"Installing MCP (Minecraft Coder Pack) servers into an IDE" matching MCP servers:

An AI-assisted, long-term memory system for IDEs, powered by Kuzu graph database. GraphMemory-IDE is an MCP server that provides semantic vector search, graph-based knowledge storage, and real-time analytics.

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.

Connects AI agents to Minecraft servers via RCON to execute commands, monitor logs, and perform read-only SQLite database queries. It is specifically designed to facilitate AI-assisted plugin development, live debugging, and automated testing workflows.

Compiles ISO 20022 readiness findings, remediation diffs, and simulated bank responses into sealed, tamper-evident audit evidence packs with Ed25519 signing and verification.

An MCP server for managing and operating Minecraft servers through multiple backend protocols including MCSManager API, RCON, and MSMP. It provides tools for instance lifecycle management, file operations, console commands, player administration, and server configuration with built-in security controls.

An MCP server that supercharges AI assistants with powerful tools for software development, enabling research, planning, code generation, and project scaffolding through natural language interaction.

A client library that connects AI agents to Minecraft servers, providing full game control with 30 verified skills for common tasks including movement, combat, crafting, and building.

Enables LLM agents to play and survive in Minecraft by abstracting low-level tasks like pathfinding, building, and crafting into high-level transactional commands. It utilizes a "Helix" architecture to handle execution and coordinate math autonomously, allowing models to focus on strategy and high-level intent.

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.

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Enables AI assistants to conduct research, plan projects, generate PRDs, user stories and task lists, scaffold full-stack starter kits, map codebases, curate context, and execute multi-step development workflows.

Equips MCP-compatible AI assistants with software development tools for research, codebase mapping, context curation, PRD/user-story/task generation, full-stack scaffolding, and multi-step workflow execution.

Enables AI assistants to research, plan, generate requirements, map codebases, create starter projects, manage tasks, and run multi-step software development workflows through MCP tools.

Enables AI assistants and developers to research, plan, generate requirements and starter projects, map codebases, manage tasks, curate context, and execute multi-step software development workflows through MCP-compatible clients.

Enables AI agents to browse and inspect a connected Todoist account, listing projects, sections, labels, and active tasks with optional project or filter-query scoping, plus full details for any single task. Supports both a hosted gateway endpoint and a standalone local stdio server.

Enables AI agents to query live ERP/CRM records through Odoo's external JSON-RPC API, covering contact and company lookups, sales orders and quotations, CRM leads and opportunities, customer invoices, and generic search_read access to any Odoo model. Runs either as a hosted gateway endpoint or a local stdio server.

Enables AI agents to browse and inspect Zoom meetings, access cloud recordings, and retrieve the connected user's profile through MCP tools.

An AI-driven platform for analyzing Polymarket prediction markets using on-chain data, offering smart money tracking, sentiment analysis, and arbitrage detection via natural language queries.

Enables AI interactions with a running Minecraft server inside a Docker container using RCON, allowing models to programmatically create Minecraft builds and manage the server.

Jinni is a tool to efficiently provide Large Language Models the context of your projects. It gives a consolidated view of relevant project files complete with metadata, overcoming the limitations and inefficiencies of reading files one by one. The philosophy behind this tool is that LLM context wi