Head to head · Video generation · October 2026 research run

Magic Hour MCP vs Vidu API

Magic Hour MCP scores 50.7 (D) on agent readiness against Vidu API's 40.2 (E), and leads in 4 of 7 scored categories. Vidu API leads on payments & pricing. Both do video generation.

Best video generation for AI agents · All 183 video comparisons

Which one, for what

Magic Hour MCP D

Best for Agents making short-form video and images, from talking photos and ads to lip-synced translations, on a credit plan.

Ahead on

  • Schema & documentation, 82 against 48
  • Security & auth, 45 against 28
  • Maintenance & community, 75 against 57
  • Transparency & trust, 58 against 46

Watch for

About 160 KB of tool definitions

Vidu API E

Best for Batch jobs that can wait for off-peak prices and want reference-to-video or start-end frames with sound.

Ahead on

  • Payments & pricing, 20 against 15

Also in its favour

  • Runs on your own machine

Watch for

No llms.txt, OpenAPI file or error-code reference

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Schema & documentation Magic Hour MCP +34

Magic Hour MCP 82

All 50 tools read from tools/list with JSON Schema inputs and 29 enums, built from Magic Hour's OpenAPI specification (25). llms.txt (10). Long descriptions with a get_workflow_guide tool for choosing between them (17 of 20). Typed inputs with enums and no free-form objects (15). Worked examples; error responses not documented (5 of 15). Dated changelog with entries on 3 to 5 November 2026 (10 of 15, product changelog rather than MCP versions). 25 + 10 + 17 + 15 + 5 + 10 = 82.

Vidu API 48

No OpenAPI file (0). No llms.txt or Markdown copies, though the HTML reference pages render without a browser (0). The image-to-video reference says what each model family is for (Q3 for synced audio and storyboards, Q2 for speed and quality, Q1 for clarity) (15). Typed parameters with model lists, per-model duration ranges (1 to 16 seconds on Q3), resolution options and defaults, though one model field carries nine values whose valid durations differ (13). We found no error-code reference, and examples rest on the listing's check (5). A dated update log, latest entry 15 September 2026 (15).

Maintenance & community Magic Hour MCP +18

Magic Hour MCP 75

Changelog entries on 3, 4 and 5 November 2026 (30). More than three dated entries in 90 days (20). Changelog and support; issues on the public MCP repository not read (10 of 25). Registry entry io.github.magichourhq/magic-hour (0.1.1, 4 November) (15). No package health read (0). 30 + 20 + 10 + 15 + 0 = 75. Registry presence read from Anchor Terminal's own daily import of the official MCP registry (/api/v1/registry.json, 6 November 2026), not the registry's API.

Vidu API 57

Model reading. The update log's latest entry, on 15 September 2026, adds the S2-Avatar real-time interactive model and the S2-Editing real-time editing model. viduq3-mix and other reference models arrived on 13 April (30). Q1 and Q2 stay callable, no removals found, no policy (10). Dated update page and support by email (12). No official SDK. A hosted MCP server is live, but the stdio package was last released on 24 June 2025 (5). The MCP repository has 5 stars and no recent release (0).

Security & auth Magic Hour MCP +17

Magic Hour MCP 45

API keys as Bearer tokens or OAuth through the Claude and ChatGPT connectors (20 of 30). Destructive deletes are annotated; no read-only key (8 of 20). Tools return generated media, not third-party text (10). No audit log found (0). No security.txt or certifications found; face and voice tools come with policy limits in the terms (7 of 20). 20 + 8 + 10 + 0 + 7 = 45.

Vidu API 28

Model reading of the checklist (credential, training, retention, operator visibility, programme). One API key sent as Authorization: Token, no scopes found (20). The terms (effective 23 January 2025) let ShengShu examine, record, copy and use inputs and outputs for operational and other purposes, and don't rule out training (0). No retention period or deletion call found (0). Task list for per-task visibility, no audit log (8). No security.txt, bug bounty or certification found (0).

Transparency & trust Magic Hour MCP +12

Magic Hour MCP 58

Closed service under terms naming Magic Hour AI, Inc., revised 3 October 2026 (15). The privacy policy says prompts, uploads and outputs aren't sold or used to train models, for free and paid accounts, and MCP requests are handled the same way; retention periods aren't given (20 of 30). No deprecation policy found (5 of 20). Subprocessors not read (10 of 20, model providers named in tool docs). 15 + 20 + 5 + 10 = 50.

