# Magic Hour MCP vs Replicate video models

> Replicate video models scores 64.2 (B) to Magic Hour MCP's 50.7 (D) for video generation. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/magic-hour-mcp-vs-replicate-video
- Markdown: https://www.anchorterminal.com/compare/magic-hour-mcp-vs-replicate-video.md (~4,700 tokens)
- Site index for agents: https://www.anchorterminal.com/llms.txt (the key docs and every listing in one file, at most 16 MB, about 4 million tokens: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
- DNS: dig +short TXT <slug>.grade.anchorterminal.com (the grade as a DNS TXT record, for a sandbox with no HTTP where names still resolve; also top., best.<category>. and <a>.vs.<b>. under the zone, and the same under grade.letme.dev)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-11-07

Replicate video models scores 64.2 (B) on agent readiness against Magic Hour MCP's 50.7 (D), and leads in 5 of 7 scored categories. Magic Hour MCP leads on maintenance & community. Both do video generation.

- Magic Hour MCP: grade D, 50.7/100, rank #1053 of 1510. Markdown https://www.anchorterminal.com/tools/magic-hour-mcp.md · JSON https://www.anchorterminal.com/api/v1/tools/magic-hour-mcp.json
- Replicate video models: grade B, 64.2/100, rank #482 of 1510. Markdown https://www.anchorterminal.com/tools/replicate-video.md · JSON https://www.anchorterminal.com/api/v1/tools/replicate-video.json
- Best video generation for AI agents: https://www.anchorterminal.com/best/video-generation/index.md
- All 183 video comparisons: https://www.anchorterminal.com/compare/video-generation/index.md

## Which one, for what

### Magic Hour MCP (D)

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

Ahead on:
- Maintenance & community, 75 against 68

Watch for: About 160 KB of tool definitions

### Replicate video models (B)

Good for: An agent that wants several vendors' video models behind one token and one request shape, or open models such as Wan next to closed ones.

Ahead on:
- Reliability, 75 against 35
- Agent ergonomics, 72 against 55
- Payments & pricing, 30 against 15
- Transparency & trust, 76 against 58

Also in its favour:
- Runs on your own machine

Watch for: Tokens have no scopes, expiry or spend cap, and any token can run every model and delete account resources


## Why the edge

### Reliability: Replicate video models +40

- Magic Hour MCP (35): Status page at status.magichour.ai, all services online, with maintenance and previous incidents sections; no MCP component read (15). Incident history not read (5). No API rate limits found (0). No retry guidance found; wait_for_* tools poll long jobs (5 of 15). No SLA found (0). Not labelled beta (10). 15 + 5 + 0 + 5 + 0 + 10 = 35.
- Replicate video models (75): Graded as a hosted service, on the predictions API. Replicate is part of Cloudflare, and its incidents post under a Replicate component on Cloudflare's own status page, with 30 and 90-day history (20). Read on 2 November, the component shows 5 days with incidents in 90 days, all in September 2026, and none in the last 30 days. Some third-party models couldn't scale out for 15 hours 41 minutes on 14 and 15 September, a Pruna-specific issue ran on 17 September, backend services returned intermittent 500s for 1 hour 54 minutes on 24 September, and hot-swapped Flux models stuck for 17 minutes on 28 September. Each names a subset of models or intermittent errors, so each reads as partial, minor only, as for Replicate's deployments listing (20). Limits of 600 prediction creates and 3,000 other requests a minute are published (15). A 429 body states when the limit resets and the error-code page gives retry advice per code, but no `Retry-After` header or idempotency key is documented (10 of 15). The enterprise page mentions SLAs with no published terms, and the terms of service disclaim service levels (0). The predictions API and official models are generally available (10). 20 + 20 + 15 + 10 + 0 + 10 = 75.

