Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.

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.

OpenDeepSearch is an open - source research tool and an alternative to Perplexity Deep Research. It provides in - depth search and research capabilities through the Model Context Protocol (MCP). It can break down complex problems into sub - problems, perform multiple rounds of searches using the Brave Search API, analyze the results, and generate structured research reports. It supports citation of sources and can be integrated into MCP clients such as Claude Desktop and Cursor.

GhidraMCP is a Ghidra plugin that enables AI - assisted binary analysis through the Model Context Protocol (MCP), connecting reverse engineering with AI assistants and providing functions such as natural language interaction, in - depth code analysis, and security vulnerability detection.

The Vectorize MCP Server is a model context protocol server integrating the Vectorize service, providing functions such as vector retrieval, text extraction, and in - depth research.

OmniMCP is a tool that provides rich UI context and interaction capabilities for AI models through the Model Context Protocol (MCP) and OmniParser. It focuses on achieving in - depth understanding of the user interface through visual analysis, structured planning, and precise interaction execution.

An MCP server that combines Claude Code and Google Gemini AI to achieve in - depth code analysis through multi - model collaboration. Claude is good at local context operations and CLI workflows, while Gemini uses its ultra - large context window for distributed system debugging and long - trace analysis.

An MCP server that allows Claude Code to consult more powerful AI models (such as o3, Gemini 2.5 Pro, DeepSeek Reasoner) when in need of in - depth analysis of complex problems.

OmniMCP is a project that provides rich UI context and interaction capabilities for AI models through the Model Context Protocol (MCP) and OmniParser. It supports functions such as visual perception, LLM planning, and action execution, enabling in - depth understanding and precise interaction with the user interface.

An AI research assistant tool based on Node.js and the Gemini API. It uses Firecrawl for web data scraping, leverages the Gemini large - model for in - depth language understanding and report generation, supports iterative in - depth research, and can be integrated with the MCP protocol.

Crawl4AI is an intelligent web crawler server based on the MCP architecture. It combines the Claude AI model to provide website content analysis and processing functions, supports customizable crawling depth and AI processing tasks, and is suitable for various scenarios such as research, content creation, and data analysis.

The PubMed MCP Server is a bridging service that provides AI assistants with access to the PubMed biomedical literature library via the Model Context Protocol (MCP), supporting literature search, metadata acquisition, and in - depth analysis functions.

The MCP STL 3D Relief Generator is a tool that converts 2D images into 3D relief models, supporting functions such as controlling model size, adding a base, and depth inversion. It is suitable for 3D printing and rendering.

Firecrawl MCP Server is a model context protocol server that integrates Firecrawl's web crawling capabilities, providing functions such as web scraping, crawling, searching, content extraction, and in - depth research, and supporting features such as JavaScript rendering, URL discovery, batch processing, and automatic retry.

The Perplexity MCP Server is an intelligent research assistant that uses Perplexity's dedicated AI model to automatically detect query complexity and route requests to the most appropriate model for the best results. It supports three tools: search, reasoning, and in - depth research, suitable for query tasks of different complexities.

The MCP Deep Web Research Server is an advanced web research tool based on the Model Context Protocol, providing intelligent search queues, enhanced content extraction, and in - depth research capabilities, and can integrate real - time information into Claude.

The Perplexity MCP Server is an intelligent research assistant that uses Perplexity's dedicated AI models to automatically select the best model for answering based on query complexity. It supports three tools: quick search, complex reasoning, and in - depth research, suitable for query needs of different complexities.

An MCP server that integrates the Perplexity AI search - enhanced language model with the Claude desktop, providing three tools of different complexity levels, suitable for quick queries, technical analysis, and in - depth research scenarios.