## 🔎 Search

Servers providing web search capabilities or interfacing with specialized search APIs/platforms.

- [kokilabo/pdf-researcher](https://github.com/kokilabo/pdf-researcher): A specialized MCP server designed for searching PDF documents using the Brave Search API.
- [joaomj/deep-search-mcp](https://github.com/joaomj/deep-search-mcp): Facilitates deep web searches using the LinkUp API, offering structured results and customizable search parameters.
- [jarondonp/portfolio-mcp-server](https://github.com/jarondonp/portfolio-mcp-server): Integrates the Brave Search API to offer web and local search capabilities with flexible filtering and smart fallbacks.
- [dealwallet1/meiliseachmcp](https://github.com/dealwallet1/meiliseachmcp): Facilitates seamless interaction with Meilisearch through LLM interfaces, offering dynamic connection management, search capabilities, and comprehensive index and task management.
- [marioalexandreantunes/mcp-search-mojeek](https://github.com/marioalexandreantunes/mcp-search-mojeek): Integrates the Mojeek search engine into an MCP server for privacy-focused and unbiased search results.
- [funwarioisii/perplexity-mcp-rb](https://github.com/funwarioisii/perplexity-mcp-rb): Facilitates web search operations through a Perplexity-based MCP server.
- [help116114/zoomeye-mcp-server](https://github.com/help116114/zoomeye-mcp-server): Facilitates AI assistants in querying internet-wide host and web data via the ZoomEye v2 API.
- [The-AI-Workshops/searxng-mcp-server](https://github.com/The-AI-Workshops/searxng-mcp-server): Integrates SearXNG with MCP to provide AI agents with privacy-focused search capabilities.
- [atskimura/mcp-salesforce-code-search](https://github.com/atskimura/mcp-salesforce-code-search): Facilitates code search across Salesforce official sample repositories with filtering capabilities by component type and file extension.
- [jindasy/mcp-news](https://github.com/jindasy/mcp-news): Facilitates news article retrieval through a FastMCP server utilizing NewsAPI.org for keyword, date range, and source-based searches.
- [jmchat/mcp-search-console-ts](https://github.com/jmchat/mcp-search-console-ts): Manage Google Search Console properties, sitemaps, and search analytics via a Model Context Protocol server.
- [OEvortex/ddg_search](https://github.com/OEvortex/ddg_search): A privacy-focused MCP server that leverages DuckDuckGo for efficient web search and URL content extraction.
- [BochaAI/bocha-search-mcp](https://github.com/BochaAI/bocha-search-mcp): Bocha Search MCP Server empowers AI applications with high-quality knowledge from billions of web pages and diverse content sources, enhancing search capabilities across multiple domains.
- [nitish-raj/searxng-mcp-bridge](https://github.com/nitish-raj/searxng-mcp-bridge): Facilitates search operations by bridging MCP clients with a SearxNG instance.
- [mytechnotalent/RAG_MCP](https://github.com/mytechnotalent/RAG_MCP): A semantic PDF search server utilizing OCR, FAISS, and transformers for intelligent query responses.
- [g-fukurowl/fess-mcp-server](https://github.com/g-fukurowl/fess-mcp-server): Middleware server that integrates with the Fess search engine to enable information retrieval via MCP clients.
- [ayush-rudani/google-search-mcp-server](https://github.com/ayush-rudani/google-search-mcp-server): Integrates with Google's Custom Search JSON API to provide advanced web search capabilities with structured results and rate limiting.
- [alizdavoodi/MCPDocSearch](https://github.com/alizdavoodi/MCPDocSearch): A toolset for crawling websites and generating searchable Markdown documentation via an MCP server, optimized for integration with tools like Cursor.
- [p1atdev/code_search_mcp](https://github.com/p1atdev/code_search_mcp): Facilitates code search functionality through an MCP server setup, enabling efficient code retrieval and analysis.
- [SebastianBoehler/domain-check-mcp](https://github.com/SebastianBoehler/domain-check-mcp): Facilitates domain availability checks and recommendations using IONOS endpoints.
- [Glitchfix/mcp-duckduckgo](https://github.com/Glitchfix/mcp-duckduckgo): Enables LLMs to perform web searches and content retrieval using DuckDuckGo without API keys.