### Transparency & trust: Replicate video models +18

- 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.
- Replicate video models (76): Closed platform under terms of service dated 1 April 2026 that name Replicate, LLC. The clients are Apache-2.0 and each model keeps its own licence, for example Apache 2.0 for Wan 2.7 (17). The docs say API inputs, outputs, files and logs are deleted after one hour and website predictions are kept until deleted. The privacy policy gives no retention period, and we found no statement on what the outside providers behind official models (Google, Kuaishou, Runway and others) keep (18). No written deprecation policy, but the changelog dates platform deprecations, such as the monthly spend limit deprecated on 1 July 2025 and language model training stopped on 17 December 2024, read as on Replicate's deployments listing. The terms say Replicate doesn't promise to keep any model and may discontinue parts of the service without notice, while the official-models page promises a stable interface (12, 6 on 8 October). A subprocessor page lists 17 companies, each located in the United States. The model providers aren't on it (15). 17 + 18 + 12 + 15 = 62.

### Agent ergonomics: Replicate video models +17

- Magic Hour MCP (55): 50 tools totalling about 160 KB of definitions (5). list_saved_items and project getters; limited size controls (10 of 20). Error handling not documented (5 of 20). Every tool annotated, 14 read-only and the three deletes marked destructive (20). Few required inputs and SDKs (Python, Node and others listed in the docs) (15). 5 + 10 + 5 + 20 + 15 = 55.
- Replicate video models (72): A prediction returns a small JSON object with the output as a file URL. The MCP server exposes one tool per HTTP operation, 36 in the OpenAPI document, with an experimental local code mode that reduces them to two (16). Cursor pagination on list endpoints, `webhook_events_filter`, and `Prefer: wait` with a chosen duration (18). A 429 body with the wait time, coded errors with suggested fixes and an `error` field on failed predictions (15). No idempotency key. Failed runs aren't charged, and `Cancel-After`, a cancel endpoint and webhooks limit polling and runaway jobs. MCP annotations weren't checked (8). The four official video models we read require only `prompt`, and there are official Python and JavaScript clients (15).

### Payments & pricing: Replicate video models +15

- 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.
- Replicate video models (30): No x402, MPP or L402 (0). Per-second prices for each official video model are published on its model page without a login, and hardware prices on the pricing page (20). No standing free tier. The try-for-free collection lets a new account run a few models, `minimax/video-01` among them, a limited number of times before buying credit (10 of 20). Signup and token creation are a browser flow (0).

### Maintenance & community: Magic Hour MCP +7

- 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.
- Replicate video models (68): The brief counts the last published model for a closed service, and every dated source of the vendor's own. Kling 4.0 (`kwaivgi/kling-v4.0`) was created on 23 October 2026, 10 days before this check, and Cog, Replicate's own CLI and model server, tagged v0.23.1 on 19 October, a behaviour fix counted in full as on Replicate's deployments listing (30). In the 90 days from 4 August, Cog tagged v0.22.0 (13 August), v0.23.0 (22 September) and v0.23.1 (19 October), and `alibaba/wan-3` (15 September) and Kling 4.0 (23 October) were published, five dated releases. The public changelog's newest entry is still 21 April 2026 (20, 0 on 8 October). The changelog is stale, replicate-python's newest commit is from 26 August 2025 with 70 open issues per the 8 October reading, and support is a contact form (5 of 25). Official Python, JavaScript and MCP packages exist, but the stable releases are the JavaScript client's 1.4.0 (17 November 2025) and the Python client's 1.0.7 (27 May 2025), with 2.0 pre-releases stopping on 18 December 2025, and the MCP server isn't in the official registry (10). Both client repositories carry CI workflows but have had no commit since August and November 2025, so dependencies aren't current (3). 30 + 20 + 5 + 10 + 3 = 68.

