Best & Trending MCP Servers
Search and compare MCP servers by category, install guide, and source.
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
Google Search Console Insights with Claude AI for SEOs
A Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories with minimal setup
A Playwright-based Node.js tool that bypasses search engine anti-scraping mechanisms to execute Google searches and extract results.
This MCP server is deprecated and will only receive critical security updates going forward. It has been superseded by the Elastic Agent Builder MCP endpoint, which is available in Elastic 9.2.
Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure.
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
An experimental Model Context Protocol (MCP) server that provides AI assistants with powerful structural code search capabilities using ast-grep.
Search Airbnb using your AI Agent
Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server
A Model Context Protocol (MCP) server implementation that provides Elasticsearch and OpenSearch interaction.
A Model Context Protocol (MCP) server that provides web search functionality using Perplexity AI's API.
A MCP Server for Google Scholar: 🔍 Enable AI assistants to search and access Google Scholar papers through a simple MCP interface.
Manage your Hevy workouts, routines, folders, and exercise templates. Create and update sessions faster, organize plans, and search exercises to build workouts quickly.
MCP server for searching and retrieving Scientific Agent Skills using vector search
Tripo MCP provides an interface between AI assistants and Tripo AI via Model Context Protocol (MCP).
An advanced MCP server that provides intelligent web search capabilities using OpenAI's reasoning models. Perfect for AI assistants that need up-to-date information with smart reasoning capabilities.
I created this project to solve a personal problem: I wanted to manage my Roam Research graph directly from (and other LLMs).
A Model Context Protocol (MCP) server implementation that integrates with multiple search providers for web search, local browser search, URL discovery, and scraping capabilities with agent-browser.
A production-ready Model Context Protocol (MCP) server providing comprehensive search capabilities through SearchAPI.io.
A Model Context Protocol (MCP) server for advanced web research.
This MCP (Model Context Protocol) server provides web search capabilities using the Claude API. It allows LLMs to access up-to-date information from the web through a standardized interface.
The official Model Context Protocol (MCP) server and CLI for Roam Research. Connect Claude, Cursor, and other AI assistants to your Roam graph — read, write, search, and query.
A Python-based agent that integrates research providers with Claude Code through the Model Context Protocol (MCP).