"Local small language model for filesystem and network tasks" matching MCP servers:

Go server implementing Model Context Protocol (MCP) for filesystem operations.

Node.js server implementing Model Context Protocol that enables seamless interaction between Windows and Linux distributions under WSL, allowing file operations like reading, writing, searching, and managing files across the WSL filesystem from Windows.

High-performance MCP server giving AI agents advanced filesystem and automation capabilities on Windows, with 26 tools across file I/O, search, Git, process management, and more.

MCP server that enables AI agents to start, monitor, and stop background processes like dev servers, builds, and tests, with a web dashboard.

A small MCP server that wraps MoneyMoney on macOS via AppleScript, exporting account lists and transactions (bookingDate, amount, name, purpose) as plists for invoice reconciliation, complementing a companion Apple Mail server.

Enables comprehensive filesystem operations across Linux, macOS, and Windows with platform-aware command execution, secure path restrictions, and intelligent adaptations for file search, directory management, and shell commands specific to each operating system.

Provides a local MCP bridge for AI assistants to control a Mac by observing screen state and performing actions like mouse movement, clicking, typing, and opening URLs.

Enables ChatGPT in Chat mode to read and write local files, view the screen, and control the macOS desktop, with target locking and local permission controls.

Enables ChatGPT to read and write local files, view the screen, and operate Windows desktop windows, mouse, and keyboard through MCP stdio and OpenAI's Secure MCP Tunnel.

Provides AI assistants with direct access to multi-vendor network devices for tasks like configuration management, health checks, and topology discovery through 35 specialized tools. It enables natural language control over platforms including Cisco, Juniper, and Nokia using SSH, NETCONF, and SNMP protocols.

Enables ChatGPT to securely access local files, shell commands, processes, Skills, and external MCP servers through a controlled local bridge with lock/unlock permissions and a Windows desktop control center.

Enables Claude Code on Windows to read the foreground window's UI Automation tree as structured text and then act on it with real, human-like SendInput mouse and keyboard events. It drives desktop apps through a perceive-decide-act loop without screenshots, a vision model, or any locally hosted LLM.

Enables secure filesystem operations with directory sandboxing and optional read-only mode. Supports file reading/writing, directory management, file searching, and text operations while restricting access to specified directories.

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.

Provides full access to a local Windows computer via MCP, enabling arbitrary command execution, file operations, and process management through a secure stdio or HTTP tunnel.

Enables ChatGPT to securely control a local workstation via an MCP tunnel, exposing 44 tools for file/project editing, git, process supervision, browser automation, and Office document handling across macOS, Linux, and Windows.

Enables an AI agent to operate a spare Android phone through MCP: capture screenshots, inspect UI controls, tap/swipe, input Chinese text, launch apps, and optionally run rooted shell commands or transfer files. It also supports a live web console for remote viewing and control.

This MCP server gives ChatGPT controlled access to your Windows PC, enabling it to inspect files, run commands, apply patches, and interact with the desktop under your supervision.

Enables ChatGPT to securely control a Windows PC via a local agent, supporting file operations, Chrome automation, and allowlisted apps with audit logging and approval workflows.

An unofficial self-hosted MCP server that enables ChatGPT to run commands on your computer through a secure tunnel, manage processes, and work within a specified project directory.