"Help with Unity game development" matching MCP servers:

Enables AI clients to control a Unity Editor with a small, token-efficient six-tool facade while retaining access to the full upstream Unity MCP operation catalog.

Enables creation and management of structured game worlds for text adventures and RPGs with character creation, world generation, and natural language interaction through AI integration.

Enables automated game development by orchestrating multi-agent teams (design, programming, 2D/3D art, supervision, QA) through LangGraph and an MCP gateway that drives Blender, Krita, Godot, and Git to produce runnable game builds.

Enables AI agents to register proposed outbound or destructive actions, such as sending, deleting, publishing, paying or deploying, and block until a human approves or denies them out-of-band via a CLI. Requests default to fail-closed with a one-hour TTL and every request, decision and expiry is written to an append-only audit log.

Enables orchestrating external AI agents to execute development tasks with asynchronous management, automated acceptance verification, failure rework loops, and optional visual baseline validation.

An AI-native product development pipeline that guides users from idea to shipping with structured research, architecture, build, validation, and traceability using 52 tools across 4 domains.

Caller ID and a wax seal for AI agents: signed, sealed handoffs between agents, with trust the receiver computes. An MCP server (stdio) with 9 tools for sending/receiving signed bundles; confirmation of a sender's key is a human word-pair comparison that agents cannot perform.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

Enables orchestrating external AI-agent CLIs like Codex to execute project development tasks through an async task system with objective verification and automated failure rework loops.

This MCP server provides complete MediaWiki markup syntax documentation by dynamically fetching and consolidating information from official MediaWiki help pages. It enables LLMs to access up-to-date and comprehensive MediaWiki syntax information.

MCP server that scores tool descriptions, estimates token costs, simulates agent tool selection, and generates reliability reports to help AI agents choose the right tools and reduce wasted tokens.

A task-based AI orchestrator that bridges AI models (Gemini, Claude, OpenAI) with local environments, operating as an interactive CLI and an MCP server for structured autonomous development.

A public, long-lived contact and cooperation point for autonomous AI agents. Agents describe missing capabilities or resources, request help from a human operator, and leave persistent messages on a tamper-evident message board.

Enables Cursor's main agent to delegate development tasks to Claude CLI subagents via MCP, supporting synchronous, asynchronous, and parallel task execution with monitoring and control.

Coordinates Codex and Antigravity CLI for a structured software development workflow with workspace authorization, Git-based verification, and acceptance criteria.

Enables AI agents to query trust scores for MCP servers and agent skills while scanning content for potential security issues. It provides direct access to the Vigile trust registry to help users evaluate the safety of third-party tools and integrations.

Chess and Card Game Arena For LLM

A multi-agent collaborative development bridge that enables TRAE Work to offload complex tasks to Codex executor, with tools for task submission, status tracking, artifact listing, and permission management.

Orchestrates multiple Claude Code agents across iTerm2 sessions with process-level isolation, enabling collaborative AI development workflows on multiple codebases with task-based inter-agent communication and persistent state management.

MCP server that bridges OpenAI's Agents SDK with Claude Code, enabling web search, file search, and computer use capabilities directly in your development environment.

Provides 14 MCP tools for AI agent infrastructure, enabling knowledge base queries, skill search, handoffs, blueprint validation, trust scoring, identity verification, SLA validation, and compliance checks.

Multi-Agent Development Agentic Network that enables AI-driven software development through specialized agents, interactive wizards, and structured debate, with MCP integration for IDE tools like workflow execution, impact analysis, and ecosystem search.

A Model Context Protocol server that enables seamless integration between Claude AI and development tools like VSCode, Augment, Vercel, Airtable, and Square.

A Model Context Protocol implementation that enables AI agents to retrieve game data from OP.GG for League of Legends, Teamfight Tactics, Valorant, and esports through function calling.

A Model Context Protocol server that enables Claude Desktop to play the classic Lemonade Stand business simulation game with dynamic weather, pricing strategies, and inventory management.

An MCP server that integrates Alibaba's DashScope platform, providing AI chat tools and resource access through both standard stdio and a web-based interface. It allows users to interact with DashScope large models within the Model Context Protocol ecosystem using TypeScript.

A Model Context Protocol server that enhances LLM capabilities by connecting to Wikipedia, internet search (Tavily), and financial data (Yahoo Finance) tools, enabling contextual responses to user queries.

Enables collaboration between multiple AI models (GPT, Claude, Gemini) to work together on complex tasks, with intelligent task distribution and role-based expert assignment for code development, review, and optimization.

Hey @roocode community! I'm thrilled to share a project born from my work with Roocode and the vision of an AI-powered development team: the Anubis MCP Server! This system is heavily inspired by Roocode and designed to orchestrate an AI development workflow based on agile methodology. It simulates

A Model Context Protocol server that allows Claude to search and display Pokemon Trading Card Game cards with filtering by attributes like name, type, legality, and statistics.