About This App
Demonstrates the Streamlit pattern — the lowest-barrier chat implementation. Built as a single Python file with Streamlit's native chat components. Expandable tool call sections show raw API responses. Perfect for data teams who want quick access to market data.
Screenshots
MarketCheck API Endpoints Used
This app calls the following MarketCheck API endpoints under the hood:
How to Use
1. In the Browser (Demo or Live Data)
Click "Launch App" above. Enter your MarketCheck API key in the settings gear for live data, or explore with demo data.
Chat apps also require an LLM API key (Anthropic, OpenAI, or Google Gemini).
2. As an MCP App (AI Assistants)
Add the MarketCheck MCP server to Claude, VS Code, or any MCP-compatible host:
{
"mcpServers": {
"marketcheck-apps": {
"url": "https://apps.marketcheck.com/mcp?api_key=YOUR_KEY"
}
}
}
Then ask the AI to use the chat tool.
3. Embed in Your Portal
<iframe src="https://apps.marketcheck.com/apps/chat-streamlit/dist/index.html?api_key=YOUR_KEY&embed=true" width="100%" height="700" style="border:none;border-radius:8px;" ></iframe>
4. Get a Free API Key
Sign up at developers.marketcheck.com to get a free API key and start testing.
Source Code
This app is open source and part of the MarketCheck API & MCP Apps monorepo:
The full repository contains 52 apps across 18 segments, plus full-stack chat demo implementations.