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feat: add example for langgraph-mcp proxy via javelin#228

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abhijitjavelin merged 2 commits intomainfrom
langgraph_mcp_integration
Sep 22, 2025
Merged

feat: add example for langgraph-mcp proxy via javelin#228
abhijitjavelin merged 2 commits intomainfrom
langgraph_mcp_integration

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Summary of Changes

Hello @abhijitjavelin, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a new example that illustrates how to integrate LangGraph with Javelin's guardrails service for robust content moderation. The example sets up a ReAct agent using the Model Context Protocol (MCP) to connect to Javelin, enabling it to detect and assess the safety of various prompts and content. It provides a clear, runnable demonstration of configuring the agent, initializing the MCP client, and performing content analysis, including handling potentially dangerous inputs.

Highlights

  • New Example Added: Introduced a new example demonstrating the integration of LangGraph with Javelin's guardrails service.
  • Javelin Guardrails via MCP: The example showcases how to use Javelin's guardrails service through the Model Context Protocol (MCP) for content moderation.
  • ReAct Agent Implementation: A GuardrailsMCPAgent class is implemented, leveraging langgraph.prebuilt.create_react_agent and MultiServerMCPClient to create an intelligent agent for safety checks.
  • Content Analysis: The agent is designed to analyze text content for safety and potential risks, with several test cases provided to demonstrate its functionality.
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Code Review

This pull request adds a new example demonstrating how to use Javelin's guardrails service with LangGraph. The code is well-structured and provides a clear demonstration. I've included a few suggestions to improve code quality and maintainability, such as removing unused code, improving configuration management, and using standard Python practices for error reporting and resource management.

@abhijitjavelin abhijitjavelin merged commit dd7043d into main Sep 22, 2025
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2 participants