Higgsfield Mcp Unified

higgsfield-mcp-unified

Unified Model Context Protocol (MCP) server for Higgsfield AI. It puts 43 Higgsfield image and video models — Sora 2, Veo 3.x, Kling 3.0, Seedance 2.0, Wan, Soul, DOP, Nano Banana, FLUX, and more — plus Soul character training, account/history, and talking-head speech behind a single, typed tool surface for any MCP client (Claude Desktop, Claude Code, Cursor, …).

> Status: alpha. Local/self-hosted and not yet on PyPI — install from source (below). The cloud web backend is opt-in and experimental.

Why this over the hosted MCP

The official hosted MCP (mcp.higgsfield.ai) is great but runs on Higgsfield's servers behind OAuth. This one is local-first and adds things a hosted server can't:

• Runs on your machine — prompts and media go straight to Higgsfield, no intermediary proxy.
• Dual backend under one surface — routes per model across the official REST API and the cloud web app.
• Typed structured output — every tool returns a schema'd result (outputSchema + structuredContent), not an opaque blob.
• Discovery without burning a generation — recommend_model, validate_params, preflight_check, and an MCP resource catalog.
• Reliability built in — retries with backoff + jitter (honoring Retry-After), a circuit breaker, idempotency keys, and a structured error taxonomy.
• MCP prompt templates — reusable cinematic/product scaffolds.

Backends

• Official REST API (platform.higgsfield.ai) — stable, KEY:SECRET auth. Default; rock-solid.
• Cloud web app (fnf.higgsfield.ai) — the newest models, reachable only via a Clerk cookie. Opt-in and experimental (see warning below).

Install (from source)

Not published to PyPI yet. Clone and run with uv:

git clone https://github.com/Hikhakk/higgsfield-mcp-unified
cd higgsfield-mcp-unified
uv sync
uv run higgsfield-mcp        # starts the stdio MCP server

Configure

The official backend needs two environment variables:

export HIGGSFIELD_API_KEY=...        # from the platform.higgsfield.ai dashboard
export HIGGSFIELD_SECRET=...

To unlock the cloud-only models (Sora 2 / Veo 3.x / Kling 3.0 / …), opt in to the web backend:

export HIGGSFIELD_ENABLE_WEB_BACKEND=1
export HIGGSFIELD_CLERK_CLIENT=...   # __client cookie from cloud.higgsfield.ai (lasts ~7 days)
# or, for one-shot tests only:
export HIGGSFIELD_JWT=...            # __session cookie (expires in ~1 minute)

Run preflight_check from your client to confirm both backends are reachable before generating.

> ## Web backend is experimental and will likely break > > The cloud.higgsfield.ai / fnf.higgsfield.ai surface is not a public API — it is the consumer web app's private backend, integrated by reverse-engineering. Expect: > > - Auth churn. The Clerk JWT lives ~1 minute. The server refreshes it from a long-lived __client cookie, but Clerk rotates that cookie too (~7 days). When it rotates, paste a new one. > - Bot protection. fnf.higgsfield.ai sits behind Cloudflare's managed challenge (TLS fingerprinting). Browser-impersonating TLS (curl_cffi) clears it today, but it is brittle. > - Schema drift. Endpoint paths, body keys, and slugs are undocumented and change without notice. Several of the newest model endpoints in this server are marked inferred (best-guess, hidden by default) until verified against live traffic. > - Probably against ToS. Driving the consumer app programmatically is almost certainly unsupported. Review the terms before enabling it. > > Off by default. Without HIGGSFIELD_ENABLE_WEB_BACKEND=1, only the official-API models are reachable, and that path is solid.

Claude Desktop

~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "higgsfield": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/higgsfield-mcp-unified", "higgsfield-mcp"],
      "env": {
        "HIGGSFIELD_API_KEY": "...",
        "HIGGSFIELD_SECRET": "..."
      }
    }
  }
}

Cursor / Claude Code / any stdio MCP client: point at the same uv run … higgsfield-mcp command and pass env vars. See examples/.

Tools

| Tool | What it does | |---|---| | list_models(kind?, backend?, include_unverified?) | The model registry. Inferred (unverified) models are hidden unless include_unverified. | | recommend_model(intent, kind?, top?) | Rank models for a described goal (local, no API call). | | validate_params(model_id, params) | Check params against a model's supported set before submitting. | | preflight_check() | Validate auth + reachability for both backends without spending a generation. | | generate_image(model_id, prompt, …, soul_id?) | Submit a text-to-image / image-edit job (supports Soul character refs). | | generate_video(model_id, prompt, image_url?, …) | Submit a text-to-video / image-to-video job. | | generate_batch(requests[]) | Fan out multiple image/video submits concurrently. | | generate_speech_video(image_url, audio_url, prompt?) | Talking-head video from a face image + WAV audio. | | get_status(job_handle) / subscribe(job_handle) | Poll, or long-poll until terminal, with output URLs. | | cancel_job(job_handle) | Cancel a queued/in-progress job. | | upload_image(path \| data_base64, backend?) | Upload a local image and get a hosted URL. | | create_character / get_character / list_characters / delete_character | Train and manage reusable Soul characters. | | list_soul_styles() / list_motions() | Soul style and DOP motion presets, by name. | | get_balance() | Available credits + plan (official backend). | | list_jobs(page?, page_size?) | Recent generations (history). |

Resources & prompts

• Resources: higgsfield://models (full catalog) and higgsfield://models/{kind} — subscribe to the catalog instead of repeatedly calling list_models.
• Prompts: cinematic_shot, product_360, animate_portrait, action_sequence, b_roll — parameterized scaffolds to feed into the generation tools.

Models

Run list_models() (or read the higgsfield://models resource) for the live catalog. The registry carries a confidence tier:

• verified — endpoint confirmed against SDK source / live probe (shown by default).
• inferred — slug confirmed real but the endpoint is a best-guess pending live verification (hidden unless include_unverified=true, and noted as such).

Official backend (verified): Soul, Reve, Seedream v4 (text-to-image + edit), FLUX.1 Kontext Max, DOP (preview/standard), Seedance v1 Pro, Kling v2.1 Pro. Cloud backend: Kling 3.0 / O3 FLF, Seedance 2.0 / 1.5, Wan 2.6, Veo 3, Grok, Sora 2, Nano Banana, Soul v2, OpenAI Hazel, and newest-tier inferred entries (Veo 3.1, Wan 2.7, Kling 3.0 Turbo, Hailuo 02, FLUX.2, Z-Image, Cinematic Studio, …).

Development

uv sync --extra dev
uv run --extra dev pytest -q
uv run --extra dev ruff check . && uv run --extra dev ruff format --check .
uv run --extra dev mypy src

Design specs and phased implementation plans live in docs/superpowers/.

Contributing

PRs welcome. See [CONTRIBUTING.md](CONTRIBUTING.md). Merges to main require code-owner approval (@Hikhakk) and green CI.

Credits

Built on two earlier community efforts:

• geopopos/geo_higgsfield_ai_mcp — first Python MCP for the official API.
• jfikrat/higgsfield-mcp — first MCP to expose the cloud web models; source of the original model registry.

License

MIT — see [LICENSE](LICENSE).

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Hikhakk
• Source: Hikhakk/higgsfield-mcp-unified
• License: MIT

Install and usage instructions live in the source repository linked above.