Best MCP Servers for Image and Video Generation

TL;DR

• 1. OpenArt covers the widest MCP-exposed model catalog in this list and exposes Smart Shot's shot planning directly to agents.
• 2. Higgsfield pairs image and video generation with preset Skills and identity-focused Soul ID workflows.
• 3. Krea carries custom styles into agent-triggered image and video generation.
• 4. ImagineArt packages MCP tools into focused workflows such as Ad Studio and Fashion Studio.
• 5. Runway suits video-only workflows that do not need image generation in the same connection.

Set up OpenArt's MCP server.

What is an MCP server, and why does it matter for image and video generation

An MCP server connects an AI client such as Claude, ChatGPT, or Cursor to an external generation tool. You can request an image or video inside the conversation, and the client sends a structured tool call to the connected service. The service generates the asset and returns it without requiring you to switch between separate apps.

For creative work, the server determines which generation models and asset features your AI client can access. One server may support both images and video, while another may focus on a single format or a smaller model set. Client compatibility also affects whether the same connection works across Claude, ChatGPT, and Cursor.

People already compare creative MCP servers by name, including OpenArt and Higgsfield. A ranked MCP servers list helps you compare model access, supported clients, setup requirements, and pricing before connecting one to your chat.

What to look for in an MCP server for images and video

Model and format breadth. Check whether the MCP server handles images, video, or both. Review the exact models exposed through MCP because a platform's full catalog may not be available through its server.

Persistent assets and credits. Look for reusable generations, trained styles, characters, or brand assets that can inform later requests. A shared credit pool also lets you move between image and video work without managing separate balances.

Supported clients. Confirm support for the client you use. Claude, ChatGPT, and Cursor appear across several dedicated MCP products, while OpenClaw and Hermes have less consistent coverage.

Setup reliability. A short installation guide does not guarantee reliable execution. Connectors can install cleanly and still fail to surface their tools in the client, or surface them and never complete a call. Favor servers with client-specific instructions, browser-based sign-in, and clear troubleshooting steps, and expect to restart the client at least once during setup.

OpenArt

OpenArt ranks first because one MCP connection covers both image and video generation across the broadest model lineup in this list, and because Smart Shot's shot planning is exposed directly through MCP. Its MCP catalog spans image models including Nano Banana 2, Nano Banana 2 Lite, Nano Banana Pro, GPT Image 2, Seedream 4.5, Seedream 5 Lite, and Seedream 5 Pro, plus video models including Kling 3 Omni (image and video), Seedance 2.5, Seedance 2.0, Seedance 2.0 Fast, Seedance 2.0 Mini, Grok Imagine 1.5, Wan 2.7, PixVerse V6, and Gemini Omni Flash, with new models added regularly. You can connect Claude, ChatGPT, or Cursor through the OpenArt MCP setup page, which also documents connections for other MCP-compatible agents beyond those three.

OpenArt uses the same credit pool for supported MCP calls and its creation surfaces. You do not need to fund separate image and video accounts when a project moves between formats. Your available credits still depend on the model and generation settings you choose. Connecting requires no API key either, since the setup page authenticates through OAuth and account sign-in instead.

OpenArt also lets agent calls reuse assets from your library. Past generations and external image references can carry into later prompts, which helps you maintain visual continuity without uploading the same source image each time. Smart Shot's preview-shot-plan and generate-shot-video modes bring scene planning into agent-triggered work, returning reference views, a top-down camera floor plan, storyboard frames, and lighting notes from up to three character, product, or prop references. Seedance 2.5 extends single-shot generations up to 30 seconds with up to 30 image, 10 video, and 10 audio references.

Best for: Creators and agencies who want the widest image and video model choice in one connection, plus shot planning and a reusable asset library.

Pros

• The MCP catalog spans image models including Nano Banana 2, Nano Banana 2 Lite, Nano Banana Pro, GPT Image 2, Seedream 4.5, Seedream 5 Lite, Seedream 5 Pro, and Kling 3 Omni, with new models added regularly.
• The video lineup includes Kling 3 Omni, Seedance 2.5, Seedance 2.0, Seedance 2.0 Fast, Seedance 2.0 Mini, Grok Imagine 1.5, Wan 2.7, PixVerse V6, and Gemini Omni Flash.
• Smart Shot is live through MCP, giving agent calls access to shot planning and generation, not just single-shot output.
• The asset library lets you reuse past generations and image references in future agent calls.
• MCP access is included on every paid plan, starting at Starter, rather than gated behind a higher tier.
• Beyond Claude, ChatGPT, and Cursor, OpenArt's setup page documents connections for other MCP-compatible agents too.

