VEED

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Generate AI talking-head videos from text with custom characters and voices, straight from your assistant.

state.auth.long (state.auth.title)Streamable HTTP

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https://www.veed.io/api/v1/mcp

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mcp.tc/i/veed

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VEED Fabric lets an AI assistant create talking-head videos with AI avatars. You choose from 24+ characters and voices in several languages and accents, pick landscape, portrait or square output, and follow generation progress. It can also show credit balance and cost estimates before generating, and organize videos across workspaces.

It runs as a hosted streamable HTTP endpoint at https://www.veed.io/api/v1/mcp. You sign in with a VEED account through OAuth. Generation uses AI Playground credits, which are included with paid plans or can be purchased. Generated videos are stored in your VEED workspace.

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  • Generate talking-head videos from text with AI avatars
  • Browse 24+ characters and multi-language voices
  • Choose landscape, portrait or square aspect ratios
  • Track generation progress
  • Check credit balance and cost estimates before generating
  • Manage videos across multiple workspaces

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  • Create a 30 second talking-head video introducing our new product.

  • Show me the available avatar characters and voices.

  • How many VEED credits do I have left?

  • Make a portrait video of a presenter explaining our weekly update.

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Claude Code

  1. Run this in a terminal, in your project folder:
claude mcp add --transport http veed https://www.veed.io/api/v1/mcp
  1. Start Claude Code, type /mcp, pick veed and choose Authenticate. A browser window opens for the VEED sign-in.

Add --scope user to make it available in every project, not just this one.

Claude Desktop

  1. Open Settings → Connectors and click Add custom connector.
  2. Name it VEED and paste this URL:
https://www.veed.io/api/v1/mcp
  1. Click Add, then Connect, and sign in when VEED asks.

Claude Desktop's JSON config file only starts local servers. Remote servers go through Connectors, and connectors you add on claude.ai show up here too.

claude.ai

  1. Open the connector form on claude.ai. This button fills in the name and URL for you:
  1. Check that the URL reads https://www.veed.io/api/v1/mcp and click Add.
  2. Click Connect and sign in when VEED asks.

Free plans allow one custom connector. On Team and Enterprise plans an owner adds it under Organization settings → Connectors.

ChatGPT

  1. On chatgpt.com, open Settings → Security and login and turn on Developer mode.
  2. Go to chatgpt.com/plugins and click + to create an app for a remote MCP server.
  3. Paste https://www.veed.io/api/v1/mcp as the server URL and choose OAuth. ChatGPT sends you to VEED to sign in.

Developer mode is available on the web for Plus, Pro, Business, Enterprise and Education accounts.

Cursor

Or add it by hand to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (this project):

mcp.json
{
  "mcpServers": {
    "veed": {
      "url": "https://www.veed.io/api/v1/mcp"
    }
  }
}

Cursor shows Needs login next to the server. Click it to sign in.

VS Code

Or from a terminal:

code --add-mcp '{"name":"veed","type":"http","url":"https://www.veed.io/api/v1/mcp"}'

Or commit it to the repo in .vscode/mcp.json:

.vscode/mcp.json
{
  "servers": {
    "veed": {
      "type": "http",
      "url": "https://www.veed.io/api/v1/mcp"
    }
  }
}

VS Code asks you to sign in the first time the server starts.

Devin Desktop

  1. Add it to ~/.config/devin/mcp_config.json (macOS and Linux) or %APPDATA%\devin\mcp_config.json (Windows):
mcp_config.json
{
  "mcpServers": {
    "veed": {
      "serverUrl": "https://www.veed.io/api/v1/mcp"
    }
  }
}
  1. Refresh the MCP server list in Cascade and sign in when asked.

Devin Desktop is the new name for Windsurf. It reads serverUrl (or url) for remote servers.

Codex

codex mcp add veed --url https://www.veed.io/api/v1/mcp
codex mcp login veed

Or edit ~/.codex/config.toml directly:

config.toml
[mcp_servers.veed]
url = "https://www.veed.io/api/v1/mcp"

Gemini CLI

gemini mcp add --transport http veed https://www.veed.io/api/v1/mcp

Then, inside Gemini CLI, run /mcp auth veed to sign in.

This adds it to the current project. Add -s user to use it everywhere.

Any client

Most clients accept this shape. Some name the URL field differently: serverUrl in Devin Desktop, httpUrl in Gemini CLI's settings file.

{
  "mcpServers": {
    "veed": {
      "type": "http",
      "url": "https://www.veed.io/api/v1/mcp"
    }
  }
}

Zed puts servers under context_servers in its settings. Cline needs "type": "streamableHttp", or it assumes SSE.

Client only starts local servers? Bridge it with npx -y mcp-remote https://www.veed.io/api/v1/mcp.

listing.faq

Can I paste mcp.tc/i/veed into my MCP client?

No. mcp.tc links are pages, not server addresses. Connect with https://www.veed.io/api/v1/mcp, so your client talks to VEED directly. The sign-in token only works there anyway. The quick link is for sharing: it opens this page, with setup steps for every client.

Does VEED need an API key or a sign-in?

Yes, you need a VEED account. The first time your client connects, it opens VEED's sign-in page. The token goes straight to the server's own URL, never through mcp.tc.

Is VEED a remote or a local server?

Remote. VEED hosts it at https://www.veed.io/api/v1/mcp, and it speaks Streamable HTTP. There's nothing to install.

What can VEED do?

You can generate talking-head videos from text with AI avatars, browse 24+ characters and multi-language voices and choose landscape, portrait or square aspect ratios.

Which clients can use it?

Any client that supports remote MCP servers: Claude Code, Claude Desktop, claude.ai, ChatGPT in developer mode, Cursor, VS Code, Devin Desktop, Codex, Gemini CLI, Zed and others. The setup steps cover each one.

Who wrote this page?

mcp.tc's robot read VEED's own metadata (its MCP handshake, tool list and public pages), and an AI model drafted the text from it. A person reviews anything the checks can't confirm. The text can still be wrong, so if you spot a mistake, use Report this listing on this page.

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