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

Enables MCP clients like Cursor to manage local CurseForge Minecraft instances by creating world-specific mod profiles, editing configs, diagnosing crashes, and applying changes on disk before launching the game.

Enables control and administration of a Paper Minecraft server, including process management, in-game commands via RCON, file editing, and log monitoring.

Exposes the full Java Edition block and item registry as MCP resources and provides tools to look up, read, and place blocks (including block states) across simulated Overworld, Nether, and End dimensions. World edits are persisted per dimension, so builds survive restarts and can be inspected through dimension resources.

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.

Enables AI tools to understand a database, inspect schema, and run safe SELECT queries with SQL guardrails, plus optional codebase reading.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Enables AI agents to convert GitHub Flavored Markdown into formatted Word (.docx) files, including headings, lists, tables, links, code and images, with an optional Chinese official document (公文) font preset. Conversion runs locally, so no content is uploaded.

Enables AI agents to control and interact with a local Windows computer through authenticated MCP tools, including file operations, shell commands, process management, HTTP requests, and system/media inspection.

Enables local conversion of PDFs to Markdown, with automatic OCR fallback for scanned pages, image extraction, and page-by-page structure preservation.

Sends document files (EPUB, PDF, DOCX, etc.) to your Kindle via email using Amazon's Send to Kindle feature.

An MCP server that converts Markdown files containing Mermaid diagrams into PDF documents by rendering diagrams as SVG images. It provides a specialized tool to automate document conversion while ensuring all visual charts are correctly embedded in the final output.

A local MCP server for Cursor that converts Markdown files and Mermaid diagrams to JPEG images with configurable dimensions and quality.

Local MCP server that connects VS Code agents like Cline to OpenAI and provides workspace file tools (read, write, list) with restricted file access.

Provides a complete end-to-end MCP server implementation with file system tools, web scraping capabilities, and system information access. Includes ready-to-use configuration files and integration examples for Claude Desktop, ChatGPT, and other AI models.

An MCP server that converts Excel and Apple Numbers files to PDF format, enabling AI assistants like Claude to perform file conversion directly through conversation.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

Enables saving files and folders to a local NAS over NFS with automatic share discovery, smart mounting, and seamless file transfers.

Converts Markdown files and raw content into professionally styled PDFs with full support for Mermaid diagrams and syntax highlighting. It offers customizable page formats, margins, and modern typography for high-quality document generation.

Enables writing text content to Markdown files with folder organization and overwrite control, and listing recent Markdown files.

Enables an AI agent to host a shared folder or join an invite link as a participant in a collaborative editing session, reading, editing, and writing the files the room shares. Runs the same sync engine and wire protocol as editor clients, so an agent and a person or another agent converge on the same documents and see each other's changes.

Provides a standardized way to interact with MinIO object storage, allowing access to text files, binary files, and bucket contents while supporting operations like listing buckets/objects, retrieving objects, and uploading files.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

A local MCP runtime for macOS and Windows that enables ChatGPT to read, edit, search, run tests, and capture screenshots in your local project folder while keeping your source code on your machine.

A multi-server system that converts PDF documents to Markdown format using FastMCP architecture with upload and convert servers orchestrated by a reactive client agent.

Enables sending documents (Markdown, PDF, EPUB) directly to a Kindle via Amazon Send-to-Kindle email, with Markdown converted to EPUB using pandoc.

Enforces mandatory human approval before LLM agents can edit files, create files, or execute shell commands, using session tokens and audit logging.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

Converts vector PDF circuit schematics into evidence-preserving SchematicIR JSON with tools to inspect, convert, and validate schematic PDFs.

Enables agents to compress JPEG, PNG, and WebP images to a target byte size, split PDFs by page or ranges, and remove image metadata while processing local files without sending file bytes over the network.

Converts documents (PDF, Word, PPT, images, HTML) to Markdown via MinerU API. Supports URL and local file inputs with OCR, formula/table recognition, and automatic large file handling.