The Exa MCP Server is a server that provides web search capabilities for AI assistants (such as Claude), enabling real-time and secure web information retrieval through the Exa AI Search API.

The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.

An MCP server based on the Perplexity AI API, providing web search functionality for the Claude desktop client.

An MCP server for integrating Microsoft Bing Search API, supporting web page, news, and image search functions, providing network search capabilities for AI assistants.

The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.

The Apify MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with various Actors on the Apify platform through SSE or Stdio to perform tasks such as data scraping and web search.

ReActMCP Web Search is an MCP server integrated with the Exa API, providing real-time web search functionality for AI assistants, supporting basic search and advanced filtering options, and returning results in Markdown format.

SearchAPI-MCP-Server is a search API server based on the MCP protocol, providing a standardized access interface to services such as Google Search, Maps, Flights, and Hotels, serving as a bridge between AI assistants and search services.

The Linkup MCP Server is a server based on the Model Context Protocol, providing real-time web search and web page content scraping functions through the Linkup API, enabling AI assistants to access the latest information on the Internet.

This project implements an MCP server integrated with the TMDB API, providing movie data interaction functions for AI assistants, including searching, getting details, and generating related content.

An MCP server based on the Gemini API and Google Search, which provides intelligent answering functions for the latest information when used in conjunction with an AI assistant (such as Cline).

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.

An MCP service that connects to the Giphy API, providing GIF search, random retrieval, and trending content functions for AI models.

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 Oxenstierna project aims to provide functions for searching, obtaining, and analyzing archive content by integrating multiple APIs (such as OAIPMH, IIIF, and Search API) of the Swedish National Archives, including the HTR (Handwritten Text Recognition) process and image processing.

The Yandex Tracker MCP Server is a Model Context Protocol service that enables AI assistants to interact with the Yandex Tracker API, supporting queue management, user management, issue operations, and advanced search functions, and providing secure authentication access and performance caching.

WebSearch-MCP is a service that implements the Model Context Protocol (MCP). It provides web search capabilities by integrating the WebSearch Crawler API and supports multiple AI clients to obtain web information in real-time.

Reddit MCP Buddy is a Reddit browsing tool designed for AI assistants. It allows you to quickly browse Reddit posts, search for content, and analyze user activities without an API key, and supports multiple authentication methods to increase the request limit.

An MCP server that connects to the Obsidian knowledge base. Through the REST API plugin, AI agents can perform complex knowledge discovery and analysis tasks, supporting functions such as advanced search, regular expression matching, and full - text retrieval.

This project implements a Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with Substack newsletters, articles, and authors through a standardized interface. It is based on the Substack API library and provides functions such as getting article content, searching for newsletters, and querying author information.

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.

Search-Scrape is a completely free web search and content scraping tool designed for AI assistants, no API key is required, and it supports advanced search parameters and intelligent content extraction.

Exa Pool MCP is a lightweight MCP server that encapsulates the Exa Pool API into a toolset that can be called by AI assistants, facilitating users to conduct searches and content retrieval through tools like Claude.

An MCP server integrated with the HackerNews API, providing functions such as searching for posts, getting details, user analysis, trend tracking, and comment analysis to help AI assistants efficiently access and understand HackerNews content.

An MCP server implementation integrating the Perplexity AI API, providing advanced search functions and multi - model support.

The Perplexity MCP Server is an intermediate server written in Go that provides AI assistants (such as Claude and Cursor) with seamless access to the Perplexity API, including real-time search and complex reasoning functions.

An MCP server based on the Open Library API, providing book and author information query functions for AI assistants, supporting searching for books by title, searching for authors by name, obtaining detailed author information and photo URLs, as well as book cover URLs.

OneTool is a unified MCP server that exposes over 100 tools through the Python API, significantly reducing token consumption and cost when AI calls tools, avoiding context pollution, and supporting multiple functions such as web search, database, file operations, and chart drawing.

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.

An advanced Obsidian MCP server that interacts with Obsidian through the Local REST API plugin, enabling AI agents to deeply understand the knowledge base structure, links, and content, and providing functions such as file operations, search, note management, and knowledge base analysis.

The remote MCP server provided by Jina AI offers functions such as web content extraction, web search, academic search, image search, query expansion, document re - sorting, and deduplication through the Reader, Embeddings, and Reranker APIs.

Context Lens is a local semantic search tool that can convert any content into a searchable knowledge base, enabling AI assistants to understand the meaning rather than just match keywords. It uses a built - in LanceDB vector database, supports local files, GitHub repositories, and URL content, does not require an API key or cloud service, and processes data completely locally.

An MCP server that provides AI assistants with access to Gemini API documentation, supporting local reading and searching of documents.

KiMCP is a server project based on the Model Context Protocol (MCP), aiming to integrate local Korean APIs (such as Naver, Kakao, TMAP, etc.) into LLM applications, providing various service functions including blog search, news retrieval, and map navigation.

This is a server project based on Model Context Protocol (MCP), aiming to integrate with Kakao Mobility and Kakao Map APIs to provide route planning and location search services suitable for the South Korean environment.

YouTube MCP is an AI-based solution designed to enhance the YouTube content interaction experience through machine learning technology. It supports video search, subtitle access, and semantic search without using the official API.

An MCP server integrated with the HackerNews API, providing functions such as searching for posts, obtaining details, user analysis, trend tracking, and comment analysis to help AI assistants efficiently access and understand HackerNews content.

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.

The Docmost MCP server is an MCP service that provides AI assistants with direct access to self-hosted Docmost documents, enabling functions such as listing document spaces, full-text search, and obtaining page content through the API.

This project implements a document retrieval server based on the Model Context Protocol (MCP), which can dynamically obtain the latest official documentation content of Python libraries for AI assistants. It supports libraries such as LangChain, LlamaIndex, and OpenAI, conducts efficient searches through the SERPER API, and uses BeautifulSoup to parse HTML content. The project is designed to be extensible, facilitating the addition of support for more libraries.