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This MCP webhook server, developed by kevinwatt, enables AI agents to send messages to external webhook endpoints. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides a simple interface for posting customizable messages. The implementation focuses on flexibility, allowing users to specify content, username, and avatar for each message. It's particularly useful for integrating AI-driven notifications into existing workflows, enabling use cases such as automated alerts, chat integrations, and system notifications without directly dealing with webhook API complexities. The server's design emphasizes ease of configuration and deployment, making it suitable for both development and production environments.

Production-ready MCP server framework for AWS Lambda and ECS Fargate, providing base classes and infrastructure for building MCP servers that implement JSON-RPC 2.0 with authentication, session management, and tool registration.

Middleware that uses Model Context Protocol and generative AI to automatically generate native Crestron Construct interfaces (.cuig/.cuib), enabling natural language creation of AV control UI components.

Read-only MCP bridge for searching and browsing RikkaHub app conversations through its Web API.

The DeepL MCP server provides AI assistants with direct access to DeepL's translation capabilities through a Node.js implementation. Developed by DeepL SE, this server exposes tools for translating text between numerous languages, rephrasing content with different writing styles and tones, and retrieving available language options. It leverages the Model Context Protocol SDK to establish a stdio-based communication channel, caches language lists for improved performance, and includes formality controls for supported languages. The implementation is particularly valuable for users who need high-quality translations or text rephrasing without switching contexts from their AI assistant conversation.

Enables YouTube content browsing, video searching, and metadata retrieval via the YouTube Data API v3. It also facilitates fetching video transcripts for summarization and analysis within MCP-compatible AI clients.

Enables AI agents to search and download 3D assets (models, materials, HDRs, brushes) from the BlenderKit library.

MCP server providing real-time traffic, bike-sharing, air quality and weather data from Valencia,

MCP server for creating vtimestamp proofs on the Verus blockchain

Clockify MCP Server integrates with the Clockify time tracking API, allowing AI assistants to manage time entries through natural language prompts. Developed by https-eduardo, this TypeScript implementation provides tools for creating billable time entries, retrieving workspace information, listing projects, and accessing user data. The server handles authentication via Clockify API tokens and exposes four main tools that abstract the complexity of the Clockify API, making it particularly valuable for users who want to log their work hours without leaving their AI assistant interface. Future implementations will include deleting and editing time entries.

Lightweight MCP server for interacting with Amazon and Flipkart search and authentication components.

A native macOS Kanban harness for Claude Code, turning project boards into live AI agents that self-organize by conversation state.

🔌 Simplify PostgreSQL interactions with a secure MCP server for LLMs, enabling efficient access to schemas, tables, and query execution.

The most advanced MCP server for Godot Editor that lets AI assistants operate directly inside your running Godot project for scene creation, script generation, UI authoring, and more.

Enables interaction with League of Legends game data through the Riot Games API. Allows users to query player statistics, match history, and game information using natural language.

A personal MCP server for managing a folder of markdown notes. It provides tools to search and list notes, resources to access individual notes, and a prompt for weekly summaries.

Provides integrated control capabilities for LG ThinQ devices including status monitoring, device control, and profile information through a Model Context Protocol server.

Enables searching Reddit, finding subreddits, reading threads and comments via Atom feeds for research in Claude Desktop.

Secure MCP server that executes JavaScript code for data analysis using isolated-vm.

A personal task management MCP server that allows LLM clients to create, read, update, and delete tasks with projects, labels, and comments, using a local SQLite database that can also be accessed via a web UI.