MCP Servers

This repository implements an MCP server for Apify Actors, enabling AI assistants to use them as tools for tasks like data extraction and web scraping via HTTP or standard input/output.

LLM Context helps developers inject relevant code/text content into LLM chats. It uses `.gitignore` patterns for file selection and offers clipboard workflow and direct LLM integration via the Model Context Protocol.

This repository hosts a Model Context Protocol (MCP) server designed to retrieve transcripts from YouTube videos, supporting multiple video URL formats and language-specific transcript retrieval through a simple interface.

The MCP MongoDB Server provides LLMs access to MongoDB databases, enabling schema inspection and operation execution through a Model Context Protocol, and supports read-only mode for enhanced safety.

MemoryMesh is a knowledge graph server for AI models, ideal for text-based RPGs and interactive storytelling, helping AI maintain consistent, structured memory across conversations for richer interactions. MemoryMesh is a

This repository provides a desktop application, MCP Manager, for MacOS that simplifies the management of Model Context Protocol (MCP) servers, enabling Claude Desktop to access various services and data sources locally.

This repository offers resources for the Model Context Protocol (MCP), including guides, utilities, and client/server implementations in TypeScript, Python, and Kotlin, facilitating LLM interaction with external systems. This repository offers

This repository provides an MCP server that allows Claude to interact with Twitter, enabling it to post tweets and search for tweets using Twitter's API. This repository provides an MCP

This repository provides a Model Context Protocol (MCP) server offering DuckDuckGo web search, content fetching, and parsing capabilities. It includes rate limiting, error handling, and LLM-friendly output formatting for seamless integration.

This repository provides a cross-platform desktop application for interacting with LLMs using the MCP protocol. It offers a clean, minimalistic codebase for understanding MCP principles and testing multiple servers and LLMs.

This repository hosts an MCP server enabling LLM applications to interact with macOS via AppleScript, offering a standardized interface to control system functions, manage files, handle notifications, and integrate with

LYRAIOS is a Model Context Protocol operating system for multi-AI agents, extending AI applications to interact with financial networks and blockchains. It features open architecture, multi-agent collaboration, and cross-platform runtime environment.

ATLAS is a task management system for LLM Agents, built on a three-tier architecture, that allows users to manage projects, tasks, and knowledge with defined schemas and completion requirements.

The MCP Reasoner enhances Claude Desktop with Beam Search and Monte Carlo Tree Search (MCTS) algorithms, including experimental alpha variations, to improve its complex problem-solving capabilities by incorporating policy and search methods.

This repository provides a Model Context Protocol (MCP) server for YouTube, enabling AI language models to interact with YouTube content through a standardized interface. It supports video, transcript, channel, and playlist management.