"Controlling Bots in Video Games" matching MCP servers:

Enables LLMs to securely query and optionally write to ServiceNow instances with strict allowlist/denylist safety controls.

Enables MCP clients to inspect and operate Kubernetes clusters across multiple contexts, with read-only/read-write/admin access modes and security flags controlling namespaces, contexts, deletes, applies, and exec.

An MCP server for managing Cloudron instances that enables monitoring and controlling self-hosted applications, backups, and infrastructure. It provides tools for listing installed apps, retrieving system status, and performing administrative tasks through the Model Context Protocol.

Enables MCP clients like Cursor, Claude Code, and Codex to publish websites and Telegram bots to Netrun by uploading a folder and receiving a public URL, as well as checking status, viewing logs, managing secrets, and controlling projects.

Exposes Justworx devices to AI agents as MCP tools and resources, backed by the public Developer API. Supports local stdio and hosted remote OAuth operation for controlling device IO, rules, and viewing live state.

An MCP server for controlling Fivetran data pipelines. Enables AI assistants to manage syncs, monitor connection status, and control pipelines through natural language.

Enables management of Railway.app infrastructure through natural language, including deploying services, managing environment variables, monitoring deployments, and controlling project resources.

Enables AI assistants to manage CloudLab/Emulab experiments, including listing experiments, controlling nodes (reboot, reload, power cycle), retrieving console logs, extending experiment time, and terminating experiments.

Enables interaction with Bunny.net APIs for Stream/Video, Storage, CDN Pull Zones, and DNS services. Provides 35 tools for managing video libraries, files, CDN configurations, and DNS records through Claude.

Enables users to describe their LLM fine-tuning job once and get the cheapest, fastest, and most balanced GPU options across a dozen cloud providers in seconds.

A template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

OBTO gives your AI assistant a hosted app platform: it scaffolds, deploys, and operates real full-stack apps — pages, APIs, database, scheduled jobs — in a workspace created automatically at your first Google sign-in.

这是一个基于 ALAPI 的 MCP (Model Control Protocol) 服务器实现，可以通过MCP协议直接调用ALAPI的接口

Enables AI-powered image and video analysis using Google Gemini and Vertex AI models. Supports analyzing single or multiple images, detecting objects with bounding boxes, and video content analysis through natural language prompts.

Enables Claude Desktop to use MCP tools hosted in Azure Container Apps, secured with Microsoft Entra ID sign-in, and provides hello and whoami tools to confirm connectivity and the signed-in Microsoft account.

Enables AI agents to access EasyBits cloud services through a single MCP endpoint, including sandboxes, web search and extraction, file management, SQL databases, documents, video, and app/website hosting.

Enables managing Vercel projects, deployments, build logs, domains, and environment variables through natural language in Microsoft Copilot Studio, using streamable HTTP with API key authentication.

A deployment template for running Model Context Protocol servers as Vercel Functions. It provides a foundation for developers to build and host custom tools, prompts, and resources with optimized execution for MCP client integration.

A lightweight MCP server that gives AI coding assistants full development capability on ServiceNow through the Table API, enabling CRUD and script execution without local installation.

An MCP server for generating videos through Amazon Nova Reel 1.1 using AWS Bedrock, providing asynchronous video generation with comprehensive prompting guidelines and multiple transport methods.