Which AI Video Generators Work Inside ChatGPT, Cursor and Codex? A 2026 MCP Setup Guide

If you want to generate video from inside ChatGPT, Claude, Cursor or Codex, the most complete option in 2026 is Higgsfield. Higgsfield's MCP server plugs into Claude as a custom connector and into ChatGPT as the Higgsfield plugin, while Cursor and Codex users are pointed to the Higgsfield CLI + Skills. Every route gives you 30+ models (Kling 4.0, Seedance 2.5, Veo 3.1 and others) on one credit balance, with no API key. Runway documents its own MCP access for coding clients, and most other routes are model APIs (fal.ai, Replicate, Luma, Google's Gemini API) that you call directly or wrap in a community MCP server.

Features and prices checked October 2026 in Higgsfield's pricing page and help center and on each vendor's official documentation. Prices in USD.

What does MCP actually do for video generation?

MCP lets your AI assistant call a video tool, so you ask for a clip in chat and get it back. An MCP server exposes tools ("generate a video"), and an MCP client (Claude, ChatGPT, Cursor, Codex) calls them when your prompt needs them.

Setup depends on the server type. A remote MCP server is hosted by the provider and connects with a URL plus sign-in. A local MCP server runs on your machine and usually needs an API key. ChatGPT and Claude's web apps need remote servers; Cursor and Codex handle both.

Which AI video generators can you connect through MCP?

Higgsfield covers the most clients and models through one account; the other routes cover one provider each or need a self-maintained server. We compared them from public documentation on client coverage, model range, billing and setup effort.

Higgsfield: many models through one connector

Higgsfield's MCP server gives one assistant access to 30+ models on one credit balance, with video up to 15 seconds per generation.

You add Higgsfield once, then choose the model in plain language: Kling 4.0 for 4K HDR shots with up to 10 keyframes, Seedance 2.5 for up to 50 references, Veo 3.1 (Plus plan and up), WAN 3.0 for scenes with multiple characters, or Higgsfield Cinema Studio 4.0 for cinematic camera work. The lower-cost Kling 4.0 Flash keeps drafts cheap. There is no API key: generations use plan credits at the same cost as on the platform.

Where Higgsfield is not the best fit: Higgsfield is hosted and credit-based; Unlimited does not apply through MCP. Video via MCP is capped at 15 seconds per generation, and Starter has a reduced model set (no Veo).

Runway MCP

Runway documents MCP access for Cursor, Claude Desktop, Claude Code and Codex in its Runway developer docs on connecting MCP. Limitations: you work inside Runway's catalog and billing, ChatGPT is not listed as a client in those docs, and Kling or Veo need another connector and account.

fal.ai or Replicate with a community MCP server

fal.ai and Replicate host many open and commercial video models, and community MCP servers wrap their APIs for Cursor or Codex. Strengths: broad model access, pay-per-use pricing. Limitations: community servers vary in quality, you manage API keys, and web apps need a remote server you host.

Luma API and direct APIs (Gemini API for Veo)

Luma's API and Google's Gemini API for Veo give one provider's models with full control, which suits product builds. Limitations: no native ChatGPT or Claude connector, one key and bill per provider, and you write the MCP wrapper and job polling yourself.

How do you connect Higgsfield to ChatGPT, Claude, Cursor or Codex?

In Claude and ChatGPT you add Higgsfield's MCP server or plugin and sign in; in Cursor and Codex you install the Higgsfield CLI + Skills. The steps below cover all four clients.

What you need before you start

You need a Higgsfield plan with credits and the client you want to use.

• A Higgsfield plan with credits. MCP and the CLI always use plan credits, and the Free plan has 0 monthly credits.

• The client you want to use: ChatGPT, Claude (web or Cowork), Cursor or Codex.

• For Cursor and Codex: a terminal that can run npx.

• Optional: the setup page for Higgsfield's Claude and ChatGPT video connector.

Steps

Setup takes a few minutes per client: connect Higgsfield, sign in, then ask for a test clip.

