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Access TokenLab models, multimodal media, tasks, and files through MCP.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "TokenLab MCP Server" MCP server from askskill: Run: claude mcp add 'io-github-hedging8563-tokenlab' -- npx -y @tokenlabai/mcp-server
Developers can connect this server in an MCP-compatible client to access TokenLab models, tasks, and file capabilities in one place, reducing the need to integrate multiple endpoints separately.
When an application needs to combine media content with AI capabilities, this MCP tool can expose TokenLab multimodal media features within a single workflow.
Teams that need to handle file resources around task execution can use this server to work with tasks and files through the same integration layer for easier automation.
It is an OpenAPI-generated TokenLab MCP server that exposes TokenLab capabilities for models, native AI, multimodal media, tasks, and files to MCP-compatible clients.
The provided information does not specify installation steps, runtime requirements, or API key needs. See the source repository for details.
Based on the description, it packages TokenLab capabilities as an MCP server rather than exposing only raw APIs. This makes it better suited for unified use in MCP-compatible AI toolchains; see the source repository for more details.
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