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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.

63 MCP tools for structured AI reasoning — ideation, hypothesis tracking, decision matrices, mental models, and more

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

Enables AI agents to track LLM costs, enforce budgets, compare models, and estimate expenses through simple tool calls.

Enables AI systems to capture screenshots on Windows, including full desktop, specific displays, defined regions, or the active window. Provides display enumeration, bulk image deletion with date filtering, and automatic Windows Terminal window hiding during capture to prevent overlay artifacts. Built with C# and .NET 10, distributed as a NuGet package.

A demonstration MCP server that provides basic utility tools including hello world functionality and string reversal operations. Shows how to build and deploy MCP tools using the MCPO orchestrator framework.

Enables AI assistants to search and access clinical trial data from ClinicalTrials.gov, including searching trials by keywords, retrieving detailed trial metadata by NCT ID, and managing trial data in CSV format for research and analysis.

Enables AI agents to access curated SIP/VoIP documentation, troubleshoot traces, and analyze telecom configurations with 20+ read-only tools.

Utilize this template to parallelize work across multiple features branches via LLM calls. This project template also ensures MCP support is persistent while conducted parallelized LLM workflows

Scaffolds MERN CRUD resources into existing Express and React codebases.

MCP server for the Reddit Ads API. List accounts, campaigns, ads, and pull reports.

Claude Code plugin marketplace for Little Bear Apps

Provides a shared in-memory cache where Claude Code subagents check before reading and record after reading, turning redundant file reads into cheap cache lookups. Includes staleness detection via file modification time and a session map for planning. Designed as a Claude Code plugin with automatic protocol injection.