- [mcp-for-dev/mcp-google-search](https://github.com/mcp-for-dev/mcp-google-search): Facilitates web search and content extraction using Google Custom Search API, providing structured results for enhanced data retrieval.
- [302ai/302_web_search_mcp](https://github.com/302ai/302_web_search_mcp): Facilitates web search integration with Claude Desktop through a configurable MCP server.
- [Furafrafrfr/googler](https://github.com/Furafrafrfr/googler): Facilitates Google searches and compiles results using Gemini for command-line use.
- [skeet-build/opensearch](https://github.com/skeet-build/opensearch): Facilitates read-only access to OpenSearch clusters, allowing LLMs to inspect indices and execute queries.
- [qianlima365/zhipu-web-search-mcp](https://github.com/qianlima365/zhipu-web-search-mcp): Facilitates web network searches using Zhipu AI through an MCP tool.
- [RmMargt/searchAPI-mcp](https://github.com/RmMargt/searchAPI-mcp): Facilitates AI assistants in accessing Google Maps, Flights, Hotels, and other services through a unified search API interface.
- [zizzfizzix/mcp-server-indexnow](https://github.com/zizzfizzix/mcp-server-indexnow): Facilitates URL indexing requests via the IndexNow protocol, enhancing content discovery and indexing speed for MCP-compatible clients.
- [preludeorg/windows-rs-mcp](https://github.com/preludeorg/windows-rs-mcp): Facilitates searching the Rust windows crate API documentation using Playwright for seamless interaction with the documentation website.
- [isnow890/naver-search-mcp](https://github.com/isnow890/naver-search-mcp): Facilitates comprehensive search and data trend analysis across Naver services using the Naver Search and DataLab APIs.
- [guchey/mcp-server-google-search-console](https://github.com/guchey/mcp-server-google-search-console): Facilitates access to Google Search Console data through an MCP server, enabling detailed search analytics and customizable reporting.
- [AshlynnLu/search-linkedin-mcp](https://github.com/AshlynnLu/search-linkedin-mcp): Facilitates LinkedIn company profile verification through search, web crawling, and content validation using MCP.
- [torohash/brave-search-sse-mcp](https://github.com/torohash/brave-search-sse-mcp): Facilitates web and local searches via Brave Search API using an SSE-based MCP server.
- [joaomj/openrouter-search-server](https://github.com/joaomj/openrouter-search-server): Facilitates web search capabilities through the OpenRouter API using the MCP protocol.
- [mvkvc/kagi_mcp_local](https://github.com/mvkvc/kagi_mcp_local): Facilitates Kagi Search through a local browser interface, enhancing personal search efficiency.
- [narumiruna/serpapi-mcp](https://github.com/narumiruna/serpapi-mcp): A template for setting up MCP servers with customizable command configurations.
- [ChristianSch/openrouter-websearch-mcp](https://github.com/ChristianSch/openrouter-websearch-mcp): Facilitates web searches using OpenRouter's online models to deliver concise, fact-based answers.
- [kikuchy/pubdev_mcp](https://github.com/kikuchy/pubdev_mcp): Facilitates natural language package search on pub.dev with LLM-powered conversational interactions.
- [0xDAEF0F/job-searchoor](https://github.com/0xDAEF0F/job-searchoor): Facilitates job search with filtering options for remote work and keyword inclusion/exclusion.
- [jonathan-politzki/search-rag](https://github.com/jonathan-politzki/search-rag): A robust MCP server utilizing Apify's RAG Web Browser Actor for web content extraction, enhancing retrieval-augmented generation workflows with LLMs.
- [hieu-blackbox/mcp-brave-search](https://github.com/hieu-blackbox/mcp-brave-search): Integrates the Brave Search API to provide comprehensive web and local search capabilities with smart fallbacks and flexible filtering.
- [tonykonst/brave-search](https://github.com/tonykonst/brave-search): Integrates the Brave Search API for comprehensive web and local search capabilities with smart fallback mechanisms.
- [traylinx/traylinx-search-engine-mcp-server](https://github.com/traylinx/traylinx-search-engine-mcp-server): Facilitates intelligent search capabilities for MCP clients by bridging with the Agentic Search API, offering rich content types and time-filtered results.
