srezai-team/srezai-mcp

Overview

An MCP server that provides web search, page reading, and schema-based data extraction as tools for AI agents. It is written in TypeScript and implements the Model Context Protocol. The project is in early stages with no GitHub stars.

Best for

Best for
Developers building MCP-based AI agents that need web search and structured data extraction

Use cases

• Add live web search capability to an MCP-compatible AI agent
• Extract structured data from web pages using user-defined schemas
• Read and parse page content for agent-driven research workflows

Notes

An MCP server that provides web search, page reading, and schema-based data extraction as tools for AI agents. It is written in TypeScript and implements the Model Context Protocol. The project is in early stages with no GitHub stars.

0 stars on GitHub. Last updated 2026-08-06. Licensed MIT.

Use cases

• Add live web search capability to an MCP-compatible AI agent
• Extract structured data from web pages using user-defined schemas
• Read and parse page content for agent-driven research workflows

Pros

• Leverages the standard Model Context Protocol for agent integration
• Covers common needs in one server: search, reading, and structured extraction
• TypeScript codebase fits into JavaScript and Node.js tooling ecosystems

Cons

• No GitHub stars or demonstrated community traction
• Unknown maintenance activity and release stability
• Limited public information beyond the core feature description

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.