Context7 integrates current, version-specific documentation and code examples directly into your LLM's context, eliminating outdated information and hallucinations. It's ideal for developers needing precise, up-to-date API details, configuration, or code snippets for any library or framework.

GitNexus transforms any codebase into a detailed knowledge graph, mapping dependencies, call chains, and execution flows. This provides AI agents with deep architectural awareness, significantly improving their reliability for complex development tasks. It is particularly effective for developers using AI assistants to navigate, debug, and refactor large codebases with precision.

This repository provides a collection of standardized Agent Skills for AI/ML tasks, including model training, evaluation, and dataset management on the Hugging Face Hub. It is designed for developers using coding agents like Claude Code, Codex, or Gemini CLI to streamline complex machine learning workflows.

This MCP server integrates with Firecrawl to enable AI agents to search the web, scrape structured data from any URL, and interact with web pages. It is ideal for providing real-time, dynamic web context to LLMs, facilitating deep research and autonomous agent operations.

This MCP server integrates AI assistants with Exa's specialized search engine, providing real-time access to web, code, and company data. It is ideal for AI agents requiring up-to-date external information for research, analysis, or contextual understanding.

This MCP server allows AI assistants to programmatically search, download, and access content from arXiv's research repository. It's ideal for AI agents needing to perform research, analyze scientific papers, or monitor new publications in specific fields.

The Web MCP by Bright Data connects LLMs to the live web, providing real-time data access and browser automation while ensuring agents never get blocked. It's ideal for building AI agents that require up-to-date information for research, market analysis, or specialized tasks like package data lookup and brand visibility monitoring.

Octocode is an MCP server that enhances AI assistants with deep code understanding by integrating GitHub, GitLab, and local LSP intelligence. It excels at providing comprehensive context for AI-driven development, research, and complex code analysis tasks.

This MCP server connects AI assistants to SearXNG, enabling privacy-respecting web search and advanced URL content extraction. It's ideal for agents needing to browse current web information or analyze specific page content without relying on commercial search providers.

This MCP integrates TikTok access into Claude AI, enabling detailed analysis of video virality factors, content extraction, and conversational interaction with TikTok videos. It's ideal for researchers, marketers, and content creators looking to leverage AI for TikTok insights and content repurposing.

This MCP server integrates the Shodan API and CVEDB, offering comprehensive access to network intelligence and security services. It's ideal for AI agents needing structured data for IP reconnaissance, DNS operations, vulnerability tracking, and device discovery.

This Model Context Protocol (MCP) server integrates with VirusTotal, providing comprehensive security analysis tools with automatic relationship data fetching. It is ideal for developers and security professionals needing detailed threat intelligence and malware analysis directly within their AI-assisted development environment.

This skill provides comprehensive Kaggle integration for AI coding agents like Claude Code. It automates account setup, generates competition landscape reports, facilitates dataset and model downloads, executes notebooks, and manages competition submissions. Key features include hackathon writeup retrieval, systematic badge collection, and direct access to 66 Kaggle MCP tools. It emphasizes security with robust credential handling and prompt-injection guards, ensuring safe interaction with Kaggle resources.

This Claude MCP server enables natural language search on Twitter (now X), allowing users to find tweets by keywords, users, dates, and engagement metrics. It's ideal for researchers and developers who need to gather specific social media data or analyze public sentiment directly within their Claude workflow.

This MCP server exposes tools for AI assistants to query and retrieve topic-specific knowledge from recursively crawled web pages and GitHub repositories (issues, discussions). It acts as a bridge between diverse, topic-aware content sources and AI-powered reasoning, enabling richer, more accurate answers. Designed for RAG with RAG, it provides high-quality, topic-specific documents as grounding context and is built using AI itself, making it an AI-native component for intelligent knowledge retrieval.

This MCP server provides a comprehensive suite of 51 specialized tools and 8 methodology prompts across various security testing domains. It is ideal for security professionals and developers performing penetration testing, network forensics, memory analysis, and vulnerability assessments.