- [shopsavvy/shopsavvy-mcp-server](https://github.com/shopsavvy/shopsavvy-mcp-server): Complete product and pricing data solution for AI assistants. Search for products by barcode/ASIN/URL, access detailed product metadata, access comprehensive pricing data from thousands of retailers, view and track price history, and more. Published as `@shopsavvy/mcp-server`.
- [tuningsearch/tuningsearch-mcp-server](https://github.com/tuningsearch/tuningsearch-mcp-server): Facilitates multilingual web searches with real-time news and article retrieval using the TuningSearch API.
- [zbkm/mmnt-mcp-server](https://github.com/zbkm/mmnt-mcp-server): Facilitates search queries and cache retrieval for the Mamont search engine.
- [awesimon/elasticsearch-mcp](https://github.com/awesimon/elasticsearch-mcp): Facilitates natural language interactions with Elasticsearch data through the Model Context Protocol, enabling seamless index management and search operations.
- [Sacode/searxng-simple-mcp](https://github.com/Sacode/searxng-simple-mcp): SearxNG MCP Server enables privacy-focused web search for AI assistants by integrating with the SearxNG metasearch engine.
- [co0ontty/chaitin-ip-intelligence-search-tool](https://github.com/co0ontty/chaitin-ip-intelligence-search-tool): Provides IP profiling and threat alerts using Chaitin's global honeypot network for Mobile Content Providers.
- [bradleygolden/hexdocs-mcp](https://github.com/bradleygolden/hexdocs-mcp): Enhance your AI applications with semantic search capabilities for Hex package documentation using a TypeScript MCP server and Elixir package.
- [egoist/exa-mcp](https://github.com/egoist/exa-mcp): Facilitates seamless integration with Exa Search API through a robust MCP server, sponsored by ChatWise.
- [Evilran/baidu-mcp-server](https://github.com/Evilran/baidu-mcp-server): Provides web search capabilities through Baidu with advanced content fetching and parsing, optimized for large language models.
- [captainChaozi/search-intent-mcp](https://github.com/captainChaozi/search-intent-mcp): Analyze search keywords to determine user intent and support SEO analysis.
- [chick-p/algolia-search-mcp-server](https://github.com/chick-p/algolia-search-mcp-server): Facilitates text search within Algolia indexes using MCP server capabilities.
- [baranwang/mcp-deep-research](https://github.com/baranwang/mcp-deep-research): MCP Deep Research leverages the Tavily API to facilitate web searches through the Model Context Protocol, optimized for prompt-based MCP clients.
- [chenxilol/perplexity-mcp-go](https://github.com/chenxilol/perplexity-mcp-go): A Go-based server enabling LLMs to access Perplexity's search API via MCP, supporting advanced search parameters and real-time results.
- [habuvo/google-search](https://github.com/habuvo/google-search): Facilitates web searches for LLM applications using Google's Custom Search API.
- [Tex76/mcp-websearch](https://github.com/Tex76/mcp-websearch): Enables LLMs to perform web searches and extract dynamic content using Google and Puppeteer.
- [gulihua10010/mcp-mianshiya-server](https://github.com/gulihua10010/mcp-mianshiya-server): A Java-based MCP server for searching interview questions on Mianshiya, compatible with various intelligent assistants.
- [seohyunjun/opensearch-mcp-server](https://github.com/seohyunjun/opensearch-mcp-server): Facilitates document search, index analysis, and cluster management for Opensearch environments.
- [mingdedi/InternetSearch-mcp-server](https://github.com/mingdedi/InternetSearch-mcp-server): Facilitates internet searches using the Bocha Search API, requiring a Bocha AI search service key.
- [mnhlt/WebSearch-MCP](https://github.com/mnhlt/WebSearch-MCP): Enables AI assistants to perform real-time web searches by integrating with a WebSearch Crawler API over stdio transport.
- [Shoofio/brave-search-mcp-sse](https://github.com/Shoofio/brave-search-mcp-sse): Facilitates real-time streaming of Brave Search results to AI models via a centralized MCP/SSE interface, deployable with Docker or Helm.
- [MaartenSmeets/mcp-server-search](https://github.com/MaartenSmeets/mcp-server-search): Facilitates AI models in retrieving real-time web information through Google search integration, ensuring efficient and ethical data access.
- [HuangZeLinCute/github-mcp-server](https://github.com/HuangZeLinCute/github-mcp-server): Facilitates GitHub search operations through an MCP server interface.
