Web Search Agent
Demonstrate how to use Pydantic AI and the MCP Server to create a web search agent
rating : 2 points
downloads : 6.0K
What is the Fetch MCP Server?
The Fetch MCP Server is a streamlined implementation of the Model Context Protocol, designed to facilitate interaction with AI models. As middleware, it manages the context and requests between applications and AI models, especially suitable for using the Claude 3.5 model through Roo code extensions.Feature Highlights
The Fetch MCP Server provides an efficient and lightweight solution that supports context management, session persistence, and integration with various AI services. Its design focuses on performance and ease of use, making it suitable for developers to quickly integrate intelligent features.Application Scenarios
This server is widely used in areas such as code generation, automatic document generation, and question answering. Through Roo code extensions, developers can easily integrate AI capabilities into their projects, improving development efficiency and code quality.Functional Features
Lightweight Design
The Fetch MCP Server uses a lightweight architecture to ensure fast response and low resource consumption.
Context Management
Supports complex context processing to maintain conversation coherence.
Integration Capabilities
Compatible with mainstream AI services, easy to expand and customize.
Usage Guide
Install the Roo code extension.
Configure access permissions for Claude 3.5.
Integrate the Fetch MCP Server into the project.
Usage Examples
Frequently Asked Questions
Do I need an API key for Claude 3.5 to use this server?
Can it be used with other AI models?
How can I maintain context between sessions?
More Resources
Roo Code Extension
A VS Code extension for AI-assisted development.
MCP Specification Document
The official documentation of the Model Context Protocol.
Fetch MCP Source Code
View and contribute to the source code of the Fetch MCP Server.

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