"Information about Node.js or a network node" matching MCP servers:

Serves a lab's manuscript library over the Model Context Protocol, letting clients list works, read text, search paragraphs, browse figures and notes, and record dead ends. Access is filtered by per-person sharing tiers, so each contributor's chosen slice of text, figure previews, assets and notes is what gets exposed.

MCP server that enables AI clients to orchestrate multi-node LAN agents, with tools for remote command execution, file transfer, task delegation, and cross-node collaboration.

mcp-node-zig is an MCP server for remote machines. Drop it on a build box, a homelab server, a Windows host or a VPS, and any MCP client can run commands, drive long-running processes and read and write files there over one authenticated HTTP endpoint.

A lightweight server for managing local workspaces through file operations, Git version control, and Node.js development commands. It enables users to manipulate files, track repository status, and execute build or dependency scripts within their development environment.

A simple MCP server for managing tasks via a local JSON file, demonstrating resources, tools, and prompts for task reading, creation, and analysis.

Opinionated template for building Node.js stdio and HTTP MCP servers.

A comprehensive MCP server that enables file operations, mathematical calculations with unit conversions, and system information retrieval. Provides secure access to local file system, calculator functions with statistics, and system monitoring capabilities.

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.

A stateless MCP server for filesystem operations, command execution, and computation, designed for use with llama.cpp WebUI.

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.

An HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.

A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.

Enables interaction with the WhkerDB shared PDF editor to manage collaborative rooms, file structures, and real-time annotations. It allows users to upload PDFs and images, manage note trees, and sync data across platforms through natural language.

Provides a secure workspace for AI-driven file management and Python script execution designed to run on Vercel. It enables tools for full file operations and code execution within a sandboxed environment.

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.

Enables AI agents to inspect PDFs, merge or extract pages, and clean text entirely offline through the Model Context Protocol, with no uploads, API keys, or network calls.

Enables AI agents to drive 360° cameras by connecting, checking status, reading and changing settings, taking photos, recording video, browsing the gallery, and downloading media as cancellable background jobs, with local stitching and export of 360° footage. It is honest about backend limits, returning structured, explained errors for anything a given camera or connection cannot do.

A comprehensive Node.js server implementing Model Context Protocol (MCP) that enables filesystem operations, process management, and terminal session handling with an enterprise-grade security approach.

Enables agents to run read-only coverage and staleness checks on local folders and documents, reporting missing periods or mismatched figures without writes, deletes, or network calls.