- [tisDDM/searxng-mcp](https://github.com/tisDDM/searxng-mcp): Empower AI assistants to conduct privacy-focused web searches using SearXNG with seamless integration and zero-configuration setup.
- [gergelyszerovay/mcp-server-qdrant-retrieve](https://github.com/gergelyszerovay/mcp-server-qdrant-retrieve): Facilitates semantic search using Qdrant vector database for retrieving similar documents across multiple collections.
- [rebers/4o-mini-search-mcp](https://github.com/rebers/4o-mini-search-mcp): Enhance your AI's web search capabilities with a cost-effective MCP server using OpenAI's 4o-mini Search model.
- [appleinmusic/baidu-search-mcp](https://github.com/appleinmusic/baidu-search-mcp): Facilitates intelligent searches using Baidu Wenxin API with support for multiple models and deep search capabilities.
- [aniketkadukar1/search-mcp](https://github.com/aniketkadukar1/search-mcp): Facilitates real-time documentation search for AI/ML libraries within IDEs using asynchronous processing and Tavily API integration.
- [showjason/opensearch-mcp-server](https://github.com/showjason/opensearch-mcp-server): Facilitates seamless integration with OpenSearch by providing tools for index and cluster management, as well as document search capabilities.
- [bmorphism/krep-mcp-server](https://github.com/bmorphism/krep-mcp-server): A high-performance string search utility with MCP integration, leveraging optimized algorithms and multi-threading for efficient pattern searching.
- [Viktor-berg5061/perplexity-serch-v2](https://github.com/Viktor-berg5061/perplexity-serch-v2): Provides web search capabilities using the Perplexity API with seamless integration for MCP-compatible AI assistants.
- [douglarek/unsplash-mcp-server](https://github.com/douglarek/unsplash-mcp-server): Facilitates image search on Unsplash through an MCP server, leveraging the mark3labs/mcp-go library.
- [hellokaton/unsplash-mcp-server](https://github.com/hellokaton/unsplash-mcp-server): Facilitates seamless integration and advanced search capabilities for Unsplash images within applications.
- [kouui/web-search-duckduckgo](https://github.com/kouui/web-search-duckduckgo): Enables web search and content fetching using DuckDuckGo and Jina API without requiring an API key.
- [win4r/arxiv-search-MCP-Server](https://github.com/win4r/arxiv-search-MCP-Server): Facilitates academic paper searches on arXiv with customizable parameters and structured data access.
- [URDJMK/serpapi-mcp-server](https://github.com/URDJMK/serpapi-mcp-server): Enables AI assistants to perform comprehensive search operations across Google and YouTube using MCP servers integrated with SerpAPI.
- [memohib/Web_Search_MCP](https://github.com/memohib/Web_Search_MCP): Enhance AI systems with real-time web search capabilities using the Tavily API integrated with MCP.
- [leehanchung/bing-search-mcp](https://github.com/leehanchung/bing-search-mcp): Integrates Microsoft Bing Search API with AI assistants for web, news, and image searches.
- [bitibi/OpenAI-WebSearch-MCP-Server](https://github.com/bitibi/OpenAI-WebSearch-MCP-Server): Facilitates real-time web searches using OpenAI's Responses API through an MCP server implementation.
- [qwang07/kimi-mcp](https://github.com/qwang07/kimi-mcp): Kimi-mcp leverages Kimi AI's web search capabilities to communicate with MCP clients via standard input/output.
- [nkapila6/mcp-local-rag](https://github.com/nkapila6/mcp-local-rag): A local MCP server enabling RAG-like web search model context without relying on external APIs.
- [tositon/OpenDeepSearch](https://github.com/tositon/OpenDeepSearch): OpenDeepSearch is an open-source research tool leveraging MCP for in-depth analysis and synthesis of complex topics, integrating seamlessly with various MCP clients.
- [ipsiuhang/python-doc-assist-mcp](https://github.com/ipsiuhang/python-doc-assist-mcp): Facilitates Python library documentation retrieval and compatibility checks through a search-first MCP approach.
- [misanthropic-ai/ddg-mcp](https://github.com/misanthropic-ai/ddg-mcp): Provides DuckDuckGo search capabilities through the Model Context Protocol, enabling text, image, news, and video searches, along with AI chat functionalities.
