Magnific
REMOTE · API.MCP.AI
Magnific in natural language: upscale images, generate and list your creations. Connect your Magnifi
Available components
Last scanned (10 hours ago)
Scores higher than 79% of remote servers
Reachable. Last reached 23 Oct 2026.
Category Design and Media
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security63
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS enforcement could not be verified: the plaintext port answered with HTTP 406, which proves neither a plaintext path nor enforcement. View diagnostics → Unverified
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability72
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 5490 tokens (~81/item across 67 items; 67 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage67
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- All 2 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
- An AI judge read all 68 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 23 Oct 26 0
- The server rewrote its instructions, which are the text every model session reads security
- Server version: 0.9.378 → 0.9.381 functional
- 22 Oct 26 0
- The server rewrote its instructions, which are the text every model session reads security
- Server version: 0.9.372 → 0.9.378 functional
- 11 Oct 26 0
- The server rewrote its instructions, which are the text every model session reads security
- Server version: 0.9.369 → 0.9.372 functional
- 10 Oct 26 0
- The server rewrote its instructions, which are the text every model session reads security
- Server version: 0.9.368 → 0.9.369 functional
- 4 Oct 26 0
- The server rewrote its instructions, which are the text every model session reads security
- Server version: 0.9.356 → 0.9.358 functional
- 3 Oct 26 +1
- Stability: 0.97 → pass security
- The server rewrote its instructions, which are the text every model session reads security
- Server version: 0.9.353 → 0.9.356 functional
- 1 Oct 26 −1
- The server rewrote its instructions, which are the text every model session reads security
- Stability: pass → 0.93 functional
- Server version: 0.9.351 → 0.9.353 functional
- 30 Sept 26 +1
- Stability: 0.97 → pass security
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 23 Oct 2026 · Probed https://api.mcp.ai/p_magnific
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=mcp.ai | CN=WE1,O=Google Trust Services,C=US | 28 Sept 2026 | 27 Dec 2026 | ECDSA 256 | ECDSA-SHA256 | 1bf4d405299e078a0e62ff16cded599b |
| SANs: mcp.ai, *.mcp.ai | ||||||
| CN=WE1,O=Google Trust Services,C=US (CA) | CN=GTS Root R4,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | ECDSA 256 | ECDSA-SHA384 | 7ff31977972c224a76155d13b6d685e3 |
| CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 15 Nov 2023 | 28 Jan 2028 | ECDSA 384 | SHA256-RSA | 7fe530bf331343bedd821610493d8a1b |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of api.mcp.ai. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| ai. | present | 3799 | 8 | Verified |
| mcp.ai. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://api.mcp.ai/p_magnific | Verified | 200 | |
| http (plaintext) | http://api.mcp.ai/p_magnific | Inconclusive | 406 |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
magnific_spaces_run_status ~60
Poll `spaces_run`. `timeoutSeconds` long-polls up to 25s. In-progress returns `poll_after_seconds`; terminal call `creations_show`.
| Name | Type | Req | Description |
|---|---|---|---|
| timeoutSeconds | number | – | – |
| workflowRunIdentifier | string | yes | – |
No output schema declared.
No examples provided.
magnific_spaces_state ~110
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.
| Name | Type | Req | Description |
|---|---|---|---|
| currentPageId | string | – | – |
| pageId | string | – | – |
| scope | string | – | – |
| selectedConnectionIds | array | – | – |
| selectedElementIds | array | – | – |
| spaceId | string | yes | – |
No output schema declared.
No examples provided.
magnific_stock_download ~70
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.
| Name | Type | Req | Description |
|---|---|---|---|
| folder_reference | string | – | – |
| id | number | yes | – |
| ids | array | – | – |
| type | string | – | – |
No output schema declared.
No examples provided.
magnific_stock_get ~59
Full details for a single Freepik stock item: preview URL, dimensions, formats, author. Bulk support: accepts ids for batched execution.
| Name | Type | Req | Description |
|---|---|---|---|
| id | number | yes | – |
| ids | array | – | – |
| type | string | – | – |
No output schema declared.
No examples provided.
magnific_stock_search ~72
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.
| Name | Type | Req | Description |
|---|---|---|---|
| content_type | string | – | – |
| page | number | – | – |
| per_page | number | – | – |
| query | string | yes | – |
No output schema declared.
No examples provided.
magnific_stock_to_creation ~67
Convert Freepik stock item → Pikaso creation. Use after user selects from stock_show. Bulk support: accepts ids for batched execution.
| Name | Type | Req | Description |
|---|---|---|---|
| folder_reference | string | – | – |
| id | number | yes | – |
| ids | array | – | – |
| title | string | – | – |
No output schema declared.
