"A guide for creating images" matching MCP servers:

MCP server for Claude Code that consolidates routine setup actions like project scaffolding, skills, landing page builds, guard hooks, images, and icons into a single entry point.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

Enables AI assistants to read local documents by converting PDFs, Office files, images, and audio to Markdown on-device, without uploading them.

stdio server to read markdown with images or index markdown headings from a file, folder or URL

Read selected local folders from ChatGPT on macOS, with per-folder read-only or read-write access and hash-checked, recoverable edits. Requires local installation and a private ChatGPT app. The Glama container is a synthetic evaluation demo; it does not connect to files on your Mac.

A local stdio MCP server for generating images using Google's Gemini image models, saving to disk as JPEG.

50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.

Enables an AI agent to host a shared folder or join an invite link as a participant in a collaborative editing session, reading, editing, and writing the files the room shares. Runs the same sync engine and wire protocol as editor clients, so an agent and a person or another agent converge on the same documents and see each other's changes.

A read-only MCP server that exposes AI Disk Doctor Core's scan, model inventory, and history tools via local stdio, with no mutation or shell capabilities.

A Model Context Protocol server that enables fetching and processing images from URLs, local file paths, and numpy arrays, returning them as base64-encoded strings with proper MIME types.

Extracts images from PDF files, allowing LLMs to access and analyze embedded images from local PDF documents.

A simple MCP server that reads local images and returns them as ImageContent for LLM vision analysis.

Enables an AI assistant to convert images among HEIC, JPEG, PNG, WebP, and AVIF entirely on the local machine, including converting a folder of files into a single zip. Access is confined to a user-specified root directory, metadata is stripped by default, existing files are never overwritten, and no network requests or telemetry are used.

Enables AI assistants to interact with a local folder of Markdown notes, supporting listing, reading, searching, creating, and appending to notes with strict security boundaries.

Provides direct, unsandboxed local machine access via filesystem, Python, Node.js, and shell commands for MCP agents.

MCP server for bulk-creating files and folders for any project, with built-in templates and custom scaffold support.

locidx

MCP server that encapsulates Apple Mail on macOS via AppleScript, enabling invoice PDF search, attachment saving, and message flagging through natural language.

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.

Bridges a remote, cloud-hosted agent to your local machine, exposing Pi's coding tools (read, write, edit, ls, grep, find, bash, powershell) rooted at a directory you choose. It also adds a human channel so the agent can message, question, and wait on you through tool calls instead of a platform chat UI, with OAuth 2.1 or bearer-token authorization and no persistence between runs.