ChatGPT Video Editing with MCP: Access, Setup & Uploads

Confirm Access Before Connecting

MCP access is included with active Pro and Frontier subscriptions. Creator does not include MCP access. Its authorization flow can recognize your credentials and still return Connecting apps to Valmera is not enabled for this account yet. If that happens on an active Pro or Frontier account, reconnect with your verified subscriber email and contact support if the issue persists. A paid ChatGPT plan, a readable public server card or free Valmera account creation does not resolve this access condition.

Use the account that owns the footage, and keep a note of the intended project ID. Once authorization succeeds, inspect that project before making changes. Studio remains a separate way to edit when the connector is unavailable; its own access and credit requirements still apply.

Choose the Connection Path You Actually Have

OpenAI's MCP guide distinguishes web plugin tools from direct local connections. Web chats do not read local Codex configuration. In the documented desktop path, use Settings → MCP servers → Add server, select Streamable HTTP, enter the URL, save and restart, then authenticate if requested. Hosted tools can have different capabilities.

MCP tools can read data or take actions. The model chooses a tool, while the server validates and performs the operation. A tool name in a directory does not establish account access, a successful write or acceptable video output.

Test the ChatGPT Developer-Mode Connection

1. 1
   Confirm Valmera MCP access

   Use a verified Valmera account with an active Pro or Frontier subscription. MCP access is included automatically for Pro and Frontier subscribers; your ChatGPT subscription is separate.
2. 2
   Check developer-mode access

   In ChatGPT Settings, open Security and login and enable Developer mode if available. Account and workspace policy can affect access.
3. 3
   Add the public endpoint

   Open ChatGPT Plugins, select the plus button and name the connection. Under Connection, enter Valmera's HTTPS MCP URL, including /mcp, then create it.
4. 4
   Complete authorization and inspect discovery

   Follow the Valmera sign-in flow and review the requested access. Inspect the tools the connection actually discovers; a public catalog is not an authenticated tool list.
5. 5
   Attach the connection to a new conversation

   Select the MCP connection in the conversation's tools menu. Begin by asking for available projects, with no editing or rendering.
6. 6
   Select and inspect your test project

   Identify a project containing footage you can use for a test. Confirm its ID, current version, source and indexing state before asking for a change.
7. 7
   Test one change and review the result

   Request one bounded edit on that test project. Track any returned job to its terminal state and inspect the new preview. Record what actually worked; use Studio for final delivery.

Use the current account controls and official OpenAI procedure. A small representative test establishes more than an endpoint URL alone.

Refresh Tools After a Server Update

For a developer-mode connection, open its page in ChatGPT Plugins and select Refresh. Inspect the discovered tools, start a new conversation and repeat the read-only project check. A conversation created before the update may not reflect the current connection metadata.

Published plugins can use reviewed metadata snapshots and have a separate update process. Refreshing a connection does not grant Valmera account access, add missing file-transfer capabilities or make a failed edit succeed. Use the exact tool schemas returned in the current session.

What the Public Endpoint Check Establishes

OpenAI's authorization documentation explains protected-resource discovery and supported client identification methods. Valmera advertises dynamic registration and S256 PKCE; metadata availability is not proof that all steps have completed. This guide makes no untested claim about token lifetime, credential storage or an authenticated streaming response.

Get Footage into the Valmera Project

Studio upload: upload your footage in Valmera Studio, then have the assistant list projects and open the intended project by ID. Confirm the input and indexing state. This avoids assuming that a file attached to a chat has also reached the editing service.

A supported import link: the catalog includes fetch_url. Use an accessible source you are permitted to import. A page URL may require login or fail to provide retrievable media; inspect the import result and project assets before requesting edits.

A client with file-transfer tools: upload_start and upload_finish support the separate upload flow. The client must be able to transfer file bytes using the returned instructions. This capability depends on the session, not simply whether its name is ChatGPT, Claude or Codex.

The checked upload response allows MP4, MOV, MKV, WebM and M4V main video within both limits. Read the upload guide for the workflow. A small test that uploads successfully does not establish performance for every long recording.

A Small Check with Observable Results

These are suggested prompts, not completed test results. Use footage you can edit and retain the project ID, version and returned identifiers. Adapt the request to the schemas actually discovered in that session.

The current catalog includes list_projects, open_project, project_state, get_edl, render_preview, wait_for_job and watch_video. Their presence does not guarantee that the current client can perform every review step. A queued job is pending; a completed render still needs content review.

Keep source timestamps separate from the preview clock. The measured trim-and-reframe example includes the original 25-second silent source, three retained four-second ranges and the downloaded 17-second final: 12 seconds of selected content followed by a five-second Valmera ending. A small Valmera mark also appears during the content. The source already contained its text and animation; the demonstrated operations are cuts and a centered square crop.

That example was produced through Valmera MCP tools and Studio, not a newly tested ChatGPT authorization flow. For an illustrative correction request, see the worked edit with source-to-output timing. Preserve approved selections and check the resulting version after restoring a cut.

Editing Access Does Not Include Every Delivery Operation

Under the checked public server card, MCP cannot initiate final export or delegate the edit to Valmera's in-house agent. SRT/VTT import/export, team seats and direct social publishing are also excluded. An available preview download is a review artifact.

Finish the accepted version in Studio, download the final MP4 and inspect the complete file, including the branded ending and runtime. It is re-encoded video, not an identical-quality guarantee. The export guide covers version selection, source readiness, subtitle-file limits and failed downloads.

Account creation and upload are free; indexing and agent editing require paid access. Consult current Valmera plans and the account's actual usage. The external assistant's own subscription or usage charges are separate.

Find the Stage That Failed

If a connection cannot be completed, use Studio with your written brief. Work from one editing surface at a time. Resolve the active job and inspect the current version before changing surfaces; do not rely on a universal automatic refusal to protect competing edits.

Sources and Revision Scope

Valmera publishes this guide about its own service. OpenAI setup guidance was reviewed on September 6, 2026 (UTC). Public endpoint observations retain their September 5 dates; the account-enablement condition comes from Valmera's authorization implementation, without inspecting production configuration or arbitrary accounts. The original-source example was produced on September 6. No new ChatGPT client certification, performance benchmark or plugin-directory listing is claimed.

• OpenAI: connect and test an MCP server
• OpenAI: MCP authorization
• OpenAI: MCP tools and actions
• OpenAI: web and local MCP connections
• Valmera public server card
• Valmera protected resource metadata
• Valmera authorization metadata
• Valmera current upload limits

Frequently Asked Questions

Edit and Review in Valmera Studio

Upload footage, give a specific editing brief and review the result. Account creation and uploads are free; editing requires a subscription.