol (MCP) for Searchcraft clusters. It provides a suite of programmable tools for managing indexes, documents, federations, access keys, and analytics using plain English prompts via AI model clients. The server enables seamless interaction between AI interfaces like Claude Desktop and Searchcraft's administrative functions by exposing these operations as protocol-driven actions.

• ⭐ 6
• MCP
• searchcraft-inc/searchcraft-mcp-server

Scrapeless MCP Server is a powerful integration layer enabling large language models, AI agents, and applications to interact with the web in real time. Built on the open Model Context Protocol, it facilitates seamless connections between models like ChatGPT, Claude, and tools such as Cursor to external web capabilities, including Google services, browser automation, and advanced data extraction. The system supports multiple transport modes and is designed to provide dynamic, real-world context to AI workflows. Robust scraping, dynamic content handling, and flexible export formats are core parts of the feature set.

• ⭐ 57
• MCP
• scrapeless-ai/scrapeless-mcp-server

GXtract MCP Server implements the Model Context Protocol (MCP) to facilitate direct integration between the GroundX document understanding platform and editors such as VS Code. It offers tools for document search, querying, and semantic object explanations, leveraging Python 3.12+ and FastMCP v2 for high performance. The system includes an in-memory cache to boost efficiency and reduce API calls, with support for both stdio and HTTP transport layers for maximum flexibility.

• ⭐ 1
• MCP
• sascharo/gxtract

MCP Server for Deep Research provides an end-to-end workflow for conducting in-depth research on complex topics. It elaborates on research questions, generates subquestions, integrates web search, analyzes and synthesizes retrieved content, and generates structured, well-cited research reports. The tool integrates with Claude Desktop and leverages prompt templates tailored for comprehensive research tasks.

• ⭐ 187
• MCP
• reading-plus-ai/mcp-server-deep-research