web-search-agent

What is web-search-agent?

web-search-agent is a showcase that demonstrates how an agentic coding assistant can create a small web search agent using Pydantic AI and an MCP server. It is intended for developers who want to see a practical example of building a web search agent with these tools.

How to use web-search-agent?

The README only lists prerequisites: install the Roo Code VSCode extension, configure Claude 3.5 Sonnet inside Roo Code, and set up the Fetch MCP Server. No explicit installation or invocation commands are provided.

Key features of web-search-agent

• Enables creation of a web search agent via an agentic coding assistant.
• Leverages Pydantic AI for agent logic.
• Uses the MCP protocol to integrate with external servers.
• Works alongside the Fetch MCP Server for web page retrieval.
• Requires Claude 3.5 Sonnet as the underlying AI model.

Use cases of web-search-agent

• Building a small web search agent with minimal manual coding.
• Learning how to combine Pydantic AI, MCP servers, and an agentic coding assistant.
• Prototyping a search‑focused agent within a VSCode environment.

FAQ from web-search-agent

What does web-search-agent do?

It is a showcase that lets an agentic coding assistant (like Roo Code) create a small web search agent using Pydantic AI and an MCP server.

What are the prerequisites to use it?

You need the Roo Code VSCode extension, Claude 3.5 Sonnet configured in Roo Code, and the Fetch MCP Server already set up.

Which AI model is required?

Claude 3.5 Sonnet must be configured in Roo Code to run this showcase.

Is another MCP server needed?

Yes, the Fetch MCP Server must be configured for web fetching capabilities.

Where can I find the Fetch MCP Server?

It is available from the official modelcontextprotocol repository on GitHub (src/fetch folder).