Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.

Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.

The ArXiv MCP Server is a bridge connecting AI assistants with the arXiv research library, enabling paper search and content access through the MCP protocol.

MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.

The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants

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.

Desktop Commander MCP is an AI assistant tool that enables the Claude desktop application to execute terminal commands and manage the file system. It supports functions such as code search, editing, process management, and remote file reading.

Coco AI is a unified search platform that integrates enterprise applications and data (such as Google Workspace, Dropbox, GitHub, etc.), providing cross-platform search and AI-driven team chat functions, aiming to improve work efficiency and collaboration experience.

Redis MCP Server is a natural language interface service designed for Redis, supporting AI agents to query and manage Redis data through natural language, integrating the MCP protocol, and providing multiple data structures and search functions.

The Perplexity MCP Server is an intelligent research assistant that uses Perplexity's AI model to automatically analyze query complexity and select the best model to process requests. It supports three tools: search, reasoning, and in - depth research.

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.

Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.

MCP service for Airbnb listing search and details query

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.

The Perplexity MCP Server is an intelligent research assistant that uses Perplexity's AI model to provide automatic query complexity detection and optimal model routing functions, supporting three tools: search, reasoning, and in - depth research.

MCP-Mem0 is a template implementation that provides long-term memory functions for AI agents, integrating the Model Context Protocol (MCP) server and Mem0, supporting memory storage, retrieval, and semantic search.

A local server based on the MCP protocol that implements semantic search and RAG functions for Apple Notes, which can be called by AI assistants such as Claude.

A Node.js tool based on Playwright that can bypass search engine anti - scraping mechanisms to perform Google searches and extract results. It can be used as a command - line tool or an MCP server to provide real - time search capabilities for AI assistants.