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Higgsfield MCP

Higgsfield MCP lets agents generate authorized images, videos, characters, and audio, reuse prior creations, and inspect credit balances through Higgsfield's creative platform.

Verdict

Higgsfield MCP connects your Switchy workspace to Higgsfield's AI video generation platform. When you @mention it in a Project, the AI can trigger video creation jobs, check render status, and retrieve finished clips — useful for teams that produce social content, product demos, or marketing assets at scale. Because no tool schemas are documented yet, expect to authorize OAuth scopes that cover video generation and asset management. The integration works best when your team already has a Higgsfield account and understands its generation parameters (prompts, aspect ratios, duration limits).

Common use cases

  • Generate product demo videos from text prompts
  • Batch-create social clips for campaign launches
  • Check video render status during review cycles
  • Retrieve finished assets for client presentations
  • Automate video variants for A/B testing

Integration

Vendor
Higgsfield MCP
Category
other
Auth
OAUTH2
Composio slug
higgsfield_mcp

Tools

Per-tool listings haven't synced yet for Higgsfield MCP. The connection itself works - your Project can already @-mention it. Tool descriptions will fill in on the next Composio ingest.

Setup

Setup guide

  1. 11. Open your Switchy workspace and navigate to Settings > Integrations > MCP Servers. 2. Find Higgsfield MCP in the directory and click Connect. 3. You'll be redirected to Higgsfield's OAuth consent screen — sign in with your Higgsfield account. 4. Grant the requested scopes, which typically include permissions to create videos, read project metadata, and access rendered assets. 5. After authorization, Switchy redirects you back and confirms the connection is live. 6. Open any Project and type '@Higgsfield' in the chat to confirm the AI recognizes the integration. 7. Test by asking the AI to describe what Higgsfield can do or to check your account's current video quota. 8. If the AI reports no available tools, the MCP may still be in development — check back for updates or contact Higgsfield support for tool documentation.

What teammates see: by default, memories from Higgsfield MCP are scoped to the Project (PROJECT visibility) - you can mark any memory PRIVATE or share it ORG-wide.

Works well with

Top models

Compatibility data appears once enough Projects have used this MCP together with a given model.

How Switchy teams use it

Not enough Projects yet to publish anonymised usage stats (we require ≥ 50 Projects per week).

Starter prompts

Generate Product Teaser

@Higgsfield create a 15-second video showing a smartphone rotating on a clean white background with soft lighting

Check Render Queue

@Higgsfield show me the status of all video generation jobs from the past 24 hours

Retrieve Latest Clip

@Higgsfield get the download link for my most recently completed video render

Batch Campaign Videos

@Higgsfield create three 10-second videos: one with a sunrise theme, one with a cityscape, and one with abstract shapes

Estimate Render Time

@Higgsfield how long until my video job ID 12345 finishes rendering

Example outputs

Illustrative - representative of the model's voice and quality, not literal recordings.

Prompt

@Higgsfield generate a 5-second video of a cat walking through a futuristic cityscape at sunset

Output

Generated video request submitted. The MCP queued a render job for a 5-second clip matching your prompt. Estimated processing time is 2-3 minutes depending on server load. Once complete, the video will be available at the provided URL. The output uses default resolution (1080p) and frame rate (24fps) unless specified otherwise in your prompt.

Notes

This example shows the core video generation capability. OAuth2 scope must include video creation permissions. Generation is asynchronous — the MCP returns a job ID, not the final video immediately. Rate limits typically apply per account tier, so batch requests may queue.

Prompt

@Higgsfield check the status of my last three video generation jobs and show which ones are ready

Output

Job status retrieved: Job #4721 (cat cityscape) completed 4 minutes ago, video ready for download. Job #4720 (ocean waves) still processing, 68% complete. Job #4719 (mountain sunrise) failed due to prompt safety filter — flagged content detected. You can retry #4719 with adjusted wording or download #4721 now.

Notes

Demonstrates job monitoring, which is essential since video generation isn't instant. The MCP surfaces completion state, progress percentages, and error reasons. Users should expect occasional safety-filter rejections depending on prompt content — the MCP does not bypass vendor moderation policies.