- [alejandro-ao/mcp-server-example](https://github.com/alejandro-ao/mcp-server-example): An educational MCP server implementation demonstrating integration with LLM clients and showcasing standardized context provision for AI applications.
- [YeonwooSung/metasearch-mcp](https://github.com/YeonwooSung/metasearch-mcp): Facilitates metasearch operations using the Tavily API, returning AI-enhanced search results with detailed information.
- [ConechoAI/openai-websearch-mcp](https://github.com/ConechoAI/openai-websearch-mcp): Facilitates real-time web searches via OpenAI's API, enhancing AI assistants with up-to-date information retrieval capabilities.
- [AshDevFr/duckduckgo-mcp-server](https://github.com/AshDevFr/duckduckgo-mcp-server): Node.js server enabling DuckDuckGo web search through Model Context Protocol.
- [tiovikram/openai-websearch-mcp](https://github.com/tiovikram/openai-websearch-mcp): Facilitates real-time web searches for AI models using OpenAI's Web Search API, with features like geographic customization and automatic citations.
- [cnosuke/mcp-search](https://github.com/cnosuke/mcp-search): A Go-based server enabling web search functionality for MCP clients via the Brave Search API.
- [w-jeon/mcp-brave-search](https://github.com/w-jeon/mcp-brave-search): Integrates the Brave Search API to provide comprehensive web and local search capabilities with smart fallbacks and flexible filtering.
- [zhsama/duckduckgo-mcp-server](https://github.com/zhsama/duckduckgo-mcp-server): A TypeScript-based server enabling DuckDuckGo search functionality with integrated rate limiting and error handling.
- [spences10/mcp-omnisearch](https://github.com/spences10/mcp-omnisearch): MCP Omnisearch integrates multiple search engines, AI tools, and content processing services into a single interface for comprehensive search and enhancement capabilities.
- [modelcontextprotocol-servers/google-search-mcp](https://github.com/modelcontextprotocol-servers/google-search-mcp): A Playwright-based tool that performs Google searches, bypassing anti-bot mechanisms, and integrates with AI assistants for real-time search capabilities.
- [cnosuke/mcp-meilisearch](https://github.com/cnosuke/mcp-meilisearch): Go-based wrapper enabling Meilisearch search engine to function as a Model Context Protocol server for LLMs like Claude.
- [gabrimatic/mcp-web-search-tool](https://github.com/gabrimatic/mcp-web-search-tool): Empowers AI models with real-time web search capabilities through a modular MCP server integrated with the Brave Search API.
- [algonacci/mcp-tavily-search](https://github.com/algonacci/mcp-tavily-search): Empowers clients with internet search capabilities through a configurable MCP server.
- [buger/probe](https://github.com/buger/probe): An AI-friendly, fully local semantic code search engine that integrates with AI editors via MCP server mode for efficient codebase exploration.
- [spences10/mcp-embedding-search](https://github.com/spences10/mcp-embedding-search): Facilitates vector similarity search in transcript databases using a Turso backend, enabling users to find relevant segments by querying embeddings.
- [ilyazub/serpapi-mcp-server](https://github.com/ilyazub/serpapi-mcp-server): Integrates with SerpApi to fetch and parse search engine results for seamless interaction with MCP clients.
- [josemartinrodriguezmortaloni/webSearch-Tools](https://github.com/josemartinrodriguezmortaloni/webSearch-Tools): A Python-based tool for advanced web search and content extraction, seamlessly integrating with Claude for Desktop via MCP server.
- [suhail-ak-s/mcp-typesense-server](https://github.com/suhail-ak-s/mcp-typesense-server): Empower AI models with Typesense search capabilities, enabling efficient data discovery and analysis within Typesense collections.
- [devlimelabs/meilisearch-ts-mcp](https://github.com/devlimelabs/meilisearch-ts-mcp): Facilitates AI-driven interactions with Meilisearch through a standardized MCP interface, offering comprehensive index, document, and search management capabilities.
- [nickclyde/duckduckgo-mcp-server](https://github.com/nickclyde/duckduckgo-mcp-server): Enhance your web search capabilities with this MCP server, offering DuckDuckGo integration, intelligent content parsing, and LLM-friendly output.
- [NightTrek/Serper-search-mcp](https://github.com/NightTrek/Serper-search-mcp): Provides Google search capabilities and AI-powered deep research tools for MCP-enabled applications using the Serper API.