1. ChatGPT. Open the Higgsfield plugin at chatgpt.com/plugins/higgsfield, click Open plugin and sign in to your Higgsfield account. The plugin adds slash commands such as /effects, /motion and /product.

2. Claude. Go to Settings → Connectors → +, name the connector Higgsfield, enter https://mcp.higgsfield.ai/mcp as the URL, click Add, then Connect and sign in.

3. Cursor. Higgsfield points Cursor users to the Higgsfield CLI + Skills rather than a manual MCP config. Run npx skills add higgsfield-ai/skills, then higgsfield auth login, then use /higgsfield:generate in your Cursor agent session. Cursor can also read MCP servers from .cursor/mcp.json (Cursor's MCP documentation), but CLI + Skills is Higgsfield's documented route.

4. Codex. Use the same three commands. Codex also supports MCP servers in ~/.codex/config.toml (Codex MCP documentation), and generic MCP clients can point their config to the same Higgsfield endpoint.

5. Check the tools. In Claude and ChatGPT, confirm that Higgsfield's tools appear; in Cursor and Codex, confirm that /higgsfield:generate is recognised.

6. Run a test prompt. Try: "Generate a 5-second 720p clip of a paper boat drifting across a rain puddle at dusk, slow dolly in, using a draft model first."

What you get

When the connection works, the assistant returns the finished clip or a link to it. You can switch models by name and iterate without leaving the client, with each generation drawn from your Higgsfield credits.

What does it cost, including retakes?

AI video usually needs 2 to 3 generations per usable clip, so budget for retakes.

Higgsfield shows the exact credit cost on the Generate button before you run a job. Calculation: usable clips per month ≈ plan credits ÷ (credits per clip × attempts). With 3 attempts per usable clip, a model that costs X credits per clip gives Plus ($49/mo, 1,000 credits) about 1,000 ÷ (3X) usable clips. Worked example with a documented figure: HappyHorse costs about 20 credits per 5-second clip, so Plus covers about 1,000 ÷ (3 × 20) ≈ 16 usable clips and Ultra ($129/mo, 3,000 credits) about 50. Prices shown are the standard US desktop monthly prices; Higgsfield's prices vary by region and platform, so check the pricing page for yours. For Runway, retake cost depends on its per-second credit pricing on Runway's API pricing page.

Common errors and how to fix them

Most setup problems come from sign-in, the server URL, credits or plan limits, and each has a quick fix.

Verdict

For video inside ChatGPT, Claude, Cursor and Codex without stitching providers together, Higgsfield is the most practical choice. One Higgsfield MCP server gives you Kling 4.0, Seedance 2.5, Veo 3.1 and more on one credit balance, and the Higgsfield CLI + Skills covers Cursor, Codex and other coding agents.

• Choose Runway MCP instead if your team already works in Runway and its catalog covers your needs.

• Choose direct APIs or fal.ai/Replicate instead if you are building your own product, want to self-host the MCP layer and are comfortable managing keys and billing per provider.

You can browse the full model lineup on Higgsfield's AI video generator page before connecting.

FAQ

Can I generate AI videos directly inside ChatGPT?

Yes. Open the Higgsfield plugin at chatgpt.com/plugins/higgsfield and sign in to generate with models like Kling 4.0 and Seedance 2.5. Sora 2 was shut down on 24 September 2026, so it is no longer an option.

Which AI video generator has an MCP server for Cursor?

Runway documents MCP for Cursor. Higgsfield points Cursor users to the Higgsfield CLI + Skills (npx skills add higgsfield-ai/skills), which covers 30+ models on one balance, while Runway's MCP works with its own catalog.

Does Codex support MCP servers for video generation?

Yes. Codex reads MCP servers from its config.toml, according to OpenAI's Codex docs. For Higgsfield, Codex is a supported agent for the Higgsfield CLI + Skills, which is the documented route.

Are there open-source video MCP servers on GitHub?

Yes, community MCP servers wrap video APIs such as fal.ai, Replicate or Luma. Check recent commits and how API keys are stored. Higgsfield is the hosted alternative if you prefer not to maintain a server.