Web Search Agent

Web Search Agent

Demonstrate how to use Pydantic AI and the MCP Server to create a web search agent

Developer tools Artificial intelligence chatbots #Web Search #AI Agent #MCP Service #Coding Assistant

rating : 2 points

downloads : 6.0K

update time : 2025-04-28

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.

Gitlab MCP Server

The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.

A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.

Markdownify MCP

Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.

Duckduckgo MCP Server

The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.

UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.

Figma Context MCP

Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.

Minimax MCP Server

The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.

Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.

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