LangChain MCP Playground

Example Use Cases

• 1

  Coordinate multi-domain investigations using specialized expert agents.

• 2

  Perform document retrieval augmented generation from various document sources.

• 3

  Integrate with Slack for interactive workflows and alert runbook generation.

Description

This project provides a playground for building and interacting with language models and workflows using LangChain.js, LangGraph, and Slack integration. It supports multi-agent investigation systems coordinated by a Supervisor agent, document retrieval augmented generation (RAG), and alert runbook generation from Slack threads. The server supports REST API and Slack bot modes, enabling advanced LLM-powered tools with Model Context Protocol (MCP).