💥🛠️Build a Web Search Chatbot with GPT-4o and MCP Brave Search

For GPT-4o, this workflow automates the creation of an AI-powered chatbot that processes user queries, executes searches using Brave Search, and provides enriched responses. It integrates multiple tools to streamline user interactions, enhancing data retrieval and conversational capabilities. Ideal for developers and businesses, it simplifies the setup of intelligent chat solutions, saving time and improving user engagement.

7/8/2025
15 nodes
Complex
manualcomplexlangchainmcpclienttoolsticky noteadvanced
Categories:
Complex WorkflowManual Triggered
Integrations:
LangChainMcpClientToolSticky Note

Target Audience

Target Audience


- Developers: Those looking to integrate AI chat capabilities into their applications.
- Automation Enthusiasts: Individuals who enjoy creating automated workflows for improved efficiency.
- Businesses: Companies seeking to enhance user interactions and streamline data retrieval processes using AI.
- Researchers: Professionals needing quick access to information through natural language queries.

Problem Solved

Problem Solved


This workflow addresses the challenge of creating an intelligent chatbot that can effectively process user queries, execute searches using Brave Search, and provide enriched AI responses. It simplifies the integration of multiple tools into a cohesive system, ultimately saving time and effort for users who require a robust conversational AI solution.

Workflow Steps

Workflow Steps


1. Trigger: The workflow starts with a Chat Trigger node that listens for incoming chat messages.
2. AI Processing: The AI Agent node processes user input using the GPT-4o model, generating relevant responses.
3. Tool Retrieval: The MCP Get Brave Tools node retrieves necessary tools for executing searches based on user queries.
4. Search Execution: The MCP Execute Brave Search node performs specific search queries using the retrieved tools.
5. Memory Maintenance: The Simple Memory node maintains a short-term memory of the conversation, allowing the chatbot to provide contextually relevant responses.

Customization Guide

Customization Guide


- Modify AI Agent Settings: Adjust the prompt settings of the AI Agent to tailor responses for specific use cases.
- Adjust Memory Buffer: Change the memory buffer in the Simple Memory node to retain more or less conversational context based on your needs.
- Expand Tool Functionality: Replace or add additional tools in the MCP nodes to enhance the chatbot's capabilities and functionality.