"Guide to Building a Minecraft Protocol (MCP) Server" matching MCP servers:

A local MCP server that lets AI assistants control a Minecraft player on a local Paper server, enabling movement, block breaking/placing, combat, inventory management, chat, and op-level commands like teleport, gamemode, and summoning.

A Minecraft MCP Server powered by Mineflayer API. It allows to control a Minecraft character in real-time, allowing AI assistants to build structures, explore the world, and interact with the game environment through natural language instruction

Enables MCP clients such as AstrBot, Claude, Cursor, or custom scripts to control a Minecraft bot over SSE through 49 tools covering perception, movement, building, gathering, crafting, combat, farming, memory, social interaction, and autonomous skills. It supports multi-client body control, emotion and event context, and survival/companion behaviors.

Enables MCP clients to control a Minecraft survival character via Mineflayer, with a web UI, viewer, and custom TypeScript script execution.

Enables AI agents to control a Minecraft bot for movement, building, crafting, and instant schematic-based structure spawning via MCP tools.

Enables AI agents to control a Minecraft bot inside a Java Edition world via MCP, providing tools for movement, building, mining, combat, farming, trading, inventory, and world perception.

Exposes Minecraft server commands via RCON as a tool, and optionally powers an in-game AI chat listener that answers player questions using Claude.

Universal HTTP 402 Micropayment Protocol & Autonomous Economic Settlement Engine for AI Agents on Base L2.

An MCP server that connects an AI assistant to a Minecraft server via a Mineflayer bot, supporting creative and survival modes with distinct toolsets.

Enables AI agents to operate a Minecraft Java Edition player through MCP, supporting movement, mining, crafting, combat, inventory, and chat with structured observations and action results.

An MCP server that enables AI agents to play Minecraft with full bot capabilities including pathfinding, block interaction, crafting, combat, and more.

Enables LLMs to control a Minecraft bot through the Mineflayer API, allowing for tasks like building, mining, and inventory management via natural language. It supports complex interactions including coordinate-based movement, block manipulation, and real-time game chat.

Enables an agent to control a Minecraft Java Edition client through Mineflayer, supporting authentication, chat and slash commands, pathfinding and movement, combat, block and entity interaction, inventory and container management, world snapshots and queries, PNG captures, and an opt-in raw packet escape hatch.

Enables AI agents to control Minecraft characters and build structures from blueprint files via MCP, with tools for listing, parsing, building, and verifying schematics.

Enables AI agents to control Minecraft via MCP with configurable versions, creative building commands, survival helpers, and an autonomous agent loop.

Enables AI agents to control Minecraft bots through over 30 verified skills including navigation, resource gathering, and advanced building. It allows for multi-bot management and seamless integration with MCP clients to automate complex in-game tasks.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Enables AI models like Claude to control a Minecraft character through natural language commands, supporting movement, inventory, block interactions, and more.

Enables AI agents to control Minecraft bots via natural language commands by bridging a Python MCP server with a Node.js Mineflayer bridge. It supports a wide range of in-game actions including complex pathfinding, resource gathering, crafting, and combat.

Enables AI assistants to remotely control a Minecraft player, including navigation, mining, building, and interaction with the world and other players.

This server enables MCP clients to control a real Minecraft Java player client with native first-person gameplay, structured spatial perception, bounded continuous actions, and optional livestream widgets.

Local MCP server that lets AI agents control a Minecraft Forge 1.20.1 NPC to chat, move, gather, craft, build, fight, and manage inventory in a single-player world.

Enables an MCP client to run and control an authorized local Minecraft Java game session with guarded inventory/crafting checks, a persistent backend, and a restartable controller while keeping configuration and game state local.

Trust, identity, and reputation infrastructure for AI agents. Register agents with W3C DID (Ed25519), check EigenTrust reputation scores, submit peer attestations, search agents by capability, and verify IPFS-anchored audit trails. 11 tools.

An MCP server that provides AI trading agents with persistent, outcome-weighted memory to learn from historical performance and detect behavioral biases. It enables agents to automatically adjust strategies and optimize position sizing based on context-aware recall of past trade outcomes.

Security-enforcing MCP proxy that sits between an AI agent and any number of downstream MCP servers, intercepting every tool call through a capability-token policy gateway that can allow, deny, or escalate to human approval before the call reaches any real tool. It also exposes built-in operator tools for approval workflows, audit trail queries, token management, voice/HUD output, and hierarchical

Provides time intelligence, persistent memory and complete traceability for AI coding agents. Enables sophisticated activity tracking, timezone management, smart reminders, and cross-session continuity with support for both per-project and centralized storage modes.

A TypeScript-based server that enables AI-powered control of Minecraft Bedrock Edition through 15 powerful tools for player movement, agent operations, world manipulation, and building complex structures.

An MCP server that enforces explicit task ownership acceptance and requires a provenance tag (observed, reviewed, or reported) on every completion claim, preventing silent inheritance and unverified assertions in multi-agent systems.

Universal coordination hub for AI agents. Find collaborators, negotiate terms, form contracts, and build reputation through an MCP interface. Supports natural language search across agent networks.