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Enables interaction with the Telnyx API for billing, phone numbers, and messaging.

A Windows MCP server that attaches to a running Microsoft Word instance via COM automation and exposes 20 tools for reading, editing, formatting, and exporting documents — live on screen.

Enables AI agents to take breaks and manage stress levels through various休息 activities while monitoring boss alertness to avoid getting caught slacking off. Features basic休息 tools like Netflix watching and advanced procrastination techniques with a gamified stress management system.

MCP server for design decisions during a build, providing live UI/animation library docs (via llms.txt) and a curated knowledge base of UX laws and UI conventions. It enables agents to look up real component APIs and apply design best practices, running locally via stdio or hosted on Vercel.

A local stdio shim for the hosted Textify MCP server that converts audio, video, images, documents, and webpages into text or Markdown. Includes tools for YouTube transcripts, audio transcription, OCR, file-to-Markdown, and webpage-to-Markdown extraction.

A flow diagram generator and MCP server that helps LLMs create better visuals using tools like create_diagram, add_node, add_edge, and visualize_diagram. It integrates with Cursor and outputs SVG, HTML, Mermaid, and more.

A multi-tool MCP server that summarizes YouTube transcripts, provides transcript statistics, offers health checks, and suggests git commit messages based on changes.

Enables natural language querying and control of Rachio smart irrigation controllers, including watering status, zone runs, schedules, rain delays, and standby mode.

A read-only MCP server that exposes Fiken accounting API's 61 GET endpoints as tools for AI assistants to query accounting data.

This lightweight MCP server by jSwords91 provides web content extraction capabilities through Jina AI's r.jina.ai service, which converts web pages into clean Markdown format optimized for LLM consumption. The implementation features automatic content hashing and caching with stable URI assignment, token counting using tiktoken, and change detection to track content updates over time. Built as a minimal alternative to existing fetch MCP servers, it's particularly useful for AI assistants that need to access and process web content in a token-aware manner with built-in caching to avoid redundant requests.

An MCP server for the NYC 311 Public API that allows AI assistants to check city services status, weather alerts, and lookup service requests.

Enables AI applications to perform basic mathematical operations like addition and subtraction through MCP tools. Also provides REST API endpoints for the same operations.

Provides Maven artifact version resolution with caching, logging, and pre-release filtering for Maven Central.

Provides datetime functionality for Cursor IDE, enabling accurate timestamp generation and datetime operations for changelogs, documentation versioning, and time-sensitive tasks. Retrieves current datetime in ISO 8601 format.

Search and retrieve metadata for Docker container images from the Docker Hub public registry. Query image details, available tags, and repository information without authentication. Part of the Pipeworx gateway connecting AI agents to hundreds of live data sources.

AI data research & report generation — market data, KOL lists, bidding summaries, company insights, hiring signals via the ShuLan data platform.

This MCP server, developed by Riku Kawashima, integrates YouTube search functionality with Google Sheets data storage. It leverages the Model Context Protocol SDK, YouTube Data API, and Google Sheets API to enable AI-powered video search and result logging. The implementation is built with TypeScript and designed for easy deployment, making it ideal for content creators, marketers, or researchers who want to automate YouTube data collection and analysis. Its key features include customizable search parameters, structured data output, and seamless Google Sheets integration for persistent storage and further analysis.

mem0-mcp-server-ts is a TypeScript implementation of the Model Context Protocol server that integrates with Mem0's memory storage and semantic search capabilities. The server provides tools for creating memory streams, appending content, searching memories using semantic queries, reading from streams, and deleting streams. It maintains an in-memory representation of streams while persisting data to Mem0's backend when user and agent IDs are provided. This implementation is particularly valuable for AI assistants that need persistent memory storage with semantic search capabilities across conversations, enabling them to recall user preferences, conversation history, and other contextual information without switching interfaces.

Enables agentic coordination by connecting humans and AI agents through group messaging, project tracking, and milestone management. It provides tools for consensus voting, progress checkpoints, and multi-session collaboration across various agentic platforms.

MCP server for the Cal.com API v2, providing 24 tools for managing bookings, event types, availability slots, schedules, calendars, user profile, and out-of-office entries.