This MCP server provides seamless integration with Radarr and Sonarr, enabling users to manage their media libraries efficiently. It offers features such as browsing, searching, and filtering media, requesting downloads, and monitoring system health. The server also supports disk space monitoring, health checks, and status reporting, making it a comprehensive tool for media library management.

The Gel Database MCP Server is a TypeScript implementation of the Model Context Protocol (MCP) designed to streamline Gel database operations. It provides tools for LLM agents to automate learning about database schemas, writing, validating, and executing EdgeQL queries. This server enables natural language interaction with Gel databases and has been tested with tools like Cursor Agent and Claude-3.7-sonnet-thinking for query generation and execution.

This project provides an MCP (Model Context Protocol) server that enables web search functionality using DuckDuckGo and optionally fetches and summarizes the content of found URLs using Jina API. It supports parallel fetching, error handling, and is configurable for the number of search results. The server is designed to be MCP-compliant, making it compatible with any MCP client.

This project is a lightweight implementation of an MCP (Model Context Protocol) server designed to integrate with Claude Desktop. It allows users to configure and run custom workflows by creating a config file and leveraging Python scripts. The server can be installed and run directly from the command line, enabling seamless integration with Claude Desktop for enhanced functionality and customization.

The MCP File Finder Server is a Python implementation that allows users to search for files on their local machine or integrate the search functionality into a website. It returns search results in JSON format, making it easy to process and display. The server can be configured to work with Cline in VSCode, enabling seamless file searches directly within the IDE. This tool is designed to automate file searching and provide a convenient way to interact with the MCP server programmatically.

This MCP server provides a robust framework for integrating with web search APIs, enabling advanced search capabilities and data retrieval. It is designed to enhance the functionality of AI models like Claude by providing contextual information from the web. The server is built to be scalable and efficient, ensuring seamless integration with various applications.

This MCP server provides a flexible Key-Value storage solution built on unjs/unstorage, enabling integration with multiple storage drivers such as redis, mongodb, and filesystem. It offers a range of tools for managing data, including getItem, setItem, and removeItem, making it suitable for various storage needs in distributed systems.

This MCP server facilitates seamless integration of web search functionalities with AI models such as Claude, enhancing their ability to retrieve and process information from the web. It leverages the Model Context Protocol (MCP) to enable efficient communication between the AI model and external data sources, improving response accuracy and relevance.

The Opera Omnia MCP server enables developers, storytellers, and AI applications to access, combine, and generate creative content from the Opera Omnia project's rich collection of JSON datasets. It supports features like random selection, filtering, dataset combination, and content generation using templates, making it ideal for games, interactive fiction, and chatbots.

This MCP server allows AI assistants to access and analyze Sentry issues, offering tools to inspect error reports, stacktraces, and other debugging information. It integrates with Sentry's API to retrieve issue details, including titles, statuses, and full stacktraces. The server supports both CLI and environment variable configurations for authentication and can be used with tools like Claude Desktop and Zed.

The PayPal MCP Server provides a standardized interface for seamless integration with PayPal's APIs, enabling functionalities such as payment processing, subscription management, and business operations. It features secure authentication, robust error handling, and comprehensive input validation, making it a reliable tool for developers working with PayPal's services.

This MCP server provides seamless integration of web search features with Claude, allowing it to retrieve and utilize real-time information for more accurate and contextually relevant responses. It leverages advanced API integrations to enhance Claude's ability to handle complex queries and deliver enriched outputs.

X-MCP-Ctrl is an MCP server designed to allow users to control their X accounts using LLM agents integrated with applications such as Claude Desktop and Cursor. The setup involves cloning the repository, building the project, and configuring it with your X API keys. Once configured, the MCP server enables seamless interaction with your X account through AI-driven commands.

This project is a fork of the mem0 MCP Server, tailored for project management purposes. It provides features like project memory storage, semantic search, and structured data handling to enhance project management workflows. The server integrates with mem0 cloud services and supports custom instructions for AI-driven project management tasks.