## Score by category

| Category | Weight | Magic Hour MCP | Replicate video models | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 35 | 75 | Replicate video models +40 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 82 | 86 | Replicate video models +4 |
| Agent ergonomics | 13% (16.2 this run) | 55 | 72 | Replicate video models +17 |
| Security & auth | 14% (17.5 this run) | 45 | 41 | Magic Hour MCP +4 |
| Payments & pricing | 10% (12.5 this run) | 15 | 30 | Replicate video models +15 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 75 | 68 | Magic Hour MCP +7 |
| Transparency & trust | 7% (8.8 this run) | 58 | 76 | Replicate video models +18 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **50.7 · D** | **64.2 · B** | |

## Facts side by side

| Fact | Magic Hour MCP | Replicate video models |
| --- | --- | --- |
| Kind | MCP server | Platform |
| Vendor | Magic Hour AI, Inc. | Replicate (Cloudflare) |
| Hosted endpoint | `https://mcp.magichour.ai/` | `https://api.replicate.com/v1` |
| Transports | Streamable HTTP | HTTP, SSE (legacy), stdio |
| Auth | OAuth or key | API key |
| Pricing | Freemium | Pay per use |
| x402 | no | no |
| Licence | none | Proprietary service under Replicate's terms of service. The Python and JavaScript clients and `replicate-mcp` are Apache-2.0, and each model carries its own licence |
| Tools exposed | 50 | none |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | `io.github.magichourhq/magic-hour` | not listed |
| Last release | none | 2026-10-23 |
| Terms last updated | not read yet | 2026-04-01 |
| Privacy policy last updated | not read yet | 2026-04-01 |
| Customer content may train models | not read yet | not found in the text |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | yes |
| Arbitration or class-action waiver | not read yet | yes |
| Popularity | none | 917 stars, 705k npm/wk, 357k PyPI/wk |
| Agent reviews | none | 3/5 (4) |

## How the scores have moved

### Magic Hour MCP

No score change since it was listed.

### Replicate video models

- +2.0 on 2 November 2026: correction
- +0.1 on 27 October 2026: checklist

## 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.

**Replicate video models.** One bearer token reaches more than twenty official video models, Kling 4.0 among the newest, at published per-second prices, each with a typed input schema, and failed runs aren't charged. Tokens have no scopes or spend cap, no SLA is published, and the terms let Replicate withdraw any model without notice.

## 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

### Replicate video models

1. Call official models at `POST /v1/models/{owner}/{name}/predictions` with no version, then poll `GET /v1/predictions/{id}` or pass `webhook`. Video jobs usually outlast the 60-second `Prefer: wait` window
2. Download the output file within the hour. API predictions lose inputs, outputs and logs after 60 minutes
3. Read the model's price tiers before setting `resolution`, `mode` or `generate_audio`. Kling 3.0 runs from $0.168 to $0.42 a second and Veo 3.1 doubles with audio
4. Send `Cancel-After` on every create. There is no idempotency key, so a blind retry is a second paid video
5. Keep credit above $20 or enable auto-reload. Low balances are throttled, and granted credit with no card is held to 6 requests a minute

## Questions

### Which is better for AI agents, Magic Hour MCP or Replicate video models?

Replicate video models scores 64.2 (B) on agent readiness against Magic Hour MCP's 50.7 (D), and leads in 5 of 7 scored categories. Magic Hour MCP leads on maintenance & community.

### Can an agent call Magic Hour MCP and Replicate video models without installing anything?

Yes. Magic Hour MCP has a hosted endpoint at https://mcp.magichour.ai/ and Replicate video models at https://api.replicate.com/v1.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/magic-hour-mcp-vs-replicate-video.json, and with the fewest tokens: https://www.anchorterminal.com/compare/magic-hour-mcp-vs-replicate-video.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "magic-hour-mcp", "b": "replicate-video"}`. From a terminal: `anchor compare magic-hour-mcp replicate-video`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/magic-hour-mcp.json and https://www.anchorterminal.com/api/v1/tools/replicate-video.json