- [kevinwatt/mcp-server-searxng](https://github.com/kevinwatt/mcp-server-searxng): Integrates with SearXNG to offer privacy-focused meta search capabilities across multiple engines.
- [wysh3/perplexity-mcp-zerver](https://github.com/wysh3/perplexity-mcp-zerver): A TypeScript-based MCP server enabling AI-driven research through Perplexity's web interface without API keys, featuring browser automation and persistent chat capabilities.
- [fengin/search-server](https://github.com/fengin/search-server): A Python-based MCP server offering seamless integration with Cursor and Claude Desktop for multi-engine search capabilities, supporting Brave, Metaso, and Bocha search engines.
- [afrise/academic-search-mcp-server](https://github.com/afrise/academic-search-mcp-server): Facilitates real-time academic paper searches and metadata retrieval from Semantic Scholar and Crossref for Claude Desktop integration.
- [jaacob/perplexity-mcp](https://github.com/jaacob/perplexity-mcp): Enables Claude Desktop to perform web searches using Perplexity's API for enhanced information retrieval.
- [adenot/mcp-google-search](https://github.com/adenot/mcp-google-search): Facilitates web searches and webpage content extraction using Google Custom Search API.
- [arben-adm/brave-mcp-search](https://github.com/arben-adm/brave-mcp-search): Facilitates integration with AI assistants by enabling Brave Search capabilities through an MCP server.
- [Claw256/mcp-web-search](https://github.com/Claw256/mcp-web-search): Facilitates Google search and web content viewing with advanced bot detection avoidance, leveraging rebrowser-puppeteer for seamless integration.
- [spences10/mcp-jinaai-search](https://github.com/spences10/mcp-jinaai-search): Integrates Jina.ai's Search API with LLMs for efficient web search and clean content retrieval.
- [spences10/mcp-duckduckgo-search](https://github.com/spences10/mcp-duckduckgo-search): Integrates DuckDuckGo search capabilities with LLMs, offering comprehensive web search functionality with various result types and filtering options.
- [madarco/ragrabbit](https://github.com/madarco/ragrabbit): RagRabbit is a self-hosted AI search and LLM integration platform that enables seamless content crawling and indexing with an MCP server for enhanced documentation retrieval.
- [spences10/mcp-perplexity-search](https://github.com/spences10/mcp-perplexity-search): Integrates Perplexity's AI API with LLMs for advanced chat completion using specialized prompt templates.
- [apappascs/tavily-search-mcp-server](https://github.com/apappascs/tavily-search-mcp-server): Integrates the Tavily Search API to enhance search capabilities for LLMs with domain filtering and content extraction.
- [spences10/mcp-kagi-search](https://github.com/spences10/mcp-kagi-search): Access Kagi's premium search and AI capabilities through a Model Context Protocol server, offering ad-free, privacy-focused search results and AI-powered responses with source citations.
- [spences10/mcp-tavily-search](https://github.com/spences10/mcp-tavily-search): Integrates Tavily's search API with LLMs for intelligent web search and context generation.
- [codingthefuturewithai/rag-retriever](https://github.com/codingthefuturewithai/rag-retriever): RAG Retriever enhances AI coding assistants by indexing diverse content sources for semantic search, with MCP integration for seamless AI tool compatibility.
- [y7ut/mcp-tavily-search](https://github.com/y7ut/mcp-tavily-search): Facilitates keyword-based news searches with customizable parameters using the Tavily MCP server.
- [Sheshiyer/jina-ai-mcp-multimodal-search](https://github.com/Sheshiyer/jina-ai-mcp-multimodal-search): Facilitates seamless integration with Jina AI's neural search capabilities, offering semantic, image, and cross-modal search functionalities.
- [arben-adm/tavily-mcp-search](https://github.com/arben-adm/tavily-mcp-search): A robust MCP server leveraging the Tavily API for high-quality, reliable search results across business, news, finance, and politics.
- [Lorhlona/geminiserchMCP](https://github.com/Lorhlona/geminiserchMCP): Generates responses using the Gemini API and Google Search, designed for integration with AI assistants.
- [btwiuse/npm-search-mcp-server](https://github.com/btwiuse/npm-search-mcp-server): Facilitates npm package searches through an MCP server interface, enabling seamless integration with tools like Claude and Zed.