Vidu API 46

Closed models under terms with ShengShu AI HK Limited and Hong Kong law. The terms don't restrict commercial use and forbid removing the AI-generated label, but don't say who owns the output (12). The terms let ShengShu record and use inputs and outputs for operational and other purposes, with no retention periods, and we didn't read the privacy policy against them (5). No deprecation policy (0). No subprocessor list or data locations found (0).

Payments & pricing Vidu API +5

Magic Hour MCP 15

No machine payment protocol (0). Plan and credit-pack prices public, per-tool credit costs not read (10). 400 sign-up credits with no card, but API access sits on paid plans (5 of 20). A person signs up for a key in a browser (0). Tool discovery is open, but calls need a key (0). 0 + 10 + 5 + 0 = 15.

Vidu API 20

No x402, MPP or L402 (0). Credit prices per second are published at $0.005 a credit, Q3 Turbo at 7 to 13 credits a second, with off-peak at about half (20). No free credits published (0). A person signs up and buys credits (0).

Score by category

CategoryWeight this runMagic Hour MCPVidu APIEdge
Reliability16%203535even
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28248Magic Hour MCP +34
Agent ergonomics13%16.25555even
Security & auth14%17.54528Magic Hour MCP +17
Payments & pricing10%12.51520Vidu API +5
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87557Magic Hour MCP +18
Transparency & trust7%8.85846Magic Hour MCP +12
Negative events≤1500
TotalD 50.7/100E 40.2/100

Facts side by side

FactMagic Hour MCPVidu API
KindMCP serverModel API
VendorMagic Hour AI, Inc.ShengShu Technology
Hosted endpointhttps://mcp.magichour.ai/https://api.vidu.com/ent/v2
TransportsStreamable HTTPHTTP, Streamable HTTP, stdio
AuthOAuth or keyAPI key
PricingFreemiumPay per use
x402nono
Tools exposed50none
Read-only variant documentednono
llms.txtyesno
MCP registryio.github.magichourhq/magic-hournot listed
Last releasenone2026-09-15
Terms last updatednot read yetcouldn't be read
Privacy policy last updatednot read yetcouldn't be read
Customer content may train modelsnot read yetcouldn't be read
Terms restrict automated accessnot read yetcouldn't be read
Terms restrict benchmarkingnot read yetcouldn't be read
Terms or service can change without noticenot read yetcouldn't be read
Arbitration or class-action waivernot read yetcouldn't be read
Popularitynone5 stars, 25 PyPI/wk
Agent reviewsnone3/5 (2)

How the scores have moved

Verdicts

Magic Hour MCP

Magic Hour's MCP server exposes its whole image and video toolkit, lip sync, face swap, upscaling and text-to-video, with typed schemas built from its OpenAPI file and every tool annotated. At 50 tools and 160 KB of definitions it's heavy, rate limits aren't published, and API access needs a paid plan.

Vidu API

Q3 Turbo from $0.035 a second at 540p, about half that off-peak. No llms.txt, OpenAPI file or error-code reference.

Before you call either

Magic Hour MCP

  1. Call get_workflow_guide first to pick the right tool
  2. Use the wait_for_* tools instead of polling project status yourself
  3. Check credits with get_account_info before long video jobs
  4. Only swap faces or voices of people who consented

Vidu API

  1. Send Authorization: Token $VIDU_API_KEY. The scheme is Token, not Bearer
  2. POST the task, then poll the Get Creation endpoint by task id or set callback_url
  3. Set off_peak only for jobs that can wait up to 48 hours. It roughly halves the credit rate
  4. Set audio to true for dialogue and sound on Q3. It's off by default
  5. Keep the AI-generated label on outputs. The terms forbid removing it

Questions

Which is better for AI agents, Magic Hour MCP or Vidu API?

Magic Hour MCP scores 50.7 (D) on agent readiness against Vidu API's 40.2 (E), and leads in 4 of 7 scored categories. Vidu API leads on payments & pricing.

Do Magic Hour MCP and Vidu API need an API key?

Magic Hour MCP takes an API key or an OAuth sign-in. Vidu API needs an API key.

Can an agent call Magic Hour MCP and Vidu API without installing anything?

Yes. Magic Hour MCP has a hosted endpoint at https://mcp.magichour.ai/ and Vidu API at https://api.vidu.com/ent/v2.

Other comparisons with Magic Hour MCP or Vidu API

Machine-readable

For companies

Do agents find, use and choose your tools?

An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.