FinClip Agent

Example Use Cases

• 1

  An embeddable chat widget to quickly add conversational UI to any website or mini-program with minimal setup.

• 2

  Augment LLM responses with a knowledge base (RAG) or pre-processing via external MCP servers for higher-quality, grounded answers.

• 3

  Real-time streaming responses and conversation monitoring (e.g., publish conversation segments to NATS for analytics or compliance).

Description

FinClip-Agent provides a plug-and-play chatbot UI that can be embedded into web pages or mini-programs and connects to OpenAI-compatible LLMs. It supports optional RAG/knowledge-base preprocessing via MCP servers, real-time streaming (SSE/WebSocket), NATS-based conversation monitoring, and flexible configuration through .agent.env and brain.md files. Built with Bun and TypeScript, it aims for zero-install usage (bunx) and production-ready deployment with customization and self-hosting options.