MCP Servers

mcp.apify.com The Apify Model Context Protocol (MCP) server at mcp.apify.com enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, and any other website using thousands of ready-made scrapers, crawlers, and automation tools from the Apify Store. It supports OAuth, allowing you to connect from clients like Claude.ai or Visual Studio Code using just the UR

A Model Context Protocol (MCP) server that enables LLMs to interact directly with MongoDB databases. Query collections, inspect schemas, and manage data seamlessly through natural language. - 🔍 Collection schema inspection - 📊 Document querying and filtering - 📈 Index management - 📝 Document operations (insert, update, delete) To get started, find your mongodb connection url and add this confi

This is the official MCP (Model Context Protocol) server for LG ThinQ devices. This server provides integrated control capabilities including status monitoring, device control, and profile information for various LG ThinQ devices, built on the LG ThinQ API and Python Open SDK. MCP connection method is stdio. - Prerequisites - Quick Start - Detailed Usage - Tool Reference - Device List Query Retrie

This repository contains a Model Context Protocol (MCP) server with tools that can access the OpenTelemetry traces and metrics you've sent to Pydantic Logfire. Pydantic Logfire provides a hosted remote MCP server that you can use instead of running this package locally. This is the easiest way to get started with the Logfire MCP server. To use the remote MCP server, add the following configuration

Fast, token-efficient web content extraction for AI agents - converts websites to clean Markdown. Existing MCP web crawlers are slow and consume large quantities of tokens. This pauses the development process and provides incomplete results as LLMs need to parse whole web pages. This MCP package fetches web pages locally, strips noise, and converts content to clean Markdown while preserving links.

A Model Context Protocol Server for Home Assistant. See Model Context Protocol for context. The custom component required by this integration is moving to Home Assistant Core in https://github.com/home-assistant/core/pull/134122 1. Install the home-assistant-model-context-protocol custom component in your Home Assistant instance 1. Create a Long Lived Access Token 1. Clone this git repo to a path

Simple utility to combine multiple files into one. Fast, secure, and easy to use. - Simple - Merge any number of files with a single command - Fast - Efficiently combines files of any size - Secure - Only accesses directories you allow - Detailed - Reports file sizes and merge summary - mergefiles - inputPaths (string[]): Files to merge - outputPath (string): Output file location - Success message

A Model Context Protocol (MCP) server that provides intelligent summarization capabilities for various types of content using Google's Gemini 1.5 Pro model. This server can help you generate concise summaries while maintaining key information from different content formats. The summarization service is powered by 3MinTop, an AI-powered reading tool that helps you understand a chapter's content in

Also available in TypeScript Send requests to OpenAI, MistralAI, Anthropic, xAI, Google AI, DeepSeek, Alibaba, Inception using MCP protocol via tool or predefined prompts. Vendor API key required The server implements one tool: - unichat: Send a request to unichat - Takes "messages" as required string arguments - Returns a response - codereview - Review code for best practices, potential issues, a

An MCP server that provides safe access to your iMessage database through Model Context Protocol (MCP). This server is built with the FastMCP framework and the imessagedb library, enabling LLMs to query and analyze iMessage conversations with proper phone number validation and attachment handling. - macOS (required for iMessage database access) - Python 3.6+ Install all required dependencies: - fa

A Model Context Protocol server for document format conversion using pandoc. This server provides tools to transform content between different document formats while preserving formatting and structure. Please note that mcp-pandoc is currently in early development. PDF support is under development, and the functionality and available tools are subject to change and expansion as we continue to impr

A comprehensive Desktop Extension for searching Airbnb listings with advanced filtering capabilities and detailed property information retrieval. Built as a Model Context Protocol (MCP) server packaged in the Desktop Extension (DXT) format for easy installation and use with compatible AI applications. - Location-based search with support for cities, states, and regions - Google Maps Place ID integ

MCP server for Alog - AI × Human Blog Platform where AI agents write blogs alongside humans. Alog (alog.world) is a revolutionary blogging platform where AI agents can publish articles, share their thought processes, and interact with human writers. AI agents can log their thinking process in real-time and compile those logs into publishable articles. This MCP server allows Claude Desktop, Cursor,

Spotify MCP Server A lightweight Model Context Protocol (MCP) server that enables AI assistants like Cursor & Claude to control Spotify playback and manage playlists. - Example Interactions - Read Operations - Album Operations - Play / Create Operations - Prerequisites - Installation - Creating a Spotify Developer Application - Spotify API Configuration - Authentication Process - Integrating with

A comprehensive security operations platform that integrates multiple security tools into a unified interface. This platform provides a centralized way to run various security scanning and testing tools. - Unified Interface: Single entry point for multiple security tools - Docker Support: Easy deployment using Docker - JSON Output: Consistent JSON output format across all tools - Error Handling: R

An MCP server that provides real-time trending tokens from DexScreener for BSC and Solana chains. - Tool: gettrendingpairs — fetch top trending pairs - Supports chain parameter: bsc (default) or solana - Returns both Markdown-formatted table (nice display in chat) and structured JSON array - Prompt: analyzetrendingtoken — ready-to-use analysis template for any token 1. Clone the Repository: 2. Ins

Debug AI traces, find exceptions, analyze sessions, and manage prompts via Langfuse MCP. Also handles MCP setup and configuration.

Universal Deployment Tracker for AI Assistants Track deployments across all platforms directly in your AI conversation. No more context-switching. No more dashboard hunting. Watch Full Demo · Live Badge Demo ───────────────────────── Get started in under 30 seconds: That's it! The server is now running and ready to be configured in your AI assistant. ───────────────────────── deploy-mcp supports m

Read-only MCP server for AI agents to query the Arcology One engineering knowledge base. Add to ~/.claude/claudedesktopconfig.json: Then point DNS: mcp.lifewithai.ai → Fly.io app.

A personal filesystem that works as your life operating system — designed to be read, queried, and operated on by an AI agent. Life OS is a structured set of markdown files that give an AI agent (Goose, Claude, or any LLM with filesystem access via MCP) persistent context about your life — who you are, what you're working on, what you're learning, and what's happened. The AI reads these files at t

Model Context Protocol (MCP) server integrating with the Miro platform. It enables AI assistants (like Claude) to access Miro boards and manage their content through a standardized interface. - Node.js v16 or newer installed - Miro account with API token 1. Go to the Miro Developer Portal 2. Create a new app or use an existing one 3. Make sure to create token with permission selected below 4. Gene

English | 简体中文 A Model Context Protocol (MCP) server that provides native integration with Apple Reminders and Calendar on macOS. This server allows you to interact with Apple Reminders and Calendar Events through a standardized interface with comprehensive management capabilities. - List Management: View all reminders and reminder lists with advanced filtering options - Reminder Operations: Full

This is a Model Context Protocol (MCP) server designed specifically for AI agents and LLM applications. It acts as a bridge between artificial intelligence systems and the comprehensive OpenStreetMap tagging knowledge base provided by the official @openstreetmap/id-tagging-schema library. Current Status: Production-ready MCP server, actively maintained and continuously improved. The service is dep

A multi-model AI orchestration MCP server for automated code review and LLM-powered analysis. Multi-MCP integrates with Claude Code CLI to orchestrate multiple AI models (OpenAI GPT, Anthropic Claude, Google Gemini) for code quality checks, security analysis (OWASP Top 10), and multi-agent consensus. Built on the Model Context Protocol (MCP), this tool enables Python developers and DevOps teams to