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A Model Context Protocol server designed for AI assistants to directly process spreadsheet files, enabling them to read, display, modify, and save various table formats like CSV and Excel.

Enables Claude to control Spotify features including playback control, playlist management, search, and accessing user's listening history and preferences through the Spotify API.

Enables AI agents to establish and manage persistent SSH connections to remote hosts for executing commands. Supports SSH config files, multi-host management, and automatic reconnection with thread-safe concurrent operations.

A Node.js-based MCP server that extracts numbers from text and generates statistical chart data such as bar, pie, and line charts based on frequency. It enables AI agents to perform data extraction and visualization tasks through the Model Context Protocol.

An MCP server that enables users to interact with local documents for educational purposes through tools for listing and reading files. It features an integrated agent capable of automatically generating document summaries and study flashcards.

Enables hierarchical task planning and execution through recursive code and analysis subagents. Provides a planner tool that decomposes complex tasks and delegates them to specialized subagents with session-aware persistence.

This Model Context Protocol server enables AI assistants to interact directly with Ansible, allowing them to execute playbooks, manage inventory, check syntax, and perform other Ansible operations.

Advanced Model Context Protocol server that integrates Gemini AI with Tailwind CSS, providing intelligent component generation, class optimization, and cross-platform design assistance across major development environments.

Async MCP server for running long-running AI tasks with real-time progress monitoring, enabling users to start, monitor, and manage complex AI workflows across multiple models.

A template for building Model Context Protocol servers that allow AI assistants to interact with custom data and services through queryable resources and specialized tools.

A Model Context Protocol server that enables LLMs to interact with user and task data through JSON-RPC, offering tools like user management, task creation, and search functionality.

A Model Context Protocol server providing tools for DB queries, API calls, file I/O, and text transformations, enabling AI agents like Claude to perform real-world actions.

Implementation of the Model Context Protocol for Unity Editor, allowing AI assistants to interact with Unity projects through a Node.js server bridge.

Enables AI assistants to interact with Unity Editor through the Model Context Protocol, allowing natural language control of Unity projects including scene manipulation, GameObject creation, component updates, package management, and test execution.

Enables AI assistants to analyze Java and Web projects, automatically generate unit tests (JUnit) and end-to-end tests (Selenium), and execute them directly through Maven or NPM commands.

A collection of tools that enhance MCP-based workflows with caching, retry logic, batch operations, and rate limiting capabilities.

A comprehensive utilities library for building Model Context Protocol servers, providing standardized tools for response formatting, caching, rate limiting, logging, and WebSocket management.

Enables AI agents to programmatically inspect, test, and validate other MCP servers by exposing MCP Workbench capabilities as structured tools. It supports automated test spec generation, execution, and detailed failure analysis to ensure server reliability.

Enables WhatsApp automation through MCP protocol, allowing users to manage sessions, send messages, handle groups/communities, and access contacts through natural language interactions with AI agents.

Enables LLM agents to control a Philips XL30 ESEM microscope by exposing tools for imaging, beam adjustment, and vacuum chamber operations. It features a safety envelope to regulate sensitive parameters like high tension and stage motion.