Model Context Protocol server that enables LLMs to interact with X.com (formerly Twitter) through OAuth 2.0 authentication, supporting major Post-related operations including reading, writing, searching, and managing posts, likes, retweets, and bookmarks.
An MCP server that enables AI models to search the web using OpenAI's 4o-mini Search model, allowing access to up-to-date information for just a few cents per search.
Provides an MCP protocol interface for interacting with Elasticsearch 7.x databases, supporting comprehensive search functionality including aggregations, highlighting, and sorting.
A Python MCP server that enables semantic search through Search Labs blog posts indexed in Elasticsearch, allowing Claude to intelligently retrieve relevant information from the blog content.
Enables users to interact with X (Twitter) through the X API. Supports posting tweets, retrieving user timelines, searching tweets, and replying to tweets with comprehensive error handling.
Enables complete management of X (Twitter) accounts through a single API key, supporting functions like getting tweets, searching, generating and posting replies.
A lightweight toolkit that enables Claude to search Twitter with natural language queries and display results based on user intent, supporting features like tweet filtering, pagination, and flexible output formatting.
A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.
An enhanced Model Context Protocol server that enables Claude to interact with Twitter/X, supporting tweet posting, searching, and deletion with both OAuth 1.0a and OAuth 2.0 authentication methods.
Integrates Tavily's search API with LLMs to provide advanced web search capabilities, including intelligent result summaries, domain filtering for quality control, and configurable search parameters.
Provides access to Naver Search APIs, allowing AI agents to search across multiple categories (blogs, news, books, images, shopping items, etc.) with structured responses optimized for LLM consumption.
Enables integration with DuckDuckGo search capabilities for LLMs, supporting comprehensive web search, regional filtering, result types, and safe browsing with caching and customizable search parameters.
Provides grocery price and nutritional information search capabilities, allowing AI agents to search for food products, compare prices, and analyze nutritional content across different grocery stores.
Provides Google Search functionality for AI models using Gemini's built-in Grounding with Google Search feature, returning real-time web search results with source citations.
Enables AI systems to perform full-text and semantic search operations over structured/unstructured data in Azure Cognitive Search, with capabilities for document indexing and management through natural language.
The Search MCP Server enables seamless integration of network and local search capabilities in tools like Claude Desktop and Cursor, utilizing the Brave Search API for high-concurrency and asynchronous requests.
A powerful MCP server that enables parallel Google searching with multiple keywords simultaneously, providing structured results while handling CAPTCHAs and simulating user browsing patterns.
Provides search functionality for arXiv.org papers through the official arXiv API, allowing users to search papers by keywords, filter by subject categories and date ranges, and receive comprehensive metadata including PDF links.
An MCP Server that provides access to Google's Search Console API, allowing users to interact with website search performance data and manage search presence through natural language.