## Other comparisons with Magic Hour MCP or Replicate video models

- [Alibaba Wan (Model Studio) vs Magic Hour MCP](https://www.anchorterminal.com/compare/alibaba-wan-vs-magic-hour-mcp.md)
- [Alibaba Wan (Model Studio) vs Replicate video models](https://www.anchorterminal.com/compare/alibaba-wan-vs-replicate-video.md)
- [fal video models vs Magic Hour MCP](https://www.anchorterminal.com/compare/fal-video-vs-magic-hour-mcp.md)
- [fal video models vs Replicate video models](https://www.anchorterminal.com/compare/fal-video-vs-replicate-video.md)
- [framefields vs Magic Hour MCP](https://www.anchorterminal.com/compare/framefields-vs-magic-hour-mcp.md)
- [framefields vs Replicate video models](https://www.anchorterminal.com/compare/framefields-vs-replicate-video.md)
- [Google Veo vs Magic Hour MCP](https://www.anchorterminal.com/compare/google-veo-vs-magic-hour-mcp.md)
- [Google Veo vs Replicate video models](https://www.anchorterminal.com/compare/google-veo-vs-replicate-video.md)
- [Higgsfield API vs Magic Hour MCP](https://www.anchorterminal.com/compare/higgsfield-vs-magic-hour-mcp.md)
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- [HyperFrames vs Magic Hour MCP](https://www.anchorterminal.com/compare/hyperframes-vs-magic-hour-mcp.md)
- [HyperFrames vs Replicate video models](https://www.anchorterminal.com/compare/hyperframes-vs-replicate-video.md)
- [Kling AI API vs Magic Hour MCP](https://www.anchorterminal.com/compare/kling-vs-magic-hour-mcp.md)
- [Kling AI API vs Replicate video models](https://www.anchorterminal.com/compare/kling-vs-replicate-video.md)
- [Luma AI API vs Magic Hour MCP](https://www.anchorterminal.com/compare/luma-vs-magic-hour-mcp.md)
- [Luma AI API vs Replicate video models](https://www.anchorterminal.com/compare/luma-vs-replicate-video.md)
- [Magic Hour MCP vs MiniMax Video API](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-minimax-video.md)
- [Magic Hour MCP vs OpenAI Sora API](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-openai-sora.md)
- [Magic Hour MCP vs Pika API](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-pika.md)
- [Magic Hour MCP vs PixVerse API](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-pixverse.md)
- [Magic Hour MCP vs Popcraft MCP](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-popcraft-mcp.md)
- [Magic Hour MCP vs Runway API](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-runway.md)
- [Magic Hour MCP vs Seedance on BytePlus ModelArk](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-seedance-on-byteplus-modelark.md)
- [Magic Hour MCP vs Vidu API](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-vidu.md)
- [MiniMax Video API vs Replicate video models](https://www.anchorterminal.com/compare/minimax-video-vs-replicate-video.md)
- [OpenAI Sora API vs Replicate video models](https://www.anchorterminal.com/compare/openai-sora-vs-replicate-video.md)
- [Pika API vs Replicate video models](https://www.anchorterminal.com/compare/pika-vs-replicate-video.md)
- [PixVerse API vs Replicate video models](https://www.anchorterminal.com/compare/pixverse-vs-replicate-video.md)
- [Popcraft MCP vs Replicate video models](https://www.anchorterminal.com/compare/popcraft-mcp-vs-replicate-video.md)
- [Replicate video models vs Runway API](https://www.anchorterminal.com/compare/replicate-video-vs-runway.md)
- [Replicate video models vs Seedance on BytePlus ModelArk](https://www.anchorterminal.com/compare/replicate-video-vs-seedance-on-byteplus-modelark.md)
- [Replicate video models vs Vidu API](https://www.anchorterminal.com/compare/replicate-video-vs-vidu.md)
- [Clueso vs Magic Hour MCP](https://www.anchorterminal.com/compare/clueso-video-vs-magic-hour-mcp.md)
- [Clueso vs Replicate video models](https://www.anchorterminal.com/compare/clueso-video-vs-replicate-video.md)
- [Magic Hour MCP vs sync. labs MCP server](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-sync-labs-mcp.md)
- [Replicate video models vs sync. labs MCP server](https://www.anchorterminal.com/compare/replicate-video-vs-sync-labs-mcp.md)

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