"Information on Unreal Engine" matching MCP servers:

MCP server that integrates Everything file search engine on Windows, enabling fast file and folder searches using Everything syntax, plus version and status checks.

MCP server that enables natural language listing, unpacking, and exporting of Unreal Engine game resources via umodel, including AES-encrypted pak support.

Enables AI assistants to search local files and folders via the Everything search engine, with support for advanced queries, file metadata, text previews, and service status.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

Enables AI agents to drive a multi-connection download engine over stdio: probe URLs, start, monitor, wait on and cancel downloads, fetch HLS streams, and manage a persistent SQLite-backed queue. Agents can carry out instructions like downloading several URLs in parallel and reporting which ones failed.

Enables searching Google Custom Search Engine for images and saving them directly to the user's project directory.

Provides integration with Everything Search Engine allowing powerful file search capabilities through the Model Context Protocol with advanced search options like regex, case sensitivity, and sorting.

Converts HTML files or HTML content to PDF using Puppeteer's browser rendering engine with support for CSS, JavaScript, custom page formats, margins, and header/footer templates.

This server is to precess files for LNR.

Connects ChatGPT to local files, terminals, and the desktop through MCP with Chrome integration, letting users read and edit project files, run commands, and follow tool results as they arrive. It also adds durable multi-agent workers, Goal/Loop task tracking, mid-task corrections, and Compact & Resume for carrying session and worker history into a fresh chat.

MCP server for sandboxed, read-only SQL queries on CSV/Parquet/JSON files via DuckDB, limited to a specified directory.

Enables AI assistants to convert Markdown files and content to beautifully formatted PDF documents using Playwright's Chromium engine.

Intelligent file search engine with Frecency ranking, fuzzy matching, and Git awareness. Provides MCP server for AI agents to search files, content, and get file statistics via natural language.

It enables MCP-compatible AI clients to run local device, filesystem, shell, PowerShell, Git, browser, HTTP, clipboard and application actions on a Windows PC and a paired Android phone, with session-based device routing. Sensitive operations are gated behind configurable one-use approvals and recorded in a local SQLite audit.

Integrates with Everything Search Engine to provide lightning-fast file search capabilities across Windows systems using natural language queries and advanced filtering options through MCP-compatible applications.

Enables AI agents to create, read, view, and edit Apple Numbers spreadsheets through the Model Context Protocol, leveraging both a parser engine and the Numbers application for formula evaluation and export.

A read-only remote MCP server that searches and reads files from a personal Microsoft OneDrive folder via Cloudflare Workers, enabling live access without a local workstation or tunnel.

Enables ChatGPT to access approved local Windows folders, run commands, control the desktop, and manage session history through a permission-bounded MCP server.

Connects AI assistants to voidtools' in-memory indexing engine via native Windows IPC for millisecond file and folder searches, with advanced query syntax and tools for recent files, status, and sorted results.

A TypeScript MCP server example providing basic developer tools: hello world greeting, arithmetic calculator, and file information retrieval.

Surfaces forgotten notes from markdown vaults using wikilink graph structure and file mtime to identify dormant notes, then generates cross-domain bridge queries for serendipitous rediscovery.

Enables instant file and folder searching on Windows using Everything's blazing-fast search engine, supporting powerful search syntax including wildcards, regex, size filters, date filters, and comprehensive file information retrieval.

Gives ChatGPT hands-on control of a local machine: reading, patching and executing code in approved project folders, running real interactive processes, managing plans and worker sub-chats, and driving the browser or desktop through user-granted permissions. Every capability is a switch inside an approved-folder sandbox, so nothing runs that the user did not explicitly enable.

Enables ChatGPT to work on a local project by reading and editing files, running shell commands, keeping terminals and desktop sessions open, and splitting work across durable workers whose context persists between tasks. Long-running work can be steered mid-flight, tracked with Goal, and carried into fresh chats via Compact & Resume.

Enables AI assistants to search local files on Windows using the Everything search engine, supporting basic and complex file searches with filters like date, size, media type, and document type.

MCP server wrapping the YARA pattern-matching engine for binary triage, enabling users to compile and scan files against analyst-defined YARA rules.

A typed, policy-controlled OS capability layer for AI agents via MCP, exposing safe filesystem, git, and text-processing tools governed by a strict policy engine.

A deterministic, local-first memory engine for AI assistants that provides versioned context management via MCP, enabling token-budgeted context patches with provenance and explainability.

Lets ChatGPT work directly on a local project by reading and editing files, running shell commands and tests, keeping terminals open, and using the user's desktop, all paired with an approved workspace folder. It also splits independent jobs across persistent workers that retain context, while riding the user's existing ChatGPT plan rather than Codex quota.

Enables ChatGPT's web interface to operate a real Mac by executing shell commands and reading or writing files over a reverse SSH tunnel, without installing a client or consuming API quota.