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The Melius MCP server lets an AI agent (Claude, ChatGPT desktop, Codex, or any MCP-compatible client) read and write to your projects: create canvases, drop nodes, wire edges, run generations, upload files, and download outputs — all without leaving the agent chat.

Connection options

All three use the hosted MCP tool catalog. The older direct REST mode (mel-mcp without --hosted) supports canvas tools and local file uploads, but does not support Cast.

Verify the connection

In a new chat, send:
“Create a new project called Hello World in Melius”
If the agent calls project_create and reports a new project ID, you’re connected.

Uploading images

Image upload is a three-step flow:
  1. Call file_upload — returns a signed URL.
  2. PUT the file bytes to the URL.
  3. Call file_upload_complete — finalizes the asset and creates the file node.
In a sandboxed Claude environment, the sandbox must allow network egress to *.melius.com:
1

Open Organization Settings

Go to Organization Settings → Capabilities → Code execution.
2

Enable code execution and egress

Turn on Cloud code execution and file creation and Allow network egress.
3

Allowlist *.melius.com

Add this exactly to the network egress allowlist:
Video uploads are not supported. Video has to be generated on the canvas via a video node — agents should not attempt to upload .mp4 files.

Inline canvas previews

The MCP server can render a live image of the canvas inline in the agent chat via display_canvas. Useful for confirming layout before the agent commits to a big bulk-run.

Troubleshooting

Melius tools aren’t showing up

If your agent reports “Melius tools aren’t available through the connected MCP servers” or in Claude connectors you see “This connector has no tools available,” the client connected before the tool list finished loading. Refresh the tools list to fix it.
1

Open the connector menu

Click the triple-dot (⋯) menu on the Melius connector in Claude.
2

Refresh the tools list

Select Refresh to reload the tools list. The Melius tools appear once the refresh completes.
Refresh the tools list from the connector's triple-dot menu
There is no equivalent refresh in ChatGPT desktop or Codex — restart the client instead. In ChatGPT desktop, quit and reopen the app; in the Codex IDE extension, select Restart extension; for the Codex CLI, quit and relaunch codex. If the tools still don’t appear, confirm your endpoint and credentials are correct (see Connection options) and that your connection in Melius hasn’t been revoked.

Codex can’t sign in

codex mcp login melius completes the sign-in in a browser on the same machine. On a remote box or in a container, use an API key as a bearer token instead — see Headless setups in the ChatGPT & Codex tab above.

Full tool reference

See Tool reference for every tool and what it does.

Data and permissions

The Melius MCP server reads from and writes to your Melius account. Specifically:
  • Reads your projects, canvases, nodes, edges, runs, comments, presets, teams, and models you have access to.
  • Writes new projects, canvases, nodes, edges, runs, uploads, comments, and team skills you ask it to create.
  • Deletes projects, canvases, nodes, and edges you ask it to delete.
  • Generates images, video, audio, and text on the canvas via Melius’s existing third-party model providers. All generation is initiated by explicit tool calls.
  • Does not read your chat history, conversation summaries, agent memory, or files outside the canvas. The server only operates on data the agent provides through tool calls and the canvases it explicitly opens.
The connector is scoped to the single Melius team you pick during authorize. The display_canvas MCP App opens links to your Melius canvas via ui/open-link. The only origin it opens is the Melius web app:

Tested surfaces

The Melius MCP server is tested with Claude.ai, Claude Desktop, and Claude Code. The ChatGPT desktop app, the Codex CLI, and the Codex IDE extension connect over the same Streamable HTTP and OAuth flow. Other MCP-compatible clients work as long as they speak Streamable HTTP MCP.

Cast

Connect to the hosted Melius MCP server and describe the video you want. Name an existing avatar—“make a UGC video of Loopy talking about chemistry class”—to use it directly without a picker. If you haven’t chosen an avatar, browse the library or create four candidates and select your favorite. Your agent writes the script in chat and infers the generation settings from your request. Confirm your avatar in the inline picker. It collapses to a card showing the avatar you selected. If your client puts the selection message in the chat box, press Send to continue. Your agent uses that choice before preparing the script; it does not pick a different avatar while waiting. Generation uses your client’s native MCP tool approval. With auto-approve enabled, an explicit request such as “make 10 videos using Loopy” runs without extra Generate clicks. Draft-only requests stop at the script. The agent waits for each requested video and shows its finished result with Download video. The default is Seedance 2.5, Auto voice and portrait video. You can override supported settings in chat, such as “make it horizontal, 1080p, with subtitles and my saved voice.” Explicit model, resolution, aspect ratio, subtitles and voice requests take priority; the agent infers the remaining settings. Voice, background, prop and template pickers appear only when you ask for them. Otherwise, the agent uses your brief, an automatic voice and scene, and any supplied selections or attachments. MCP Apps clients show avatar choices and the finished video with Download video inline. Other clients receive numbered choices and media links. Attachments require file access and transfer support in your client. See Cast tools.

Batches

Ask explicitly for Cast, for example: “Create 10 Cast videos using Loopy, each visiting a different European city.” Your agent prepares one review with all scripts, settings and the total estimated credits. Native MCP permission approves the batch, including your client’s automatic approval setting. One batch card shows every video, ready/failed/pending counts, individual downloads and View all in Cast. If the server connection is interrupted, the card reports that current status is unknown and retries. It never generates replacements. Batches support up to 20 videos per request and retain normal credit and queue limits. Accepted videos keep running after a disconnect; unsubmitted items are reported separately.
Last modified on October 1, 2026