
ModelsLab
io.github.ModelsLabv1.0.0Updated Oct 2, 2026
Generate images, video, speech and music, and run LLM chat, across 10,000+ models on ModelsLab.
Overview
AI-generated overview
Lets an assistant generate images, video, speech and music, and run LLM chat, through ModelsLab's hosted model catalog.
- What it does
- This is a remote MCP server hosted by ModelsLab. According to its registry description, it exposes generation across more than 10,000 models for images, video, speech and music, plus LLM chat. No individual tool names are listed in the supplied manifest, so the exact tool set is not documented here.
- When to use it
- Worth adding when an assistant needs to produce media assets or run chat completions through ModelsLab's hosted models rather than a local runtime. It suits creative and content workflows that already rely on ModelsLab's API.
- Requirements
- A remote streamable HTTP endpoint at modelslab.com; no local package or runtime is declared. An Authorization header is required and carries a ModelsLab API key, obtained from the ModelsLab dashboard. Network access to the endpoint is needed.
Before you install
The server requires an API key sent in the Authorization header, so treat that credential as a secret and avoid exposing it in logs or shared configs. Generation calls on ModelsLab are typically billed, so usage may cost money. Prompts and any uploaded inputs are sent to a third-party service.
Installation
In SourceWeft
- Open ModelsLab in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Other MCP clients
Add this to your client's mcpServers config.
{
"mcpServers": {
"modelslab": {
"type": "http",
"url": "https://modelslab.com/mcp/v7"
}
}
}README
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Tools
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Version history
1- v1.0.0LatestOct 2, 2026