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Darko893/haunt-mcp-server

by Various

[](https://glama.ai/mcp/servers/Darko893/haunt-mcp-server) 📇 ☁️ - Haunt web extraction for AI agents: structured JSON or clean Markdown from permitted public pages, including Clou

This project appears archived and may no longer be maintained.

MCP

Darko893/haunt-mcp-server

Added 3 Sept 2026

Overview

Darko893/haunt-mcp-server is a Model Context Protocol server that extracts web content for AI agents. It returns permitted public pages as structured JSON or clean Markdown, making page data ready for downstream agent processing. The tool is designed to integrate with MCP-compatible clients and workflows.

Best for

Best for
Developers building MCP-based AI agents that need simple, permission-aware web extraction.

Use cases

  • Convert public web pages into structured JSON for data pipelines
  • Fetch and clean pages to Markdown for LLM context windows
  • Enable agents to pull approved site content on demand

Notes

Darko893/haunt-mcp-server is a Model Context Protocol server that extracts web content for AI agents. It returns permitted public pages as structured JSON or clean Markdown, making page data ready for downstream agent processing. The tool is designed to integrate with MCP-compatible clients and workflows.

Use cases

  • Convert public web pages into structured JSON for data pipelines
  • Fetch and clean pages to Markdown for LLM context windows
  • Enable agents to pull approved site content on demand

Pros

  • Offers two clean output formats for different use cases
  • Respects page permissions, reducing scraping concerns
  • Works as a standard MCP server for agent integration

Cons

  • Only works on permitted public pages, limiting scope
  • Requires an MCP client or runner to be useful
  • Project maintenance and support are not documented

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

Pros

  • Offers two clean output formats for different use cases
  • Respects page permissions, reducing scraping concerns
  • Works as a standard MCP server for agent integration

Cons

  • Only works on permitted public pages, limiting scope
  • Requires an MCP client or runner to be useful
  • Project maintenance and support are not documented
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