- [pskill9/web-search](https://github.com/pskill9/web-search): Facilitates free web searches using Google results without requiring API keys, returning structured data for easy integration.
- [apridachin/brave-search-mcp](https://github.com/apridachin/brave-search-mcp): Facilitates web searches using the Brave Search API through an MCP server.
- [apridachin/kagi-search-mcp](https://github.com/apridachin/kagi-search-mcp): Facilitates web searches using the Kagi API to enhance model context with web and news content.
- [meilisearch/meilisearch-mcp](https://github.com/meilisearch/meilisearch-mcp): Facilitates seamless interaction with Meilisearch through LLM interfaces, offering dynamic connection management, smart search capabilities, and comprehensive API key and task management.
- [ihor-sokoliuk/mcp-searxng](https://github.com/ihor-sokoliuk/mcp-searxng): Integrates the SearxNG API to provide web search capabilities with pagination through an MCP server.
- [mixelpixx/Google-Search-MCP-Server](https://github.com/mixelpixx/Google-Search-MCP-Server): Empower AI models with advanced Google search and webpage content analysis capabilities through a robust MCP server.
- [nexon33/search-fetch-server-mcp](https://github.com/nexon33/search-fetch-server-mcp): A TypeScript-based MCP server implementing a notes system with tools for creating notes, fetching URLs, and performing DuckDuckGo searches.
- [limklister/mcp-google-custom-search-server](https://github.com/limklister/mcp-google-custom-search-server): Facilitates web searches via Google's Custom Search API for Language Learning Models using a standardized MCP interface.
- [mamertofabian/mcp-everything-search](https://github.com/mamertofabian/mcp-everything-search): Facilitates cross-platform file searching with platform-specific optimizations using the Everything SDK on Windows, Spotlight on macOS, and locate on Linux.
- [it-beard/exa-server](https://github.com/it-beard/exa-server): AI-powered code search using Exa API for intelligent retrieval in AI assistants.
- [it-beard/tavily-server](https://github.com/it-beard/tavily-server): Empowers AI assistants with advanced search capabilities through the Tavily API, offering rich results and comprehensive search history management.
- [SecretiveShell/MCP-searxng](https://github.com/SecretiveShell/MCP-searxng): Connects agentic systems to search systems using searXNG for web searches.
- [Lincest/mcp-papersearch](https://github.com/Lincest/mcp-papersearch): Facilitates searching Arxiv papers using the Model Context Protocol.
- [kagisearch/kagimcp](https://github.com/kagisearch/kagimcp): Facilitates Kagi search and summarization tasks through a Model Context Protocol server, integrating with tools like Claude Desktop.
- [wavelovey/pubmed_search](https://github.com/wavelovey/pubmed_search): Facilitates PubMed searches and note management through an MCP server with customizable summarization prompts.
- [letsbuildagent/perplexity-tool](https://github.com/letsbuildagent/perplexity-tool): Integrates Perplexity AI's API with Claude Desktop for web-based research and citation-enhanced answers.
- [anpigon/mcp-server-obsidian-omnisearch](https://github.com/anpigon/mcp-server-obsidian-omnisearch): Facilitates seamless search within Obsidian vaults via a REST API, returning absolute paths to matching notes for easy integration.
- [RamXX/mcp-tavily](https://github.com/RamXX/mcp-tavily): Empower LLMs with AI-driven web search capabilities using Tavily's search API for comprehensive and direct answer retrieval.
- [gowtham3105/mcp_server_opensearch](https://github.com/gowtham3105/mcp_server_opensearch): Facilitates note storage and summarization with a custom URI scheme and prompt-based summarization tool.
- [kiendoantrung/ddg-server](https://github.com/kiendoantrung/ddg-server): Enables web search capabilities through DuckDuckGo using the Model Context Protocol.
- [exa-labs/exa-mcp-server](https://github.com/exa-labs/exa-mcp-server): Empower AI assistants to perform real-time web searches using Exa's API, providing structured results and caching capabilities.
- [mybuddyandrew/rails_api_search](https://github.com/mybuddyandrew/rails_api_search): Facilitates efficient search across Rails API documentation with comprehensive support for all major framework components.
- [fatwang2/search1api-mcp](https://github.com/fatwang2/search1api-mcp): Facilitates search and crawl operations using Search1API, offering seamless integration with various MCP clients.