Cons

• OpenArt's setup page names Claude, ChatGPT, and Cursor most prominently; check the live setup page for the full current list of other supported agents.
• Character Builder is not yet exposed through MCP.
• The MCP catalog represents a selected part of OpenArt's wider platform. You should check the live setup page for the current model list before choosing one for an automated workflow.

Pricing

OpenArt charges MCP generations through its credit system. The shared pool covers supported image and video calls, but generation costs vary by model and settings. MCP access is included on every paid plan, including Starter, while commercial usage rights on your output begin on Plus and above. Check current plan limits before estimating the cost of a high-volume workflow.

Higgsfield

Higgsfield ranks second because its MCP offering pairs image and video generation with packaged creative workflows. Its Skills layer includes presets for UGC and faceless content, while Soul ID lets you train a reusable identity for agent-triggered work. Higgsfield also treats Cursor as a first-class client alongside Claude and ChatGPT.

Best for: Creators who want ready-made social content workflows and consistent characters without building prompt sequences from scratch.

Pros

• Higgsfield supports both image and video generation through one connection.
• Skills reduce the prompt work behind repeatable formats such as UGC and faceless content.
• Soul ID helps preserve a subject's appearance across outputs.
• The setup page documents Claude, ChatGPT, Cursor, OpenClaw, and Hermes, broader client coverage than OpenArt currently documents.

Cons

• Higgsfield centers its MCP experience on its own models and workflow presets rather than a wide third-party catalog.
• Compare each exposed model list directly if model choice matters more to you than packaged Skills.

Pricing

Higgsfield routes MCP generation through your Higgsfield account and its credit model. Check the current plan limits and generation costs before choosing it for a high-volume workflow.

Krea

Krea ranks third because your trained styles travel with you into agent calls. Custom LoRAs help preserve a visual treatment across repeated generations, while presets for architecture, ecommerce, and TikTok UGC give you a practical starting point for common production work.

Best for: Designers who want their trained styles and LoRAs to carry into agent-triggered generations, not just manual sessions.

Pros

• Krea supports Claude, ChatGPT, Cursor, OpenClaw, and Hermes as MCP clients.
• The standard connection takes three steps and requires no API key.
• Custom style and LoRA persistence carries into agent-triggered generations, not just manual sessions in the app.
• Vertical presets for architecture, ecommerce, and TikTok UGC give you a starting point for common production work.

Cons

• Krea focuses its differentiation on trained styles and vertical presets rather than the widest possible model count.
• Style persistence only pays off once you have trained a LoRA, so there is setup work before the agent workflow returns much.

Pricing

Generation uses your Krea account plan and available credits. Check Krea's current pricing before estimating production costs because allowances can change.

ImagineArt

ImagineArt explains its MCP server through six tool-specific worked examples. Each example pairs a prompt with an output, so you can inspect how image generation, video generation, upscaling, and related tools behave before connecting an agent. Ad Studio and Fashion Studio package those raw tools into workflows for specific production tasks.

Best for: Marketers who want guided Ad Studio and Fashion Studio workflows instead of assembling individual generation tools.

Pros

• ImagineArt supports image and video generation through Claude, ChatGPT, Cursor, OpenClaw, and Hermes.
• Copyable prompts and tool-level worked examples make each capability easier to evaluate before connecting.
• Packaged Ad Studio and Fashion Studio workflows guide you through specific production tasks step by step.

Cons

• ImagineArt emphasizes packaged workflows more than broad model choice.
• The studio workflows target advertising and fashion, so other verticals fall back to the individual tools.

Pricing

ImagineArt uses a credit-based model, and generation costs vary by tool and model. Check the current plan terms before estimating production costs.

Runway

Runway gives you a focused MCP option when your agent workflow centers on video. You can generate clips through prompts and continue refining them in Runway's video workspace without requiring image generation in the same connection.

