TokenLab Model Explorer

CI MCP

Lightweight TokenLab Model Explorer prototype for ChatGPT/OpenAI Apps SDK. It exposes an MCP Streamable HTTP endpoint plus an interactive MCP Apps widget for:

• browsing TokenLab models from /models.json
• comparing pricing from /pricing.json
• generating copyable examples for Chat Completions, Responses, Anthropic Messages, and Gemini generateContent

This repository is intentionally small so it can be used as a public discoverability asset and a starting point for a hosted ChatGPT app.

Deploy with Vercel

Live MCP endpoint: https://tokenlab-model-explorer.vercel.app/mcp

Run locally

npm install
npm test
npm start

The server listens on http://localhost:8000.

• MCP endpoint: http://localhost:8000/mcp
• Widget preview: http://localhost:8000/widget

For ChatGPT local testing, expose the MCP endpoint with a tunnel such as ngrok, then add the /mcp URL as a connector in ChatGPT developer mode.

The Express app is also exported as the default module, so Vercel can deploy this repository without a custom adapter.

Environment

TOKENLAB_API_BASE=https://api.tokenlab.sh
PORT=8000

Tools

Tool	Purpose
open_tokenlab_model_explorer	Browse TokenLab models by category or search query.
compare_tokenlab_models	Compare pricing metadata for up to 8 model IDs.
generate_tokenlab_endpoint_example	Generate cURL snippets for OpenAI-compatible and native TokenLab endpoints.

Discovery inputs

• https://api.tokenlab.sh/models.json
• https://api.tokenlab.sh/pricing.json
• https://api.tokenlab.sh/integrations.json
• https://docs.tokenlab.sh/openapi.json

Notes

• This app does not require a TokenLab API key for discovery tools.
• Inference tools should use @tokenlab/mcp-server; this repo focuses on model exploration and endpoint examples.
• The widget follows the MCP Apps pattern: tools are registered with UI metadata, and the HTML resource is served as an MCP app resource.