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Kjopstad-IT/rqwstr

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rqwstr — AI-native HTTP security testing MCP server. Release binaries + Claude Desktop .mcpb bundles. Source proprietary; docs at rqwstr.com.

K

MCP

Kjopstad-IT/rqwstr

Added 13 July 2026

Overview

rqwstr is an MCP (Model Context Protocol) server for HTTP security testing. It provides release binaries and Claude Desktop .mcpb bundles for integration with AI assistants. The source code is proprietary with documentation available at rqwstr.com.

Best for

Best for
Developers who want to use AI assistants like Claude for automated HTTP security testing without building the integration from scratch

Use cases

  • Automating HTTP security vulnerability scans via an AI assistant
  • Integrating security testing into Claude Desktop workflows
  • Testing web endpoints for common security issues using natural language prompts

Notes

rqwstr is an MCP (Model Context Protocol) server for HTTP security testing. It provides release binaries and Claude Desktop .mcpb bundles for integration with AI assistants. The source code is proprietary with documentation available at rqwstr.com.

0 stars on GitHub. Last updated 2026-07-06.

Use cases

  • Automating HTTP security vulnerability scans via an AI assistant
  • Integrating security testing into Claude Desktop workflows
  • Testing web endpoints for common security issues using natural language prompts

Pros

  • Provides a structured MCP interface for AI-driven security testing
  • Offers ready-to-use binaries and Claude Desktop bundles for quick setup
  • Leverages AI assistants to simplify and expedite HTTP security checks

Cons

  • Source code is proprietary, limiting transparency and customization
  • No public activity or community contributions on GitHub
  • Documentation is external and may be limited to what is available at rqwstr.com

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

Pros

  • Provides a structured MCP interface for AI-driven security testing
  • Offers ready-to-use binaries and Claude Desktop bundles for quick setup
  • Leverages AI assistants to simplify and expedite HTTP security checks

Cons

  • Source code is proprietary, limiting transparency and customization
  • No public activity or community contributions on GitHub
  • Documentation is external and may be limited to what is available at rqwstr.com
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