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Connect Genfire to your AI assistant and generate images, videos, music, and full workflows directly from your prompts.
Launch the app or open claude.ai and go to
Settings → ConnectorsClick Add custom connector, name it GenFire and paste the URL:
https://mcp.genfire.ai/mcpClick Add → Connect, sign in with your GenFire account — you're all set, now just ask Claude to generate an image.
mcp.genfire.aiOnce GenFire is connected, add a skill to teach Claude a whole workflow. Download the .skill file, then in Claude go to Settings → Capabilities → Skills and upload it. Describe what you want and Claude runs the whole workflow — rendering real video through GenFire without leaving the chat.
Turn any script or idea into a numbered director's shotlist with copy-ready Seedance 2.0 prompts — then render each shot as real video right in the chat.
Direct Hollywood-grade sequences with Kling O3 — cast recurring characters once, keep the same faces across every shot, and chain 5–10s clips into a flowing scene, rendered in-chat.
Restyle any real video — yours or a past generation — with one-line edits and 14 preset looks (anime, claymation, VHS…), plus fast text/image-to-video drafts, all in-chat.
Claude writes and directs full explainer films (20s–10min): scene-by-scene script, shot-specs, motion notes and captions — GenFire renders it in 41 visual styles.
65+ tools, one connection. Claude renders results in live interactive widgets; ChatGPT and token-tight agents get surfaces tuned to their limits (/chatgpt, /lite).
OAuth or API-key sign-in, credit balance, usage history, and live pricing.
Live catalog of 55+ models, published workflows, and voices. Inspect parameter schemas, defaults, and enums.
The workhorse. Image, video, speech, music, and sound effects across every model.
Post-production in a prompt — lipsync any video to audio, cut backgrounds, upscale, transcribe.
Push a local image, video, or audio file into GenFire storage and plug it into any generation.
Trained, face-faithful characters you can @-mention in any prompt.
Faceless reels end to end — script, voiceover, scenes, music, captions — plus recurring subscriptions that post on schedule.
Long-form explainers (20s–10min, 41 visual styles — your agent writes and directs the script) and auto-directed music videos cut to any song.
One image → rigged, textured 3D (GLB/FBX/USDZ). Your agent writes a game or app; GenFire hosts it at a shareable link.
Ingest a brand from its URL — logo, palette, fonts, voice — and pin reusable @-mention elements for any prompt.
Post finished videos straight to connected TikTok, Instagram, and YouTube accounts — now or on a schedule.
Run multi-step pipelines, fan a prompt out across models, fetch and display any past output.
Image generation, video creation, character training, and asset management in a single connection
> Generate a cinematic portrait of a woman standing alone in an empty subway
--model image.nano_banana_pro
--aspect 16:9
GenFire
Here she is. Dark coat draped over her shoulders, standing in an empty station.
→ portrait_01.png (4 variants)
Generative media
From static stills to full cinematic video — your agent picks the model, sets the parameters, and generates. Nano Banana Pro, Seedream, and Recraft for images. Veo, Kling, Seedance, and Sora for video. Up to 4K, aspect ratios from 21:9 to 9:21.
> Score a moody synthwave track and voice this script, then lipsync it to the clip
GenFire
Generating audio…
✓ musicLyria 3 Pro · full song
✓ voiceoverElevenLabs v3
✓ lipsynclocked to clip.mp4
Audio engine
Score it, voice it, sound-design it — without leaving the conversation. Lyria 3 Pro and ElevenLabs for music, multilingual speech in 30+ languages, cinematic sound effects, and lipsync that locks any video to any audio track.
> Make a 45-second true-crime reel and schedule one every morning
GenFire
Script written. Generating assets…
✓ voiceoverElevenLabs v3
✓ 8 scenesstyle-locked
✓ captionsburned in
✓ daily storyscheduled 9:00 AM
Ad engine
Faceless reels end to end: AI script, voiceover, style-locked scenes, music, and burned-in captions in a vertical 9:16 short — then a recurring Story that posts a fresh one on schedule. From one brief.
> Generate @sarah walking through a Paris street market, golden hour
GenFire
Resolved @sarah → threading 4 reference photos. Switching to edit mode…
→ sarah_paris_01.png · identity locked
AI influencer
Train a face-faithful character from a few reference photos, then @-mention them in any prompt. Identity threads through reference images automatically — same face across every location, outfit, and model.
hook_pack3 monetizable UGC hooks plus body and CTA
ugc_adOutcome-oriented ad script, full spoken script
creative_packProduct-aware angles, hooks, monetizable script
product_ad_variantsMultiple ad script variants for one offer
Workflows
Ready-made multi-step pipelines — hook packs, UGC ad scripts, creative packs, ad variants. Your agent picks the right workflow and passes the inputs automatically. One ask, a coordinated set of outputs.
Start small with a quick generation, or go deep with multi-model comparisons, character training, and full campaign workflows. Your agent handles the complexity.
Describe what you need and your agent picks the best model, sets the parameters, and delivers the result. Images, videos, or both.
Generate a cinematic wide shot of a neon-lit Tokyo alley at nightTrain an influencer, generate scenes across locations and styles, produce videos, and manage everything from your generation history.
Train an influencer from these photos, then generate a 10-image lookbookFan the same prompt out across Veo, Kling, Seedance, and Sora in one batch. Pick the winner and iterate from there.
Generate this scene on 4 different models and show me the resultsThe Model Context Protocol is an open standard that lets AI assistants call external tools. Connect the GenFire MCP server once and your assistant can generate images, videos, music, and full workflows mid-conversation — no copy-pasting between apps.
Not always. Claude and ChatGPT sign in with OAuth — just paste the server URL and log in with your GenFire account. Cursor, Codex, and Gemini CLI use an API key from the developer dashboard, sent as a Bearer header.
Generations through MCP draw from the same GenFire credits as the dashboard — identical pricing, no markup. The get_pricing tool returns live rates, so you can ask your agent what something costs before running it.
Claude (web and desktop), Claude Code, ChatGPT, Cursor, Codex, Gemini CLI, Windsurf, VS Code Copilot, OpenClaw, Hermes — anything that speaks MCP over Streamable HTTP. One server, every client: 65+ tools on /mcp, plus curated surfaces for ChatGPT (/chatgpt) and token-budget agents (/lite).
MCP is the universal option and the only one for chat apps like Claude and ChatGPT. In coding agents like Claude Code, Cursor, or Codex, the Skill drives the GenFire CLI directly with the same capability at roughly 95% lower per-call token cost.
Every run lands in your GenFire library, same as generating from the dashboard. Fetch any past output later with get_run_output, list history with list_runs, or browse it all at genfire.ai.
Default — Claude & most clients
https://mcp.genfire.ai/mcpThe full surface (65+ tools) with interactive widgets in claude.ai.
ChatGPT connectors
https://mcp.genfire.ai/chatgptCurated tool set sized to ChatGPT's connector limits.
Token-budget agents
https://mcp.genfire.ai/liteSame capabilities, trimmed schemas — for Perplexity, OpenClaw, Hermes & co.
Auth — all endpoints
OAuth sign-in, or Authorization: Bearer YOUR_API_KEYNeed a key? Create one in the developer dashboard.