Skip to main content
Glama
hedging8563

TokenLab Model Explorer

TokenLab OpenAI Apps 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 /v1/models, preserving the native decision category

  • comparing pricing from /pricing.json

  • generating contract-checked examples for Chat Completions, Responses, Anthropic Messages, Gemini generateContent, and Jev / System One decisions

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://exposure-tokenlab-openai-apps-model.vercel.app/mcp

The maintained Vercel project deploys this repository to that hostname. The historical tokenlab-model-explorer.vercel.app deployment is not attached to this project and still serves the older contract; use the maintained endpoint for Jev decision examples.

Run locally

npm install
npm test
npm start

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

  • MCP endpoint: http://localhost:8000/mcp

  • Standalone model directory: http://localhost:8000/widget

Opening /widget directly loads the complete public model index, with 50 results per page. Search and category filters run across the entire loaded catalog, not just the current page. The embedded MCP App resource remains a tool-result view and displays no placeholder models before the host supplies a result. MCP discovery tools still return a bounded result set for conversation use.

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.

Related MCP server: APIAny MCP

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/v1/models and /v1/models/{id}

  • https://api.tokenlab.sh/pricing.json

  • https://api.tokenlab.sh/integrations.json

  • https://docs.tokenlab.sh/openapi.json

Notes

  • The standalone /widget and Hugging Face static Space share huggingface/index.html. Upload that exact file to the existing kiln4758/tokenlab-model-explorer Space after validation; do not independently edit its pagination or endpoint logic in two places.

  • /widget reads the catalog through same-origin /public/v1/models, /public/v1/models/:model, and /public/pricing.json. These read-only routes forward neither credentials nor arbitrary URLs; the static Space retains direct public API reads from its allowed origin.

  • This app does not require a TokenLab API key for discovery tools.

  • Inference tools should use @tokenlabai/mcp-server; this repo focuses on model exploration and endpoint examples. System One examples are synchronous typed decisions, not chat replies or authorization to execute actions.

  • The widget follows the MCP Apps pattern: tools are registered with UI metadata, and the HTML resource is served as an MCP app resource.

Related MCP Connectors

Related MCP Servers

  • -
    license
    Not graded
    quality
    Not graded
    maintenance
    Enables discovery of public AI models with pricing, documentation context, and OpenAI-compatible integration examples. Supports both read-only queries and paid async media generation tasks.
    -
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables agents to query live AI model pricing, compare providers, and calculate token workload costs from current published prices.
    MIT