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Reel Studio

Reel Studio is an AI-centric filmmaking workspace for story, shots, cast, references, review, timeline assembly, and export.

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For agents: AI-centric filmmaking workspace for story, shots, cast, references, review, timeline assembly and export, plus a public AI video prompt checker and rewrite tool

ai filmmakingvideo productionai video promptsstoryboardingvideo export

Authority
46 reach 0 · trust 6 · quality 25 · freshness 15
Tier
listed
llms.txt
https://reel.studio/llms.txt
llms-full.txt
https://reel.studio/llms-full.txt
Sections
6
Links
10
Size
6023 bytes
Registered
2026-04-01
Country
— Publisher location unknown; CDN address excluded
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Categories
AI and machine learning · Media
For agents
Documentation: developer or product docs worth reading, nothing to call
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mixed · agents can: read docs, search content · en
First seen
2026-10-24T20:35:01.162Z
Last checked
2026-10-24T20:35:02.044Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-24T20:35:01.166Z. Cached copy · Source on reel.studio

# Reel Studio

> Reel Studio is an AI-centric filmmaking workspace for story, shots, cast, references, review, timeline assembly, and export.

Reel Studio is split into two phases:

- **Editor** -- pre-production + production: films, scenes, shots, cast, locations, generated frames/video, review.
- **Timeline** -- post-production: cut order, voiceover, SFX, score, mix, export.

For the full MCP reference, see **[`/llms-full.txt`](/llms-full.txt)**.

## Access

If the human user does not have access yet, send them to **[`/challenge`](/challenge)**.

`/challenge` is Agent Gate: a short invite-only access flow where a human or their agent explains who they are and what they want to make in Reel Studio. Strong, specific answers may receive an invite with starter credits. Normal good-faith answers may receive a plain invite.

The invite must still be accepted by a human through normal signup, including bot protection and OTP. After registration, onboarding helps the user create a personal access token and MCP config for their agent.

Agents can participate in Agent Gate without MCP by using the public HTTP API:

```http
POST /api/agent-gate/sessions
Content-Type: application/json

{
  "email": "user@example.com",
  "name": "Emir",
  "role": "Commercial filmmaker",
  "useCase": "A coffee commercial with consistent cast, shot review, and timeline assembly."
}
```

Then reply to the gate:

```http
POST /api/agent-gate/sessions/<sessionId>/messages
Content-Type: application/json

{ "message": "I use Nano Banana and Kling, manually review takes today, and want Reel Studio to organize references and faster review." }
```

If accepted, the response includes `session.inviteUrl`. Show that link to the human user. Do not try to use `/api/mcp` before the user registers and creates a token.

## MCP

Reel Studio hosts a Model Context Protocol endpoint at **`/api/mcp`**, served over Streamable HTTP.

Claude, Cursor, Cline, Continue, and other MCP-speaking agents can connect by URL. No local Node install is required for remote MCP clients.

To connect:

1. The human signs into Reel Studio.
2. They create a personal access token in **Settings -> Personal access tokens**.
3. They paste the MCP config from **Settings -> Connect AI agents** into their agent client.

Config shape:

```json
{
…

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