The ArXiv MCP Server is a bridge connecting AI assistants with the arXiv research library, enabling paper search and content access through the MCP protocol.

An AI-driven browser automation server based on the MCP protocol, supporting natural language control of web page operations and in-depth web research.

The 302AI BrowserUse MCP Server is an AI-based browser automation server that enables natural language control of browsers and web research through the Model Context Protocol (MCP).

The Perplexity MCP Server is an intelligent research assistant that uses Perplexity's AI model to automatically analyze query complexity and select the best model to process requests. It supports three tools: search, reasoning, and in - depth research.

The Perplexity MCP Server is an intelligent research assistant that uses Perplexity's AI model to provide automatic query complexity detection and optimal model routing functions, supporting three tools: search, reasoning, and in - depth research.

Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

The GPT Researcher MCP Server is an AI research server based on the MCP protocol. It can provide high-quality and optimized research results for LLM applications through in-depth web search and verification.

Think MCP is a project that implements an MCP server, providing the 'think' tool to support AI agents in performing structured reasoning in complex tasks, inspired by Anthropic's research. This tool helps AI process information, backtrack, or adhere to strategies by recording the thinking process, and is suitable for scenarios such as tool output analysis, policy-intensive environments, and sequential decision-making.

Gramps MCP is an AI - driven genealogy research and management tool that provides direct access to the Gramps genealogy database for AI assistants through the MCP protocol, supporting functions such as intelligent search, data management, and family relationship analysis

Intelligent stock data service based on Model Context Protocol, providing real-time quotes, fundamental analysis, news, and in-depth research reports driven by AI for A-shares, Hong Kong stocks, and US stocks

A research - level MCP server implementation that interacts with the Perplexity website without an API key, providing AI - driven research functions such as web search, document retrieval, API lookup, and code analysis.

Octagon MCP is a market data model context protocol server that integrates the Octagon market intelligence API, providing AI agent services for public market data, private market data, and deep research.

Octagon Deep Research MCP provides AI-driven in-depth research and analysis services, integrates advanced research agents, has no rate limit, is faster than ChatGPT in-depth research, and is more comprehensive than Grok DeepSearch or Perplexity. It supports various MCP clients and is suitable for comprehensive research on any topic or industry.

An MCP server based on Anthropic research, providing the 'think' tool capability for Claude AI and enhancing the handling of complex reasoning tasks.

The Roam Research MCP Server is a tool that provides a standardized interface for AI assistants and supports in - depth interaction with the Roam Research knowledge graph.

The bioRxiv MCP Server provides a bridge for AI assistants to access the bioRxiv pre - print library, supporting functions such as paper search and metadata retrieval, and facilitating biological scientific research.

An SEO automation tool integrated with Google Ads keyword planning, providing keyword research, SERP analysis, competitor analysis, and AI optimization suggestions.

The PubMed MCP Server is an interface service based on the Model Context Protocol, providing comprehensive access to the PubMed biomedical literature database for AI agents and research tools. It supports functions such as literature search, metadata acquisition, citation analysis, research plan generation, and data visualization, and is efficiently integrated through the NCBI E - utilities API.

The AMiner academic search server based on the Model Context Protocol provides functions for paper keyword, journal, and author search, as well as an AI research assistant.

The BioContextAI Knowledge Base MCP is a model context protocol server designed for biomedical research that provides a standardized connection layer between AI systems and biomedical resources, supporting integrated access to multiple biomedical databases and tools.

This project is a research and documentation on the Model Context Protocol (MCP), including technical analysis, implementation solutions, usage guides, and other resources, aiming to comprehensively introduce the MCP ecosystem.

A deep research MCP service based on Ollama, realizing automated web search and knowledge synthesis through local LLM models

An MCP server for searching and downloading papers from multiple academic platforms (such as arXiv, PubMed, bioRxiv, etc.), supporting standardized search and acquisition tools, facilitating AI - driven research workflows.

The OpenRouter Agents MCP Server is a research agent server based on the Model Context Protocol (MCP). It uses Claude 3.7 Sonnet as the planning agent to coordinate multiple OpenRouter models to decompose and execute complex research tasks, providing efficient and reliable AI research services.

This project is a list of MCP servers, covering multiple fields such as browser automation, tool integration, system automation, AI services, search, commands, workflow automation, social media, communication, customer data platforms, databases, knowledge storage, development tools, file systems, cloud storage, finance, location services, monitoring, research data, security, travel, data visualization, notes, marketing, identity, etc.

ResearchMCP is a research tool that combines the Model Context Protocol (MCP) with multiple search engines, aiming to provide research capabilities similar to ChatGPT DeepResearch.

An intelligent research assistant integrating Perplexity AI, providing functions such as search, document retrieval, API discovery, and code modernization check, supporting context tracking and efficient API management.

An AI-driven MCP server that automatically connects to the Malware Bazaar platform, providing real-time threat intelligence and malware sample metadata for authorized network security research.

An MCP server based on the Serper API, providing Google search functionality and an AI in-depth research tool, supporting configurable search parameters, multi-level research depth, and result quality monitoring.

Claude Deep Research is a research server based on the MCP protocol. It provides comprehensive research capabilities for AI assistants like Claude, integrating web and academic search functions, and supporting multi - source information acquisition, content extraction, and structured analysis.

An internet research service based on Perplexity AI

Zotero MCP is a tool that connects the Zotero research library with AI assistants such as Claude. It realizes functions such as paper search, summary generation, citation analysis, and PDF annotation extraction through the Model Context Protocol.

An AI-driven research orchestration service based on Cloudflare Workers that provides comprehensive and structured research answers by intelligently analyzing queries, invoking multiple professional tools in parallel, and integrating the results.

HydraMCP is a lightweight and scalable network security toolkit that connects AI assistants with security tools through the Model Context Protocol (MCP), supporting AI - assisted security research, scanning, and analysis.

The Linked API MCP Server is a tool that connects your LinkedIn account to AI assistants. It securely and automatically enables functions such as potential customer search, message sending, profile analysis, and market research through a cloud browser. It is suitable for scenarios such as sales automation, recruitment assistance, and conversation management.

This project guides developers on how to integrate the MCP service with GitHub Copilot to extend the capabilities of the AI-assisted development workflow. Through less than an hour of learning, users will set up the GitHub MCP server, implement Copilot proxy mode integration, and complete the full process practice from issue research to code submission.

Perplexity Deep Research MCP is a Model Context Protocol server that provides web search functionality for the Perplexity AI API, supporting AI assistants to perform web searches using the sonar - deep - research model.

DeepRe is a Deno-based AI-driven CLI tool that automatically generates in-depth research reports using Google Gemini API. It supports multi-round iterative research and automatic evaluation, and outputs structured Markdown reports.

This project is a collection of resources related to the security of the Model Context Protocol (MCP), including research papers, security vulnerability analyses, tools, articles, and other relevant resources. It aims to help developers and security experts understand and address security challenges in the MCP protocol.

A data analysis and research MCP server based on the Gemini Flash 2 AI model, providing functions such as data parsing, intelligent analysis, report generation, and automatic email sending.