Prompt

@Higgsfield list all videos I've generated this month, then summarize the most common themes in my prompts

Output

Retrieved 14 videos from your account since December 1st. Analyzing prompts: 6 featured natural landscapes (mountains, oceans, forests), 4 involved urban or futuristic settings, 3 included animals, and 1 was abstract motion graphics. Most used style keywords: 'cinematic', 'sunset', 'aerial view'. This suggests a preference for scenic, wide-angle compositions with warm lighting.

Notes

Pairs the MCP's video history retrieval with AI reasoning to surface patterns. Useful for teams auditing creative direction or planning next assets. Requires read access to account history. The summary quality depends on how descriptive your original prompts were — vague prompts yield vague patterns.

Use-case deep-dives

Early-stage product demos

When OAuth2 setup outweighs the tool value for small teams

A 3-person startup wants to pull Higgsfield data into Switchy for weekly product reviews. The OAuth2 flow adds friction: someone has to own the credential refresh, and if the integration breaks mid-demo, you're troubleshooting auth instead of shipping. Without documented tools, you're also guessing what the MCP actually surfaces—video metadata, render status, asset links? If Higgsfield is your single source of truth and you're already logged in daily, keep the work there. Use Switchy for the tools where the MCP's scope is clear and the auth is API-key simple. Revisit this one when the tool list ships and your team is big enough that centralized access beats per-person logins.

Agency client asset handoff

OAuth2 makes multi-client workflows harder than they need to be

A 6-person creative agency manages Higgsfield projects for four clients. Each client has separate credentials, and OAuth2 tokens expire on different schedules. In Switchy, that means four separate MCP instances or a shared credential that breaks when one client revokes access. The promise is consolidated asset lookup across clients, but the reality is you're re-authenticating mid-sprint. If your Higgsfield usage is read-heavy—pulling final renders into project briefs—a manual export to a shared folder is faster than debugging token refresh. The MCP wins only if Higgsfield becomes your team's daily hub and the tool list includes bulk export or search. Until then, OAuth2 is overhead without a clear return.

Support team knowledge retrieval

Generic integrations don't solve specific support problems

A 10-person support team wants to reference Higgsfield assets when answering customer tickets. The MCP has OAuth2, so access control is theoretically handled, but with zero documented tools, you don't know if it surfaces asset history, render logs, or just file names. Support needs fast, scoped search—'show me all renders for customer X in the last 30 days'—and if the MCP can't do that, you're back to the Higgsfield UI anyway. The OAuth2 setup is worth it only if the tool list proves the MCP can replace your current lookup workflow. For now, keep Higgsfield in its lane and use Switchy for integrations where the tools are named and the search is fast.

Frequently asked

What does the Higgsfield MCP do in Switchy?

The Higgsfield MCP connects your Switchy workspace to Higgsfield's platform, letting your team query and interact with Higgsfield resources directly from AI conversations. Since no specific tools are documented yet, expect read and write operations typical of Higgsfield's API once the integration matures. You authenticate once via OAuth2 and the whole team can use it.

Do I need special permissions to connect Higgsfield via OAuth2?

Yes. You'll need an account with API access enabled in Higgsfield, and you must authorize Switchy during the OAuth2 flow. If your Higgsfield workspace restricts third-party apps, ask your admin to whitelist Switchy's OAuth client before you start. The exact scopes requested will appear in the consent screen.

Can the Higgsfield MCP create or modify resources in my account?

That depends on the OAuth2 scopes you grant and which tools Higgsfield exposes through the MCP. Most MCPs offer both read and write operations. Check the permissions screen during setup—if you only see read scopes, you'll be limited to querying data. Decline write scopes if you want read-only access.

How is this different from using Higgsfield's web app or API directly?

The MCP wraps Higgsfield's API so your AI assistant can call it mid-conversation without you writing code or switching tabs. You lose the full UI and any features Higgsfield hasn't exposed via API. Use the web app for complex workflows; use the MCP when you want the AI to fetch or update Higgsfield data on the fly.

Who on my team should set up the Higgsfield connection?

Whoever owns your Higgsfield account and understands which scopes to grant. Once connected, all Switchy workspace members can invoke the MCP in their chats. The connection uses that person's Higgsfield identity, so audit logs in Higgsfield will attribute actions to them—plan accordingly if you need separate service accounts.

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Data last verified 61 hours ago.Sources aggregated hourly to weekly. See docs/architecture/model-directory.md.