"Information about queue-based systems or concepts" matching MCP servers:

Enables clients to read files, list tests, and run tests through MCP tool calls, while refusing apply operations.

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 managing a print queue for office documents via a WinUI GUI, supporting file drag-and-drop, queue status, and printing through MCP tools.

Enables AI assistants to inspect Ignition gateway backups, project exports and tag exports locally and turn them into an editable engineering reference and manual pack workspace. Runs over stdio so agents can explain, validate and complete the evidence-traced documents without uploading anything.

This server is to precess files for LNR.

Enables file extraction, organization, and GitHub repository management through MCP tools, allowing AI agents to copy/move files, delete repositories, and automate workflows.

Enables users to ask natural-language questions about a local folder's contents, including file names, sizes, and timestamps, with rollups by type and age and cleanup suggestions for stale or large files. It returns metadata only and cannot read, move, or delete files.

Reads and searches local email archives (.mbox or .eml) with full MIME parsing, enabling queries about senders, subjects, dates, and bodies while keeping all data on your machine.

Searches and browses local Claude Code and Cowork session histories stored on your machine, enabling questions about past work without uploading data.

Scans local folders for PDF papers, extracts title/abstract text, and moves files to categorized folders based on classification decisions made by Claude or another MCP server.

Model Context Protocol server for the Apideck Unified API. Connect any MCP-compatible agent framework to 100+ accounting systems, HRIS platforms, file storage providers, and more through one integration. More information https://www.apideck.com/mcp-server

Enables loading, reviewing, and redacting sensitive content in PDF documents through text-based or area-based redaction methods. Supports customizable redaction appearance and saves redacted PDFs with comprehensive error handling.

Enables MCP clients to access a local computer through a controlled, permission-based tool surface for read-only or developer-mode file, process, and terminal operations.

Enables users to access local files, manage persistent notes via CRUD, fetch URLs, inspect system information, and analyze or transform text through MCP tools.

Runs as an MCP server providing file system operations, shell execution, and system information tools, allowing Claude or any MCP client to edit files and control the machine.

MCP server to drive a local JDownloader 2 instance through its entire download lifecycle, including adding links/containers, linkgrabber management, queue control, priority, force-start, progress tracking, and cleanup.

Enables AI agents to explore, analyze, and search file systems, with tools for directory trees, file statistics, duplicate detection, code counting, and multi-criteria file search.

A TypeScript-based MCP server that enables Claude Desktop to perform file operations and retrieve system information, with built-in security features that restrict access to safe directories only.

Provides unified access to multiple file systems (local, S3, WebDAV, etc.) through OpenDAL, enabling file operations and cross-backend management.

A Model Context Protocol server that enables Claude Desktop and other MCP clients to interact with WebDAV file systems through natural language commands for CRUD operations.

Enables MCP-capable AI clients to read a local AI ticket triage queue and human decision log through four read-only tools for checking queue status, listing pending review items, viewing recent decisions, and searching decisions. It does not allow approving, rejecting, or sending anything.

A comprehensive Model Context Protocol server that enables AI assistants to interact with and manage Windows systems, providing capabilities for file system operations, process management, system information retrieval, registry operations, service management, network diagnostics, and performance monitoring.

A comprehensive Model Context Protocol server that integrates Elasticsearch search with file operations, document validation, and version control to transform AI assistants into powerful knowledge management systems.

Enables storing durable AI memories linked to local JSON or text sources, automatically superseding outdated structured values, flagging ambiguous changes for review, excluding expired information, and preserving revision history in a local SQLite database.

Enables interaction with z/OS mainframe systems via FTP, including dataset listing/download/upload, JCL job submission and monitoring, with advanced text processing and pagination support.

Implements the Model Context Protocol (MCP) to provide AI models with a standardized interface for connecting to external data sources and tools like file systems, databases, or APIs.

Enables managing personal information with dynamic topic-based organization (tasks, meetings, contacts, etc.), supporting optional OTP authentication and AES-256 encryption for sensitive data with automatic backups.

Bridges cloud-based AI orchestrators with local systems, enabling file management, terminal execution, and autonomous background tasks through the Model Context Protocol.

Enables MCP-compatible AI agents to browse, search, transfer, organize, pause, resume, and cancel files and folders across O2, Drive, OneDrive, and Google Photos accounts using the same local service and transfer queue as the desktop app.

Enables autonomous agents to securely access and manage virtual file systems, records, schemas, SQL and Mongo queries, and RAG search through scoped MCP tools, while supporting binary transfers via presigned S3 recipes.