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A native C# MCP server that gives AI agents real-time control and visual analysis of the Unity Editor, enabling dynamic code execution, scene manipulation, and debugging without external dependencies.

Discover and search Harvard's course catalog by code, title, or instructor. Explore random course picks to spark inspiration and uncover new subjects. View detailed course info and catalog insights to plan your schedule.

FM Towns emulator and debugger with embedded MCP server for macOS, Windows, Linux, BSD and RetroArch.

Cognitive multi-tier memory kernel managing working scratchpad, sliding dialogue buffer, and episodic memories with exponential recency decay.

Enables deployment of a remote Model Context Protocol server on Cloudflare Workers without authentication. Allows custom tool definitions and connection from MCP clients like Claude Desktop or Cloudflare AI Playground.

OpenAPI Client is a toolkit that helps you create HTTP clients for external APIs based on their OpenAPI specifications. It simplifies the process of consuming and interacting with various web services.

Ontario (Canada) high school course planning (Grades 9–12) aligned to university admissions and Top 6 (12U/M)

Ens MCP server — 23 tools for AI agent integration. Hosted by Junct.

PageRank random walk and power iteration centrality engine scoring authority and influence across interconnected agent networks.

AgoraHub agent registry — discover and use 14+ verified AI agents for dev tasks like hashing, encoding, formatting.

A comprehensive MCP server implementation for the ESP32 CYD (Cheap Yellow Display) board that transforms the ESP32-2432S028R into a remotely controllable IoT device through WebSocket-based communication. The server exposes over 100 tools across eight categories including display control (drawing text, shapes, progress bars), touch input handling with gesture detection, GPIO manipulation, sensor readings (temperature, light, hall sensor), network operations, system monitoring, file management for SPIFFS and SD card storage, and audio playback with predefined melodies. Built using PlatformIO with the Arduino framework, it leverages the board's 2.8" ILI9341 TFT display and XPT2046 touch controller to create a versatile hardware interface that can be controlled programmatically by AI assistants, making it valuable for IoT prototyping, remote monitoring, educational projects, and hardware automation tasks where visual feedback and touch interaction are needed.

This MCP server, developed for integrating with Strava's API, enables seamless access to fitness data and activity tracking. Built with Kotlin and leveraging the Model Context Protocol SDK, it provides tools for retrieving and analyzing user activities, routes, and performance metrics. The implementation focuses on efficient data retrieval and processing, offering features like activity summarization and performance analysis. It's particularly useful for fitness applications, personal trainers, or data analysts working with athletic performance data, enabling use cases such as workout planning, progress tracking, and community engagement without complex API integrations.

You are a meeting productivity expert.

Analyzes local Git repositories to provide detailed insights into commit statistics, contributor activity, and frequently changed files. It allows users to query repository history and access structured activity data through the Model Context Protocol.

Enables AI agents to run Shipcheck on local JavaScript/TypeScript repositories, scanning for launch risks like exposed env vars, unsigned webhooks, and missing security guardrails.

This TMDB MCP server provides AI assistants with access to The Movie Database API for comprehensive film and television data queries, enabling natural language exploration of entertainment content through six specialized tools. The implementation supports finding collaborations between actors or crew members across projects, retrieving filtered filmographies by genre and job role, and discovering shared cast/crew between different movies, with built-in genre translation and intelligent person search that prioritizes actors when searching cast roles. Built with TypeScript and featuring robust error handling, caching of genre data, and support for multiple languages, it's particularly valuable for entertainment research, film analysis, and discovering connections within the movie industry ecosystem.

Real-time multi-language meeting transcript normalizer

This MCP server implementation provides a Go-based wrapper for Meilisearch, enabling large language models to access Meilisearch's search capabilities through the Model Context Protocol. Developed by cnosuke, it offers tools for index management, document operations, and search functionality, allowing AI assistants like Claude to perform powerful search operations against Meilisearch indexes. The lightweight server supports features such as health checks, creating indexes, adding documents, and executing complex searches with filtering and sorting options, making it ideal for applications requiring AI-assisted information retrieval from structured data.

GenPark AI Skill - Score visitor purchase intent from behavioral signals and recommend personalized conversion interventions