"How to create a game using Unity" matching MCP servers:

An MCP server connecting Claude AI with game engine runtimes (Unity & Godot) for automated testing, log filtering, and scene hierarchy inspection.

MCP server for Framedash game telemetry -- query game analytics, heatmaps, perf regressions, retention, and alerts from Claude and other AI agents. Works with Unity, Unreal Engine 5, and Godot projects.

An MCP server for Dell Unity storage arrays that automatically generates tools from OpenAPI specifications, enabling AI assistants like Claude and n8n to interact with Unity storage systems without storing credentials.

Lets MCP clients answer questions about website traffic using Plausible Analytics Stats API v2 through read-only tools for totals, trends, breakdowns, and realtime visitors.

Enables SEO audits and URL monitoring via the SEO Radar API from any MCP-compatible AI client.

MCP server that wraps CubeCoders AMP to list, inspect, and control game-server instances.

Controls Unity ML-Agents training runs from Claude Code, enabling launch, stop, resume, monitor, compare, and export via natural language.

Exposes a Raspberry Pi homelab's systemd service health, disk usage, CPU temperature, and LAN game-server status as read-only MCP tools, letting MCP clients answer questions like "how's the homelab doing?" without SSHing in manually.

Connects AI assistants to the Vectra AI security platform to enable intelligent analysis of threat detection data and automated incident response workflows. It allows users to investigate threats, take response actions, and generate security reports using natural language.

远程MCP服务，通过Model Context Protocol为AI应用提供阿里云数万个OpenAPI的无缝集成，支持Terraform、多账号、自定义OAuth等能力。

Enables AI clients to create and configure monitors, subscribe to their evidence streams with durable cursors, and process observations with guaranteed at-least-once delivery.

Enables MCP clients to triage SOC alerts while enforcing a trust firewall across retrieval, memory, and privileged actions. It exposes tools for alerts, logs, memory, and alert actions, with defenses that refuse risky operations in the presence of attacker-controllable content.

Enables querying a live Satisfactory game through Ficsit Remote Monitoring to answer questions about production, power, logistics, and factory health.

Enables LLMs to query real job data and summarize backend job failures using MCP tools backed by a SQLite database.

Enables AI assistants to interact with Healthchecks.io, allowing users to list, create, update, pause, resume, and delete checks, as well as view ping history and integrations.

A powerful, lightweight Model Context Protocol (MCP) server built in Python that enables Artificial Intelligence assistants (Claude Desktop, Cursor, Antigravity, Claude Code, etc.) to manage and monitor your Proxmox VE cluster using natural language.

Control and monitor your AC Infinity grow environment through Claude and any MCP-compatible AI assistant. It provides live sensor data, analytics, and the ability to adjust fan speeds or port states using natural language.

Enables plain-English analysis of game telemetry through tools for schema inspection, SQL queries, metric/KPI retrieval, anomaly sweeps, and synthetic data loading.

A read-only MCP server that gives Claude safe access to Kubernetes clusters, enabling listing, describing, and monitoring resources without mutation risks and with secret masking.

Enables read-only querying and analysis of Kibana logs through a logged-in sid Cookie, including keyword/time/index searches, traceId lookups, surrounding log context, and aggregations by service, level, or host. It also validates Kibana connection status and redacts sensitive fields such as cookies, tokens, and passwords.