Higgsfield Unlimited MCP

An MCP server for Higgsfield AI that drives the generation API in unlimited mode (use_unlim: true) — the same call the official web app makes. It authenticates with your existing browser session (Clerk JWT, auto-refreshed), runs multiple accounts in parallel, and covers image, video, audio, upload, cost preview and job management.

Unlimited is granted per model + account by Higgsfield's server. This client sends the unlimited flag exactly like the web app; the server decides. Check unlimited_status before generating — if a model isn't unlimited-active for you it costs credits (estimate_cost).

Covered (34 tools): image (v1 + v2 models), video (text-to-video & image-to-video, 9:16, resolution fallback), audio (TTS + voice list), local-file upload, multi-account pool, cost/unlimited status, workspaces, media library, assets, job management.

Requirements

• Python 3.10+

• Claude Code (CLI, or the VS Code / JetBrains extension) — or any MCP client

• An active Higgsfield login in your browser

Related MCP server: midjourney-mcp-web

1. Install

pip install git+https://github.com/nukIeer/higgsfield-unlimited-mcp.git

Or from a local clone (what you have now):

pip install -e .

2. Get your credentials (~2 min)

Open https://higgsfield.ai in your browser, logged in. Then in DevTools (F12):

1. Session id — Console tab, run:

   window.Clerk.session.id        // → sess_xxxxxxxx

2. __client cookie — Application → Cookies → https://higgsfield.ai → copy the __client value (it's httpOnly, so it won't show in document.cookie).

3. datadome cookie — Console tab, run:

   document.cookie    // copy the datadome=... part

   The /jobs endpoint sits behind DataDome bot protection; without this cookie generation returns a 403 captcha. This cookie rotates — refresh it if you start getting 403s.

Put them in a .env file in the project root (copy .env.example):

HIGGSFIELD_SESSION_ID=sess_xxxx
HIGGSFIELD_CLERK_COOKIE=eyJ...
HIGGSFIELD_EXTRA_COOKIES=datadome=xxxx
HIGGSFIELD_DEFAULT_MODEL=nano-banana-2
HIGGSFIELD_DEFAULT_RESOLUTION=2k

.env is gitignored — your credentials never leave your machine.

3. Connect it to Claude Code (VS Code)

The server reads credentials from your .env via HIGGSFIELD_DOTENV (an absolute path), so no secrets go into the MCP config file.

Project-scoped — create .mcp.json in the project root:

{
  "mcpServers": {
    "higgsfield-unlimited": {
      "command": "python",
      "args": ["-m", "higgsfield_unlimited_mcp"],
      "env": {
        "HIGGSFIELD_DOTENV": "C:\\Users\\TESST\\Desktop\\higgsfield-unlimited-mcp\\.env"
      }
    }
  }
}

Or user-scoped (works in every project) — add the same mcpServers block to ~/.claude.json.

Or via the CLI:

claude mcp add higgsfield-unlimited -s user -- python -m higgsfield_unlimited_mcp

Then reload the window / restart Claude Code. Verify the tools are live by asking:

Use higgsfield-unlimited to run auth_status, then unlimited_status.

4. Verify (optional, CLI)

higgsfield-unlimited-verify --skip-generate    # auth + endpoints only, no credits

Multiple accounts (parallel generation)

One account serialises behind a per-account rate limit (429 rate_limit_reached). Add more accounts and the pool load-balances and fails a job over to another account on 429. Numbered credentials, each with its own session id, __client, and datadome:

HIGGSFIELD_SESSION_ID_2=sess_bbbb
HIGGSFIELD_CLERK_COOKIE_2=eyJ...
HIGGSFIELD_EXTRA_COOKIES_2=datadome=bbbb
HIGGSFIELD_SESSION_ID_3=sess_cccc
HIGGSFIELD_CLERK_COOKIE_3=eyJ...
HIGGSFIELD_EXTRA_COOKIES_3=datadome=cccc

auth_status lists every account; queue_status shows per-account load; jobs and every prompt in generate_image_batch route to the least-busy account. Pin a job to one account with account="account-2" (needed when you pass a pre-uploaded media id — ids are account-scoped).

Tools

Auth, account & cost

auth_status · account_info · unlimited_status (what's unlimited-active) · estimate_cost (credit table, no spend) · concurrent_state · queue_status

Models

list_models (with unlimited + api_version per model) · get_aspect_dimensions

Image

generate_image (v1 dash ids like nano-banana-2; v2 underscore ids like seedream_v5_pro, flux_2, gpt_image_2 with api_version="v2") · generate_image_batch · generate_storyboard

Video

generate_video — v2, defaults to viral 9:16, image-to-video via input_files, resolution fallback 1080p → 720p → 480p. Unlimited video models: seedance_2_0, seedance_2_0_mini, wan2_7, gemini_omni, kling3_0.

Audio

generate_audio (TTS, text2speech_v2, multilingual incl. Turkish) · list_voices

Upload & media

media_upload (local file → IP-checked media id) · show_medias · media_status · media_download_batch

Jobs

check_job · wait_for_job · cancel_job · list_jobs · download_job_result · show_generations

Workspaces & assets

list_workspaces · workspace_details · workspace_wallet · workspace_members · workspace_usage · list_assets · list_favourites · like_asset · unlike_asset

Advanced

generate_raw (any model + api_version, custom params — face-swap, upscale, inpaint, outpaint, explainer, …)

Usage examples (ask Claude in plain language)

Check what's free before spending:

Run unlimited_status, then estimate_cost.

Image — first frame for a video:

Generate a 9:16 image with nano-banana-2: "messy salon appointment notebook, warm evening light, cinematic".

Video — viral 9:16 (text-to-video):

Generate a 5s 9:16 video with seedance_2_0: "neon city rain at night, moody" (let it fall back to 720p).

Image-to-video (animate a local frame):

Animate ./frame.jpg into a 9:16 video with kling3_0, input_files=["./frame.jpg"].

Turkish voiceover:

list_voices, pick a female voice, then generate_audio that voice: "Randevularınızı tek yerden yönetin."

Batch across accounts:

generate_image_batch these 8 prompts at 9:16, fire-and-forget — then queue_status.

How it works

• Auth — the long-lived __client cookie mints short-lived Clerk JWTs (POST clerk.higgsfield.ai/v1/client/sessions/{id}/tokens), cached and refreshed proactively; a 401 forces a re-mint + one retry.

• Unlimited — every job sets use_unlim: true in params and the top-level body. The server enforces entitlement per model/account and returns 403 unlimited_generation_not_allowed when not covered.

• Two API generations — v1 POST /jobs/{dash-id} (input_images), v2 POST /jobs/v2/{underscore_id} (medias:[{role,data}], model field). Video and newer models are v2.

• DataDome — the create endpoint is bot-protected; the client forwards your browser's datadome cookie so your session is recognised. It does not solve challenges.

See docs/EXTENDING.md and docs/MODEL_SCHEMAS.md for the full verified request contracts (upload flow, video params, TTS, IP-check, endpoints).

Security

• Never commit .env — it's gitignored. Cookies equal your logged-in session; treat them like passwords.

• Credentials stay local — sent only to Higgsfield's own API.

• Rapid automated requests can trip DataDome (a browser verification / temporary IP flag). The client throttles itself — a minimum gap (+random jitter) between API calls per account (HIGGSFIELD_MIN_REQUEST_INTERVAL, default 1.5s; raise to 2.5–3s if you still see 403s). Refresh the datadome cookie if 403s persist.

License

MIT — see LICENSE.