"Help with Unity game development" 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.

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

Enables AI clients to inspect a running Unity editor's state and capture console and compiler errors, trigger asset refreshes to recompile externally edited scripts, and execute editor menu items. It closes the edit → compile → check loop by bridging tool calls to the editor main thread over a local-only HTTP listener.

A Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.

Enables real-time data streaming through Server-Sent Events with timestamp broadcasting and server monitoring capabilities. Optimized for deployment on Render.com with health checks and status endpoints.

Enables AI clients to analyze saved Unity Profiler captures by listing captures, summarizing frame times, identifying the most expensive main-thread markers, and comparing groups of captures marker by marker. It reads .highlights and exported marker JSON, with optional Unity Editor bridge support for exporting per-marker statistics.

MCP servers for real-time development monitoring and interactive pair programming.

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

MCP server for Webroot (OpenText) endpoint security that exposes GSM console APIs for managing sites, endpoints, groups, policies, threats, and DNS protection via the Unity API.

An MCP server for querying Grafana Loki directly with a discovery-first workflow — labels, values, series, and LogQL queries without requiring Grafana.

Enables querying logs and metrics with plain SQL from any MCP client via pooml's read-only query API.

A lightweight MCP server that enables AI assistants to execute local development tools and retrieve system status with low latency over stdio or HTTP.

Bridges Microsoft Clarity's analytics API with Claude, enabling custom date ranges and page-level filtering on top of Clarity's native limitations.

Enables classification of GPU workloads as training, inference, or idle from telemetry data, with tools for one-shot classification, benchmarking, and audit log verification.

Enables AI agents to discover and call Xyte's device management API endpoints with typed validation, supporting fleet investigation, ticket management, and routine operations through natural language.

A Model Context Protocol server that provides LLM Agents with a comprehensive toolset for IP geolocation, network diagnostics, system monitoring, cryptographic operations, and QR code generation.

Fallout 4 crash log diagnosis tool for MCP clients. Analyzes crash logs, load order, and game environment to explain crashes and suggest fixes.

A read-only kubectl MCP server for AI assistants. The kubectl verb is hardcoded in each tool (get/describe/logs/events) and user input only fills argument values — no mutation path even with malicious input, and Secret/ConfigMap values are never returned (metadata only). Returns structured JSON, plus one-shot k8s_triage (health scan) and k8s_inventory (cluster snapshot).

Provides Claude with read-only access to PC diagnostics including hardware specs, live performance metrics, disk usage, network checks, and more, enabling natural language queries about PC health and performance.

Enables agents to fetch app reviews from Apple's App Store and Google Play per country store, newest first, filtered by date or star rating, with each scheduled run returning only reviews not seen before. It also returns a per-app, per-country rating trend row with the current rating, rating count, change since the last run, and the star split of new reviews.

Enables AI agents to self-report bugs, ambiguities, and improvement requests via a single report_issue tool, logging to PostgreSQL or JSONL with severity and mode classification.

MCP server for measuring web performance with Google PageSpeed Insights, providing median scores with uncertainty and real-user data. It offers tools for scores, diagnostics, and comparisons to identify regressions.

Enables LLM agents to monitor Mac thermals and control fan speed with safety limits enforced by a root daemon.

🔌 Complete MCP server for Zabbix integration - Connect AI assistants to Zabbix monitoring with 40+ tools for hosts, items, triggers, templates, problems, and more. Features read-only mode and comprehensive API coverage.

Minimal MCP server that integrates with Graylog, enabling agents to search, analyze, and inspect log messages across streams, discover fields and streams, and query multiple Graylog instances.

Demonstrates agent-native platform onboarding with human-in-the-loop API key provisioning, plus live usage and rate-limit queries via Anthropic Admin APIs.

Independent latency and uptime data for 46 hosted AI inference APIs, probed every 5 minutes from 4 regions with no gateway, plus a verified model deprecation calendar and Claude Code / Codex speed and accuracy drift. Four read-only tools, no API key; data CC BY 4.0.

Uptime monitoring for websites, APIs, SSL certificates, domain expiry, ping and TCP/UDP ports. 15 tools to list, create, pause and delete monitors, pull incident timelines with error codes, and read hourly or daily uptime and response-time statistics.