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M MCP Servers Developer low

nangman-infra/touch-browser

by Various

Turn any web page into traceable, citable evidence for AI agents.

N

MCP

nangman-infra/touch-browser

Added 1 June 2026

#ai-agent #browser-automation #citation #evidence-extraction #fact-checking #mcp #nlp #rust

Overview

A Rust tool that converts web pages into traceable, citable evidence for AI agents. It captures page content and metadata to support verification of sources used by AI systems.

Best for

Best for
Developers building AI agents that need verifiable, citable web evidence

Use cases

  • Capturing web content as citable references for AI reasoning
  • Providing verifiable sources for retrieval-augmented generation pipelines
  • Creating auditable records of web pages used in AI agent workflows

How to use

Install

npx -y @nangman-infra/touch-browser-mcp

Tools exposed

  • npx
  • @nangman-infra/touch-browser-mcp

Tested with

Claude Desktop, Cursor

Example client config

{\n  "mcpServers": {\n    "touch-browser": {\n      "command": "npx",\n      "args": ["-y", "@nangman-infra/touch-browser-mcp"]\n    }\n  }\n}

Notes

A Rust tool that converts web pages into traceable, citable evidence for AI agents. It captures page content and metadata to support verification of sources used by AI systems.

9 stars on GitHub. Last updated 2026-05-17. Licensed MPL-2.0.

Use cases

  • Capturing web content as citable references for AI reasoning
  • Providing verifiable sources for retrieval-augmented generation pipelines
  • Creating auditable records of web pages used in AI agent workflows

Pros

  • Lightweight Rust implementation for fast page capture
  • Explicit focus on traceability and citation for AI agents
  • Open source with a clear purpose for evidence-backed AI

Cons

  • Very early stage (9 GitHub stars), limited community and support
  • No mention of JavaScript rendering or complex page support
  • Documentation and usage examples likely minimal

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

Pros

  • Lightweight Rust implementation for fast page capture
  • Explicit focus on traceability and citation for AI agents
  • Open source with a clear purpose for evidence-backed AI

Cons

  • Very early stage (9 GitHub stars), limited community and support
  • No mention of JavaScript rendering or complex page support
  • Documentation and usage examples likely minimal
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