A Streamlit-based chat app for LLMs with plug-and-play tool support via Model Context Protocol (MCP), powered by LangChain, LangGraph, and Docker.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"mcp-playground": {
"command": "<see-readme>",
"args": []
}
}
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A Streamlit-based playground that lets you chat with large language models and seamlessly plug in external Multi-Server Command Protocol (MCP) tools. Spin up multiple FastMCP servers (Weather & Currency) alongside a Streamlit client, all orchestrated with Docker Compose. The client is provider-agnostic (OpenAI • Amazon Bedrock • Anthropic • Google Gemini • Groq) thanks to LangChain + LangGraph. Built with uv for lightning-fast dependency installation.
No automated test available for this server. Check the GitHub README for setup instructions.
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