Magnific
Magnific in natural language: upscale images, generate and list your creations.
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What it can do
What data it sees
Do you need an account
No: the server works without sign-in
Magnific in natural language: upscale images, generate and list your creations. Connect your Magnifi
How to connect
How to connect Magnific to Claude
The server address to paste into Claude settings:
https://api.mcp.ai/p_magnific
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect Magnific to ChatGPT
The server address to paste into ChatGPT settings:
https://api.mcp.ai/p_magnific
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect Magnific to Cursor
The server address to paste into Cursor settings:
https://api.mcp.ai/p_magnific
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (67)
Raw names from tools/list. Only developers need these.
| magnific_account_balance | User plan + credits. Check before paid generations. Returns plan.{tier,productName,isUnlimitedMode}, credits.{available,totalPlan,spent,hasExtraCredits}. No history. |
| magnific_creations_wait | Long-poll 1..8 creations until terminal or `timeoutSeconds` (default 25, max 25). In-progress entries get `poll_after_seconds` for the next call. |
| magnific_creations_get | Single creation complete data — metadata + URLs (`url` full-res, `previewUrl` ~1024px, `thumbnailUrl` ~400px). |
| magnific_creations_search | Search user creations as raw TOON text. Use `creations_get` for one id. `reference` required with from=folder/project-root. Defaults: history, page 1. |
| magnific_creations_list | Filterable gallery widget (image/video/audio). Use instead of `creations_search` when user wants to browse their library. |
| magnific_creations_request_upload | Step 1 for local/user files: get presigned PUT URL(s). Upload bytes outside MCP, then call `creations_finalize_upload`. |
| magnific_creations_finalize_upload | Step 2 after PUT from `creations_request_upload`: convert temp path(s) to creations. Images <=25MB, videos <=200MB. |
| magnific_creations_upload_image | Upload public image URL in one step. For local/user files use `creations_request_upload` then `creations_finalize_upload`. |
| magnific_creations_upload_file | Import a file the user attached in the host (e.g. a ChatGPT upload) as a creation, then use the returned identifier in image tools. Use this instead of asking for a URL when the user already uploaded a local file. For a public URL use `creations_upload_image`. |
| magnific_creations_move | Move creations into `targetFolderReference`. Identifiers from `images_generate`/`creations_search`. Foreign identifier → abort. Target folder must belong to user. |
| magnific_creations_like | Toggle heart/favorite reaction on a user-owned creation. |
| magnific_creations_comment | Add a comment (or reply) to a user-owned creation. |
| magnific_folders_list | List folders/projects as raw TOON text. No params=top level; `onlyProjects`=projects; `parentReference`=children. Refs work with creations/folder tools. |
| magnific_folders_get | Fetch folder metadata by `reference`. Use before `creations_search` (`from=folder`). Foreign refs error. |
| magnific_folders_create | Create folder/project. No `parentReference`: workspace root. `type` defaults: project at root, folder when nested. |
| magnific_folders_rename | Rename a folder by `reference`. |
| magnific_folders_delete | Move a folder and its files to trash. |
| magnific_project_report | English markdown status report for a project/folder. Last 7 days default, max 30. |
| magnific_spaces_list | Lean spaces catalog as raw TOON text. Share each `webUrl`; call `spaces_show` only for inline canvas preview. Do not use `creations_search`. |
| magnific_spaces_create | Create empty Space. Share `space.webUrl`; only call `spaces_show` when inline preview is requested. |
| magnific_spaces_state | Read-only board context, raw TOON. Default: current page + pageIndex (other pages, counts). pageId: another page on demand. scope=all: whole board (costly). selectedElementIds: selected nodes. Needs view perm. |
| magnific_spaces_get_nodes | Read-only. Like `spaces_state` but scoped to `nodeIds` + their connections. Cheaper than full board. Needs view perm. |
| magnific_spaces_run | Run Space workflow from `startNodeId`. Modes: singular, connected default, downstream. Poll with `spaces_run_status`. |
| magnific_spaces_run_status | Poll `spaces_run`. `timeoutSeconds` long-polls up to 25s. In-progress returns `poll_after_seconds`; terminal call `creations_show`. |
| magnific_spaces_edit | External MCP only. Start headless Space edit. Poll `spaces_edit_status` until allTerminal, then verify with `spaces_state`. |
| magnific_spaces_edit_status | Wait for `spaces_edit` like `creations_wait`: long-polls up to `timeoutSeconds` (default 25, max 25). Snapshot-only when 0. Terminal → `spaces_state`. |
| magnific_images_generate | Generate/edit images. No refs=TTI. references[] (max 12; see field docs). Defaults: mode=auto, ratio=1:1, count<=8. resolution/quality per images_models_list. UI clients: after generating, MUST call `creations_show` with all identifiers; never stop at links. |
| magnific_images_remove_background | Cut-out subject on transparent PNG. Color BG: `images_color_background`. AI scene: `images_generate` with reference + prompt "replace the background with X". |
| magnific_images_upscale | AI upscale 2x/4x (Magnific, premium). Exact pixels: `images_resize`. Aspect: `images_crop`. Default scale=2. |
| magnific_images_skin_enhancer | AI skin enhancer. faithful preserves identity; creative reinterprets; flexible uses presets. Defaults: faithful, sharpen=0, smartGrain=0. |
| magnific_images_relight | AI relight. 1-4 lights with azimuth/elevation enums, type neutral|gel, intensity 1-10. Gel uses hex `color`. |
| magnific_images_change_camera | Reframe camera around subject. Defaults: rotate=45, vertical=0, closeup=5. |
| magnific_images_variations | Generate image-variation grid. Modes: angles|demographics|expressions|age|storyboard|custom. Defaults: angles, 3x3, 1:1, 4k. |
