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Magnific MCP Server

answering

Magnific is answering right now. Last checked 13 min ago. It exposes 67 tools. Last commit 21 Aug 2026.

Magnific in natural language: upscale images, generate and list your creations. Connect your Magnifi

Uptime history 28 days of history · worst day 97%
28 days agonow
100.0%
Uptime 24h
91 of 91 checks
67
Tools
read from the server
1183 ms
Response time
average over 24h
0
Stars
last commit 21 Aug 2026

What changed 62

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 22 August 2026. No other catalogue keeps this.

13 Sep a tool changed version
9 Sep a tool changed version
8 Sep a tool changed version
7 Sep a tool changed version
6 Sep a tool changed version
5 Sep a tool changed version
4 Sep a tool changed version
3 Sep a tool changed version3 times that day
2 Sep a tool changed version5 times that day
1 Sep a tool changed version2 times that day
and 52 more, back to 22 August 2026

Magnific does not always answer

Over the last week it answered 99.2% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 min ago.

run in your terminal
claude mcp add magnific-mcp --transport http https://api.mcp.ai/p_magnific
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "magnific-mcp": {
      "url": "https://api.mcp.ai/p_magnific"
    }
  }
}
~/.codex/config.toml
[mcp_servers.magnific-mcp]
url = "https://api.mcp.ai/p_magnific"
.cursor/mcp.json
{
  "mcpServers": {
    "magnific-mcp": {
      "url": "https://api.mcp.ai/p_magnific"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "magnific-mcp": {
      "url": "https://api.mcp.ai/p_magnific"
    }
  }
}

Available tools 67

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

magnific
magnific_account_balance
User plan + credits. Check before paid generations. Returns plan.{tier,productName,isUnlimitedMode}, credits.{available,totalPlan,spent,hasExtraCredits}. No history.
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_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_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_creations_comment
Add a comment (or reply) to a user-owned creation.
magnific_creations_finalize_upload
Step 2 after PUT from `creations_request_upload`: convert temp path(s) to creations. Images <=25MB, videos <=200MB.
magnific_creations_get
Single creation complete data — metadata + URLs (`url` full-res, `previewUrl` ~1024px, `thumbnailUrl` ~400px).
magnific_creations_like
Toggle heart/favorite reaction on a user-owned creation.
magnific_creations_list
Filterable gallery widget (image/video/audio). Use instead of `creations_search` when user wants to browse their library.
magnific_creations_move
Move creations into `targetFolderReference`. Identifiers from `images_generate`/`creations_search`. Foreign identifier → abort. Target folder must belong to user.
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_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_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_upload_image
Upload public image URL in one step. For local/user files use `creations_request_upload` then `creations_finalize_upload`.
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_design_auto_layers
Extract editable layers from a flat image into a Pikaso design.
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_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_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_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_folders_create
Create folder/project. No `parentReference`: workspace root. `type` defaults: project at root, folder when nested.
magnific_folders_delete
Move a folder and its files to trash.
magnific_folders_get
Fetch folder metadata by `reference`. Use before `creations_search` (`from=folder`). Foreign refs error.
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_rename
Rename a folder by `reference`.
magnific_images_change_camera
Reframe camera around subject. Defaults: rotate=45, vertical=0, closeup=5.
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_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_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_images_relight
AI relight. 1-4 lights with azimuth/elevation enums, type neutral|gel, intensity 1-10. Gel uses hex `color`.
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_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_skin_enhancer
AI skin enhancer. faithful preserves identity; creative reinterprets; flexible uses presets. Defaults: faithful, sharpen=0, smartGrain=0.
magnific_images_to_svg
Trace raster creation into SVG. New vector from prompt: `images_generate_svg`.
magnific_images_upscale
AI upscale 2x/4x (Magnific, premium). Exact pixels: `images_resize`. Aspect: `images_crop`. Default scale=2.
magnific_images_variations
Generate image-variation grid. Modes: angles|demographics|expressions|age|storyboard|custom. Defaults: angles, 3x3, 1:1, 4k.
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_library_list
Lean library catalog (characters, styles, elements, locations) for agent reasoning. Picker assets use library://.
magnific_models3d_generate
Image-to-3D GLB. Upload external images first. Animate with `models3d_rig`. Models: tripo-p1 default, tripo-v31, trellis-2.
magnific_project_report
English markdown status report for a project/folder. Last 7 days default, max 30.
magnific_spaces_create
Create empty Space. Share `space.webUrl`; only call `spaces_show` when inline preview is requested.
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_spaces_get_nodes
Read-only. Like `spaces_state` but scoped to `nodeIds` + their connections. Cheaper than full board. Needs view perm.
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_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_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_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_get
Full details for a single Freepik stock item: preview URL, dimensions, formats, author. Bulk support: accepts ids for batched execution.
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_to_creation
Convert Freepik stock item → Pikaso creation. Use after user selects from stock_show. Bulk support: accepts ids for batched execution.
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_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_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_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_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`.
authenticate
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.
connect
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.
marketplace
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.
report
report_bug
Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
show
show_version
Show the current MCP platform and adapter versions.
toolkit
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.

Endpoints

URLTransportStateLatencyChecked
https://api.mcp.ai/p_magnific streamable-http answering 936 ms 13 min ago

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Magnific — questions

Answers built from our own checks of this server.

What can Magnific do?
It exposes 67 tools, read directly from the server on our last check. Among them: authenticate, connect, magnific_account_balance, magnific_audio_music_generate, magnific_audio_tts, magnific_audio_voices_list and 61 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Magnific working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 1183 ms. The bar chart above shows every period we have measured.
How do I connect Magnific?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Magnific need an API key?
No. Magnific completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 67 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Magnific?
It answers our handshake in 1183 ms on average, which is faster than 5% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Magnific open source?
Yes — it is published under the MIT licence and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.