"A server for managing Minecraft Fabric modpacks using Claude" matching MCP servers:

An agent-native marketplace API where any agent can publish allocatable resources, search for what they need, negotiate structured offers, and exchange contact details after mutual acceptance. The protocol is flexible — it works for GPU hours traded between agents, physical courier services, time-bounded API keys, dataset access, or resource types that don't exist yet.

Enables AI assistants to interact with and manage Minecraft servers through a standardized interface, supporting server monitoring, player management, log analysis, and command execution.

Enables querying Minecraft Java server status (e.g., online status, player count, version) via MCP, deployable as a Cloudflare Worker without authentication.

A Python-based MCP server that enables interaction with Microsoft Fabric APIs for managing workspaces, lakehouses, warehouses, and tables through natural language.

Provides access to 227+ expert-crafted Fabric AI patterns for tasks like summarizing, analyzing, and extracting wisdom, all through Claude Desktop with no API keys needed.

Governed network controller-layer operations (Cisco Meraki, plus Catalyst Center / Arista CVP / UniFi) — uplink loss/latency RCA, fleet health scoring, and config-template drift, with unbypassable audit logging (MCP + CLI), budget/runaway guards, and rollback.

Enables AI assistants to interact with Microsoft Fabric and Power BI services through the Model Context Protocol. Users can manage workspaces, execute DAX queries, refresh datasets, and create Fabric notebooks using natural language.

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

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

MCP server for Microsoft Fabric REST APIs that enables data engineers and analysts to manage Fabric components using AI assistants.

An MCP-native evidence retrieval platform that ingests source material, builds lexical and vector indexes, performs hybrid retrieval, and returns structured evidence packages for AI assistants.

A central tool aggregator that routes and orchestrates multiple fabric apps through a single MCP surface. It enables users to access a combined suite of specialized tools from various registered apps via a unified server connection.

Enables read-only access to Microsoft Fabric data-pipeline run history and DAX queries against semantic models, with optional write mode for pipeline execution and dataset refresh.

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.

Bridge between Fabric AI framework and MCP applications, enabling use of Fabric patterns and models in MCP-compatible environments like IDEs.

A Model Context Protocol server for Microsoft Fabric that enables AI agents to query and analyze Lakehouse and Eventhouse data, and manage Eventstreams, using natural language through the MCP interface.

Enables AI-powered project management by connecting Claude to Planka kanban boards via 75+ MCP tools for creating, updating, and managing projects, boards, lists, and cards.

An MCP server that enables AI assistants to manage network infrastructure through the Equinix Fabric API, including ports, connections, and service profiles. It provides 22 tools for tasks like creating virtual connections, managing service tokens, and querying metro locations.

Gives Claude read-only access to your own ring's health data — sleep, readiness, HRV, heart rate, activity, workouts, stress, resilience, SpO2, VO2 max and cardiovascular age — from claude.ai, desktop, and mobile. Runs as a private remote server on your own Cloudflare Worker, locked to a single account with OAuth-encrypted tokens and no stored health data.

Provides MCP tools to manage Microsoft Fabric capacities, including listing, creating, updating, and deleting them, using Azure authentication.

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.

Provides access to Daniel Miessler's Fabric AI prompts (patterns and strategies) through MCP, automatically syncing with the upstream repository to enable powerful prompt templates in AI workflows.

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

Enables querying Minecraft Java server status via the Model Context Protocol, deployable on Cloudflare Workers without authentication.

MCP server for managing Microsoft Fabric Reports with lifecycle management, filtering, and content manipulation.

Enables retrieval of Minecraft crafting recipes for a specified item, returning matching recipe data.

Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.

An AI conversation management layer that enables creating chat sessions, persisting message history to GitHub, and performing semantic searches over past interactions. It supports multi-turn threading and context injection to integrate external memory sources into Claude conversations.

Lets an AI assistant control a live Minecraft server over RCON: list players, broadcast chat, teleport, give items, change weather/time, kick, or run any raw vanilla/plugin command.

A composable semantic memory layer that provides cross-project recall and session context using Qdrant and OpenAI embeddings. It enables users to securely store, search, and manage persistent memories with built-in secret scrubbing for privacy.