Best for: Video teams who already work in Runway and want agent-triggered clips without image generation in the same connection.

Pros

• Runway concentrates its MCP workflow on video, which keeps the available tools relevant to motion-focused projects.
• The connection places agent-triggered generations inside an established video creation workspace.

Cons

• Runway does not provide image generation through the same MCP connection.
• You will need another server if your agent must create still images and videos within one workflow.

Pricing

Runway uses subscriptions with credit allowances for generation. Video generation can consume credits quickly, so compare the plan limits with the clip length, model, and number of variations your workflow requires.

Comparison table

✅ means confirmed support. 🟡 means limited or not confirmed in the available product information. ❌ means unsupported.

Setup and pricing reflect what each provider documents on its own MCP setup page. Only Krea's setup page explicitly states a three-step, no-API-key connection in its own text; OpenArt's setup is also confirmed as OAuth-based with no API key needed, but this table does not assert a specific step count for OpenArt, Higgsfield, or ImagineArt beyond what their setup pages describe as a standard connector flow. Where a cell says "not documented," the available product information did not confirm it either way.

Which MCP server fits your workflow

Choose OpenArt when your agent needs the widest model catalog and shot planning through Smart Shot, not just single-shot image or video output. Pick Higgsfield when identity training and ready-made content workflows matter most, since Soul ID supports recurring subjects and Skills packages formats like UGC and faceless videos. Choose Krea when your workflow depends on custom styles or LoRAs that need to stay available during agent calls. Choose ImagineArt when you want packaged studio workflows for advertising or fashion, where its tool-by-tool examples give more guidance than a blank prompt box. Choose Runway when you only need video generation, though you will need a second server if your agent must also produce still images.

The trade-off across this list is breadth against packaging. Higgsfield, Krea, and ImagineArt each build their MCP offering around a specific advantage: preset Skills and Soul ID, trained styles, or guided studio workflows. Each of those is worth more than raw model count if it matches how you already work.

OpenArt takes the opposite approach, and its case rests on two things the others don't fully match together: the broadest, still-growing MCP-exposed model lineup in this list, and Smart Shot's shot planning running natively through agent calls rather than as a manual, in-app-only feature. Add a persistent library you can reference in later prompts, and it fits workflows that need several models and reusable creative assets. That breadth does not mean every model on OpenArt's wider platform is available through MCP.

Connect your client through the OpenArt MCP setup page.

FAQ

What is an MCP server?

An MCP server connects an AI client such as Claude, ChatGPT, or Cursor to external generation tools. OpenArt's MCP connection lets supported clients request images and videos using the models exposed through its MCP tools. You can generate creative assets without repeatedly moving prompts and reference files between applications.

How do I set up an MCP server for image and video generation?

MCP setup usually requires adding a server URL in your client's connector settings. For OpenArt, copy the URL from its MCP setup page, connect the server, and sign in when prompted. Your client should then display the available generation tools, though restarting the client may resolve cases where tools do not appear.

How do MCP server pricing and credits work?

MCP generation usually consumes credits according to the selected model and output settings. OpenArt uses a shared credit pool for supported MCP generations and other eligible creation surfaces. MCP access is included on every paid plan, including Starter, and commercial usage rights on your output begin on Plus and above. You can switch between exposed image and video models without funding separate accounts for each provider.

Do I need an API key to connect an MCP server?

No, for OpenArt and Krea specifically, both confirm on their own setup pages that you sign in with your existing account instead of generating an API key. The other servers in this list also point to account sign-in rather than a developer API key during setup, but check each provider's current setup page to confirm before connecting, since authentication details can change.

Which AI clients work with these MCP servers?

Claude, ChatGPT, and Cursor are supported across OpenArt, Higgsfield, Krea, and ImagineArt. Higgsfield, Krea, and ImagineArt also document setup for OpenClaw and Hermes, while OpenArt's documented setup currently covers Claude, ChatGPT, and Cursor. Check each provider's setup page for the client you use before connecting.

Why does a configured MCP server sometimes fail to appear or run in the client?

This is a known reliability issue independent of which server you connect. Two failures come up most often: a connector that installs without ever showing its tools in the client's server list, and a connection that reports success but never completes a tool call. Restarting the client, re-adding the connector, and confirming you completed the sign-in step resolve most cases.