MCP Agent with Web Search Integration
Enables interaction with an AI assistant powered by GPT-4o that can answer queries and fetch real-time web search data via Serper API.
README
MCP Model Context Protocol
š§© MCP Agent with Web Search Integration
This project demonstrates how to build an intelligent AI assistant using LlamaIndex, FastMCP, and OpenAI's GPT-4o, enhanced with real-time web search capabilities via Serper API.
With this setup:
You can interact with an agent that answers your queries.
If needed, the agent fetches fresh data from the internet to provide accurate and up-to-date information.
Note:
This project uses uv (a faster Python package manager) instead of pip for dependency management.
Features
ā AI Assistant powered by OpenAI gpt-4o
ā Integrated with llama-index Function Agent
ā Real-time Web Search using Serper.dev
ā Async-first implementation for speed š
ā Custom MCP server and client communication
ā Clean streaming of tool calls and responses
š§© Tech Stack
-
Python 3.11+
-
uv (Python dependency management)
-
FastMCP
-
LlamaIndex
-
OpenAI GPT-4o
-
HTTPx (for async HTTP requests)
-
Serper.dev API (Google Search API)
-
BeautifulSoup (Web scraping)
š References
-
Server-side code reference:
MCP Quickstart Server -
Client-side code reference:
LlamaIndex MCP Integration Example
š Running the Project
1. Start MCP Server
uv run mcp_server.py --server_type=sse
2. Start MCP Client
python mcp_client.py
3. Usage Example
You: Who is the CEO of OpenAI?
Agent: Sam Altman is the CEO of OpenAI. (retrieved from latest web search)
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