| magnific_images_crop | Center-crop to `aspectRatio`. Pixels: `images_resize`. AI upscale: `images_upscale`. Ratios: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 21:9. |
| magnific_images_resize | Resize to exact pixels (no AI). For real detail upscaling: `images_upscale` first. Aspect: `images_crop`. Dimensions snap to multiples of 8; center-crop on aspect mismatch. |
| magnific_images_to_svg | Trace raster creation into SVG. New vector from prompt: `images_generate_svg`. |
| magnific_images_generate_svg | Text-to-SVG (Recraft v4 Pro Vector). Raster: `images_generate`. Trace existing raster: `images_to_svg`. Default aspectRatio=1:1. |
| magnific_images_models_list | TTI model catalog as lean TOON text. `search` filters by name, slug, description, or tags. |
| magnific_library_list | Lean library catalog (characters, styles, elements, locations) for agent reasoning. Picker assets use library://. |
| magnific_library_create | Create a reusable library asset (character/product/location) from 1-6 images. Use the returned numeric `id` in generation refs (same id Spaces uses). No LoRA training. |
| magnific_models3d_generate | Image-to-3D GLB. Upload external images first. Animate with `models3d_rig`. Models: tripo-p1 default, tripo-v31, trellis-2. |
| magnific_video_plan | Call FIRST for any video request. Returns markdown plan: brief, open questions, characters to prepare, recommended model slug, prompt draft. Videos >15s: plan splits into clips + `video_concatenate` instructions. |
| magnific_video_generate | Generate video. External clients: call `video_plan` first to draft the brief and resolve model choice — skip only if the user explicitly says "just generate" or "one-shot". Pick a model with `slug` (copy it verbatim from `video_models_list`); omit `slug` for auto-select. Image refs: use an asset URL or a creation `identifier`; never `webUrl`. Limits: `video_models_list`. On UI-capable clients, after generating you MUST call `creations_show` once with all returned identifiers to render results; never stop at links. |
| magnific_video_models_list | Video-gen model catalog as lean TOON text. `search` filters by name, slug, description, or tags. Run `video_plan` first — plan resolves slug to validate here. |
| magnific_video_upscale | Upscale video via Topaz or Magnific. Pass `creationIdentifier` or Freepik `videoUrl`. Params: `video_upscale_models_list`. Then call `creations_show`. |
| magnific_video_upscale_models_list | Video upscale mode catalog as raw TOON text (topaz, magnific, magnific_precision) with required/optional params, ranges and enums. Read before calling `video_upscale`. |
| magnific_video_concatenate | Concatenate completed video creations into one MP4. Assembles multi-clip plans from `video_plan`. Audio from each clip; no external audio bed. Returns queued creation. |
| magnific_video_speak | Make a character speak. Image+audio → talking head (Veed Fabric 1.0). Video+audio → lip sync (Lipsync 2.0). Omit `mode` for auto. Pass asset URLs or a creation `identifier` (from `audio_tts`, `images_generate`, `video_generate`). Then call `creations_show`. |
| magnific_audio_tts | TTS voiceover. Single (voiceId) or 2-speaker (speakers). ElevenLabs/Google. No voiceId? Call `audio_voices_show` first (or `audio_voices_list` for agent-only lookup). |
| magnific_audio_music_generate | AI music generation. Google Lyria or ElevenLabs. Pass `prompt`, optional `model`/`durationSeconds`/`instrumental`. Lyria/Lyria-3 produce fixed 30s; Lyria-3-Pro accepts 30–180s; ElevenLabs accepts 10–300s. |
| magnific_audio_voices_list | TTS voice catalog as raw TOON text, no UI. Lean entries without preview URLs. Optional `search` filters by name, description, gender, or language. |
| magnific_design_auto_resize | Create resized design pages from an image. Use directly when ratios/social formats are known; otherwise show `design_auto_resize_show`. |
| magnific_design_auto_layers | Extract editable layers from a flat image into a Pikaso design. |
| magnific_flows_list | Flows catalog as raw TOON text, no UI. Lean entries without preview URLs. For an inline picker use flows_show; for a single flow input/output spec use flows_get. |
| magnific_flows_get | Flow input/output spec as raw TOON text. Each input includes a normalized `kind`, `howToProvide`, and resolved `options`/`presetOptions` where applicable. Call before `flows_run`. |
| magnific_flows_run | Run flow. `flows_get` first for input specs. `inputs` is `{inputId: value}` (creation inputs from `creations_list`, voices from `audio_voices_show`). Returns `workflowRunIdentifier` → `flows_wait` → `creations_show`. |
| magnific_flows_wait | Long-poll a `flows_run`. Terminal: one entry per output creation with real `identifier` for `creations_show`. In-progress: `poll_after_seconds`. |
| magnific_stock_search | Search Freepik stock catalog by keyword. Returns items with IDs, titles, types, preview URLs. Use stock_get for full details, stock_download for file URL. |
| magnific_stock_get | Full details for a single Freepik stock item: preview URL, dimensions, formats, author. Bulk support: accepts ids for batched execution. |
| magnific_stock_download | Signed download URL for a stock item. Pass folder_reference to also save as a creation (rate-limited). Bulk support: accepts ids for batched execution. |
| magnific_stock_to_creation | Convert Freepik stock item → Pikaso creation. Use after user selects from stock_show. Bulk support: accepts ids for batched execution. |
| show_version | Show the current MCP platform and adapter versions. |
| report_bug | Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction. |
| connect | Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs. |
| toolkit_info | Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes. |
| marketplace | The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/<slug> link that opens without login. |
| authenticate | MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "<jwt>" } after the user pastes, or with no args to get the link. |