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aiphotoeditor-mcp

by rocnubie
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AI Photo Editor MCP Server

Best AI Photo Editor - Free AI Image Editor & Generator Online

MCP Badge Node Read Only License: MIT Stdio Transport MCP

A Model Context Protocol server that exposes the canonical AI Photo Editor knowledge surface — image generation workflows and styles, pricing, FAQ, official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, no API keys, no quota, ~50 ms cold start.

Official website: https://bestaiphotoeditor.app

🎨 About AI Photo Editor

Best AI Photo Editor (bestaiphotoeditor.app) is a browser-based photo editing and image generation platform that brings together more than 40 AI models under one roof. Users can remove backgrounds, swap faces, enhance resolution, generate images from text prompts, and even produce short videos — all without installing any software. The service offers 55 free credits on sign-up with no credit card required, and paid plans include commercial usage rights and no watermarks. With over 25,000 users and 1.5 million images processed, the platform positions itself as a single destination for tasks that would otherwise require several separate tools.

Related MCP server: meigenai-mcp

Key Features

  • Multi-model image generation — access GPT Image 2, Flux Kontext, Nano Banana, Grok Imagine, Ideogram, Seedream, Imagen 4, and Z-Image Turbo from a single interface.

  • Background removal and replacement — clean cutouts and AI-generated background swaps suitable for product shots and portraits.

  • Face swap and headshot generation — replace faces in existing photos or generate professional-grade headshots from a selfie.

  • Image enhancement — upscale and sharpen photos up to 4K resolution; remove unwanted text or objects.

  • AI video generation — animate still photos or generate video clips from text using models such as Sora 2, Kling, Veo, Seedance, and Minimax Hailuo; output in MP4 at up to 1080p.

  • Fast, cloud-based processing — edits complete in 5–30 seconds; video renders in 1–5 minutes with no local compute required.

Use Cases

  • E-commerce product photography — create clean, studio-quality product images by swapping backgrounds or generating entirely new scenes around an existing product photo.

  • Professional headshots — produce polished headshots for LinkedIn profiles or company directories without booking a photographer.

  • Marketing content at scale — generate multiple visual variants for ad campaigns or social media posts by iterating across different AI models with the same prompt.

  • Portrait retouching — adjust hairstyle, remove blemishes or overlaid text, and enhance image sharpness in a few clicks.

  • Short-form video creation — animate a product photo or brand image into a brief video clip for social platforms, using AI video models directly integrated into the workflow.

Who Is It For

Best AI Photo Editor is aimed at people who need quality visual output quickly but do not want to maintain a large stack of specialized tools. That includes e-commerce sellers who produce frequent product images, solo content creators managing their own social channels, marketing teams that need to turn around visual assets on short deadlines, and small business owners who lack a dedicated design resource. The free entry tier also makes it accessible to photographers and digital artists who want to experiment with AI-assisted editing before committing to a subscription. The platform's breadth of models is particularly useful for anyone who regularly compares output quality across different AI systems without wanting to juggle multiple accounts.

Tools

list_styles

Return the canonical list of image-generation styles or presets the site exposes. (AI Photo Editor)

Input: no parameters. Returns: text/markdown.

get_pricing

Return the canonical pricing entry point for AI Photo Editor.

Input: no parameters. Returns: text/markdown.

get_official_links

Return the canonical list of official links for AI Photo Editor (website, support, docs when available).

Input: no parameters. Returns: text/markdown.

Resources

  • site://aiphotoeditor/styles — Supported image-generation styles and presets.

  • site://aiphotoeditor/pricing — Canonical pricing entry point.

  • site://aiphotoeditor/faq — Short FAQ generated from public site metadata.

  • site://aiphotoeditor/links — Canonical URLs to share with users.

Prompts

tell_me_about_aiphotoeditor

Summarize what the site is, who it's for, and how it works. — AI Photo Editor

try_image_style_aiphotoeditor

Recommend a starting image-generation style for a stated goal. — AI Photo Editor

Installation

Install via Smithery

npx -y @smithery/cli install aiphotoeditor-mcp --client claude

(Replace claude with cursor, windsurf, or continue for those clients.)

Install from source

git clone https://github.com/rocnubie/aiphotoeditor-mcp.git
cd aiphotoeditor-mcp
pnpm install

Then add to your MCP client config (claude_desktop_config.json for Claude Desktop, mcp.json for Cursor / Windsurf / Continue):

{
  "mcpServers": {
    "aiphotoeditor-mcp": {
      "command": "node",
      "args": [
        "/absolute/path/to/aiphotoeditor-mcp/src/index.mjs"
      ]
    }
  }
}

Debug with MCP Inspector

npx @modelcontextprotocol/inspector node src/index.mjs

Official Links

Development

pnpm install
pnpm start                 # run the server over stdio

License

MIT

Available Tools

3 tools
get_pricingA

Return the canonical pricing entry point for AI Photo Editor.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A3.6/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description bears full responsibility for behavioral disclosure. It only states 'Return', implying a read operation, but lacks details on data freshness, rate limits, or any side effects. Minimal transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, direct sentence with no unnecessary words. It is front-loaded and immediately communicates the tool's purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (no parameters, no output schema), the description covers the essential purpose. However, without an output schema, more detail on the return format (e.g., URL, object) would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has zero parameters, so no parameter semantics are needed. The description does not add parameter info, but the baseline for 0 parameters is 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Return') and the specific resource ('the canonical pricing entry point for AI Photo Editor'). It effectively distinguishes from siblings like list_styles and get_official_links by focusing on pricing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives, or when not to use it. Agents using sibling tools would benefit from context on when to choose get_pricing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list_stylesA

Return the canonical list of image-generation styles or presets the site exposes. (AI Photo Editor)

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A4.3/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description must convey behavioral traits. It states 'Return' and 'canonical list', implying no side effects. However, it does not specify response format or any constraints, which is acceptable given simplicity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence with no wasted words. Parenthetical '(AI Photo Editor)' adds slight redundancy but does not detract from conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Simple tool with no parameters, no annotations, no output schema. Description fully covers the tool's purpose and return value, leaving no gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Zero parameters, so baseline is 4. Description does not add parameter info, which is unnecessary and appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it returns the canonical list of image-generation styles, using the specific verb 'Return' and resource 'list of image-generation styles'. It distinguishes from sibling tools get_pricing and get_official_links.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implicitly clear when to use: when the canonical style list is needed. No explicit exclusions or alternatives, but siblings cover unrelated domains (pricing, links), so no confusion.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 3 tool updatesv0.1.0
    • First observedget_official_links
    • First observedget_pricing
    • First observedlist_styles
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TDQS

A3.8/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: listing styles, retrieving pricing, and fetching official links. No overlap or ambiguity.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with snake_case: list_styles, get_pricing, get_official_links.

Tool Count3/5

Three tools is on the low side for a server named 'aiphotoeditor'; it lacks any editing or manipulation tools, but for purely informational purposes it could be acceptable.

Completeness2/5

The server provides only read-only information (styles, pricing, links) but no tools to actually edit photos, apply styles, or perform any image operations, which is a severe gap given the server's name and implied purpose.

Resources

Unclaimed servers have limited discoverability.

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