"Projects that showcase advanced GitHub repository search techniques" matching MCP servers:

Provides an MCP server for scraping and retrieving data from GitHub Projects, including issues, pull requests, and organizational metadata. It enables natural language interaction with project boards and repository contents using GitHub Personal Access Tokens.

Provides AI agents with professional-grade SEO capabilities including on-page analysis, technical audits, PageSpeed insights, and Ahrefs data integration.

Enables AI assistants to control Chrome using real user profiles, providing undetectable automation with over 40 tools for navigation, data extraction, and interaction.

Provides AI agents and RAG pipelines with production-grade web search, deep research, news, academic, extraction, crawling, and source verification tools. Enables citation-anchored, deduplicated, fresh, and security-hardened evidence gathering from across the web.

Provides an MCP server that enables web search and page extraction across multiple providers with automatic failover and quota rotation, plus a local dashboard for managing keys, engine order, and request history.

Enables broad web search for current, time-sensitive information, returning short title, URL, and snippet results rather than full pages. It supports region and result-count parameters through a keyless multi-engine backend.

A privacy-focused search server built on SearXNG that provides unlimited, multi-source web searching across 100+ engines. It enables AI tools to perform advanced searches with specialized filters for time, language, and content categories without API costs or rate limits.

A powerful Model Context Protocol (MCP) server that provides enhanced Google search capabilities with advanced anonymization and anti-detection features.

A Model Context Protocol server that enables web searching using the Serper API for Google search results, with optional web page content fetching.

Enables Yandex search with advanced content extraction, analysis, and LLM-context formatting through a Model Context Protocol server.

Enables AI agents to perform web search, extraction, and research across multiple provider backends with persistent multi-key rotation and auditable routing. Supports MCP, CLI, and Agent Skill entry points.

Enables one-call parallel querying across multiple search engines, aggregating and deduplicating results while automatically falling back to mainland engines when overseas sources are unreachable.

Provides keyless, privacy-focused web search through DuckDuckGo and SearxNG via MCP, with token-efficient tool discovery and caching.

Enables searching and discovering existing MCP servers from the official GitHub repository, with features like dynamic data scraping and configurable caching.

Aggregates security research articles from WeChat, QAX Butian, and Xianzhi community, with optional KimiCode web search. Supports smart deduplication, article fetching, and anti-bot measures.

Privacy-respecting, self-hosted metasearch MCP server that aggregates results from multiple search engines and fetches page content as Markdown.

Enables AI-powered search capabilities through Perplexity AI's continuously refreshed index. Supports web, academic, and SEC search modes with advanced filtering options including geographic location and customizable result limits.

A local MCP server that gives Claude Code web search capabilities using DuckDuckGo, enabling discovery of URLs from natural language queries.

Enables finding information online, reading web pages, finding images, capturing screenshots, and performing multi-source research with per-answer confidence.

A local-first, no-API-key MCP server that enables LLMs to search the web, fetch pages, and read documents using multiple engines and smart fallbacks.