No examples provided.
magnific_video_concatenate ~70
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.
| Name | Type | Req | Description |
|---|---|---|---|
| creationIdentifiers | array | yes | – |
| folderReference | string | – | – |
| name | string | – | – |
No output schema declared.
No examples provided.
magnific_video_generate ~143
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.
| Name | Type | Req | Description |
|---|---|---|---|
| folderReference | string | – | – |
| video | object | yes | – |
No output schema declared.
No examples provided.
magnific_video_models_list ~63
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.
| Name | Type | Req | Description |
|---|---|---|---|
| onlyRecommended | boolean | – | – |
| search | string | – | – |
No output schema declared.
No examples provided.
magnific_video_plan ~94
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.
| Name | Type | Req | Description |
|---|---|---|---|
| aspectRatioHint | string | – | – |
| durationHint | number | – | – |
| prompt | string | yes | – |
| referenceIdentifiers | array | – | – |
| styleHint | string | – | – |
No output schema declared.
No examples provided.
magnific_video_speak ~145
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`.
| Name | Type | Req | Description |
|---|---|---|---|
| audioUrl | string | yes | – |
| folderReference | string | – | – |
| imageUrl | string | – | – |
| mode | string | – | – |
| prompt | string | – | – |
| resolution | string | – | – |
| videoUrl | string | – | – |
| voiceId | number | – | – |
No output schema declared.
No examples provided.
magnific_video_upscale ~202
Upscale video via Topaz or Magnific. Pass `creationIdentifier` or Freepik `videoUrl`. Params: `video_upscale_models_list`. Then call `creations_show`.
| Name | Type | Req | Description |
|---|---|---|---|
| creationIdentifier | string | – | – |
| creativity | number | – | – |
| enhancementModel | string | – | – |
| flavor | string | – | – |
| focus | number | – | – |
| folderReference | string | – | – |
| fpsBoost | boolean | – | – |
| frameInterpolation | string | – | – |
| magnificResolution | string | – | – |
| mode | string | yes | – |
| premiumQuality | boolean | – | – |
| preview | boolean | – | – |
| sharpen | number | – | – |
| smartGrain | number | – | – |
| strength | number | – | – |
| targetFps | number | – | – |
| targetResolution | number | – | – |
| turbo | boolean | – | – |
| upscaleFactor | number | – | – |
| videoUrl | string | – | – |
No output schema declared.
No examples provided.
magnific_video_upscale_models_list ~48
Video upscale mode catalog as raw TOON text (topaz, magnific, magnific_precision) with required/optional params, ranges and enums. Read before calling `video_upscale`.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
marketplace ~532
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.
| Name | Type | Req | Description |
|---|---|---|---|
| action | string | – | – |
| arguments | string | – | – |
| cancel_comment | string | – | – |
| cancel_reason | string | – | – |
| conversation | string | – | – |
| immediate | boolean | – | – |
| limit | number | – | – |
| mcp_id | string | – | – |
| message | string | – | – |
| prompt_body | string | – | – |
| prompt_category | string | – | – |
| prompt_description | string | – | – |
| prompt_slug | string | – | – |
| prompt_targets | array | – | – |
| prompt_title | string | – | – |
| prompt_tool | string | – | – |
| prompt_vars | string | – | – |
| query | string | – | – |
| report_context | string | – | – |
| request_details | string | – | – |
| request_name | string | – | – |
| tier_slug | string | – | – |
| tool_id | string | – | – |
No output schema declared.
No examples provided.
report_bug ~50
Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
| Name | Type | Req | Description |
|---|---|---|---|
| context | string | – | – |
| conversation | string | – | – |
| message | string | yes | – |
No output schema declared.
No examples provided.
show_version ~17
Show the current MCP platform and adapter versions.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
toolkit_info ~37
Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
How do I install the Magnific MCP server?
Magnific is a hosted endpoint at https://api.mcp.ai/p_magnific, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · api.mcp.ai
claude mcp add --transport http mcp-dir-magnific-mcp 'https://api.mcp.ai/p_magnific'
What is the Magnific MCP server?
Magnific is an MCP server listed in the public MCP registry as io.github.mcp-dir/magnific-mcp. Magnific in natural language: upscale images, generate and list your creations. Connect your Magnifi. This page covers its hosted endpoint (https://api.mcp.ai/p_magnific).
Is the Magnific MCP server safe to use?
Magnific scores 78 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Magnific MCP server expose?
Magnific exposes 67 tools: magnific_account_balance, magnific_creations_wait, magnific_creations_get, magnific_creations_search, magnific_creations_list, and 62 more. Their descriptions and schemas cost roughly 5,364 tokens of context every time the server is loaded.
Does the Magnific MCP server require authentication?
No. We connected to Magnific without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Magnific MCP server still maintained?
Magnific is still listed as active in the MCP registry. We last reached this channel on 23 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.