zcaceres/fetch-mcp

Overview

A Model Context Protocol server for fetching HTTP resources. It lets AI models retrieve web content through a standardized interface. Written in TypeScript, it offers flexible configuration for different fetching needs.

Best for

Best for
Developers building MCP-enabled AI agents that need web access

Use cases

• Retrieving webpage content for AI assistants
• Fetching API data in structured formats
• Integrating web scraping into MCP-based workflows

How to use

Install

npx mcp-fetch <command> <url> [flags]

Tools exposed

• fetch_html
• fetch_markdown
• fetch_txt
• fetch_json
• fetch_readable
• max_length
• start_index
• DEFAULT_LIMIT
• MAX_RESPONSE_BYTES

Example client config

{\n  "mcpServers": {\n    "fetch": {\n      "command": "npx",\n      "args": ["mcp-fetch-server"]\n    }\n  }\n}

Notes

A Model Context Protocol server for fetching HTTP resources. It lets AI models retrieve web content through a standardized interface. Written in TypeScript, it offers flexible configuration for different fetching needs.

773 stars on GitHub. Last updated 2026-03-12. Licensed MIT.

Use cases

• Retrieving webpage content for AI assistants
• Fetching API data in structured formats
• Integrating web scraping into MCP-based workflows

Pros

• Simple setup with clear configuration options
• Moderate adoption with 773 GitHub stars
• Written in TypeScript, easy to extend

Cons

• Limited to HTTP fetching, no support for JavaScript rendering
• Requires MCP-compatible client to operate
• No built-in caching mechanisms

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