"How to add, remove, and edit files on a local laptop" matching MCP servers:

Enables Claude Code to interact with Slack via MCP tools, allowing thinking steps, text streaming, status updates, and stream closure in Slack threads.

A laptop maintenance agent for Claude Desktop that inspects your machine, explains findings, recommends actions, and remembers history, with safety gates enforced by the server.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

Enables external AI agents to operate on the live PDF session open in the browser, reading documents, locating text, applying edits like text replacement and redaction, rendering pages, and undoing batches. Changes appear in the open tab within seconds through a shared tool surface.

Enables assistants to check ffmpeg/ffprobe availability and probe local video files, with local editing features such as cutting, captions, reframing, audio mixing, and rendering on the roadmap.

Enables AI agents to perform deterministic video editing operations like trim, resize, add text, and more using MCP tools.

Stdio MCP server for sandboxed file access — read files, search content, safely edit with checksums, and manage file structure.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Enables AI agents to safely explore directories, read files, search content by pattern or filename, and edit files with checksum verification and dry-run preview within sandboxed filesystem access.

Enables read-only listing and reading of files in an Azure Files SMB share, enforcing each user's NTFS permissions per request.

Enables atomic batch find-and-replace edits across single or multiple files, reducing tool calls and token usage for efficient code refactoring.

AI-powered image editing and generation server using Model Context Protocol, enabling intelligent image manipulation, cleanup, and generation via Google's Gemini AI models.

Provides safe local file operations through MCP, including reading, writing, searching, organizing, and protected deletion with configurable path restrictions.

Read, create, and modify Figma designs programmatically via MCP, empowering AI to execute Figma changes safer, cleaner, and faster.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

Enables running a stateless Model Context Protocol server over Streamable HTTP on Cloudflare Workers or any fetch-capable runtime, with signed sessions, origin checks, and JSON-RPC request handling. It lets developers define tools with JSON Schema validation and per-request context.

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.

Enables video editing via YAML/JSON edit specs, with validation and rendering using Remotion.

Provides hashline-based file editing using line-addressed edits and content hashes for integrity verification. It enables LLMs to perform precise file modifications while ensuring edits are rejected if the file content has changed since the last read.

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

A very simple vector store that provides capability to watch a list of directories, and automatically index all the markdown, html and text files in the directory to a vector store to enhance context.

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

Provides safe, allowlisted local filesystem access for MCP-compatible AI clients, enabling directory listing, file reading/writing (with byte limits), and text search while blocking paths outside approved roots and symlink escapes.

A humorous MCP server that always advises against shipping on Friday, returning a catastrophic risk level and a rotating reason.

A TypeScript-based MCP server that provides tools for making precise line-based edits to text files within allowed directories.

Enables MCP-compatible AI clients to connect to a Windows machine for file operations, PowerShell execution, Git inspection, task management, memory, and skills.

MCP server deployed on EdgeOne Pages, providing a Streamable HTTP MCP server for intelligent chat applications with tool capabilities like generating webpages.

A generic OpenAI-compatible subagent MCP server that lets Claude Code delegate coding grunt-work to a local model via a tool-calling agent loop, with configurable concurrency and backend.

Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.