"Information about bug classification" matching MCP servers:

An MCP server that gives AI coding assistants QA superpowers, enabling users to report bugs by pointing, clicking, or typing while automatically capturing diagnostic data for AI-driven test-feedback-fix loops.

Automates bug bounty hunting across Web2 and Web3 platforms, performing recon, vulnerability scanning, Solidity audits, and report generation.

A comprehensive MCP server for automated bug bounty hunting and security reconnaissance, featuring over 28 specialized tools for subdomain discovery, vulnerability scanning, and traffic analysis. It integrates automated scope validation and professional reporting across multiple platforms like HackerOne and Bugcrowd to streamline security testing.

MCP server that triages GitHub issues by classifying, ranking priority, and assigning an engineer using a local LLM (Ollama) with full traceability.

Enables managing bugs and test cases in Google Sheets via Claude Code, with tools to list, search, filter failed, and update test cases.

Provides Claude Code with access to a comprehensive bug bounty knowledge base including techniques, payloads, wordlists, and real-world reports through 14 tools for searching, retrieving payloads, and assessing report quality.

A shared, concurrency-safe ledger for LLM code audits. It enables multiple agents to collaboratively report, verify, and resolve bugs with deduplication and hallucination resistance.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

Professional security testing server with 50+ integrated tools for web application vulnerability scanning, reconnaissance, fuzzing, and API testing. Enables comprehensive bug bounty hunting workflows including subdomain enumeration, XSS/SQLi detection, and automated security assessments.

Enables users to retrieve and structure shipment tracking information from DB Schenker's website using natural language queries.

Enables AI agents to read and write UpNote notes locally via SQLite and URL schemes, supporting search, creation, editing, and organization.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

Enables bug localization by analyzing a repo and bug report with an ant-swarm LLM, returning a HOT/WARM/COLD heatmap and JSON audit trail via MCP.

Provides curated, meaningful information about Voi ecosystem protocols, applications, assets, and names, enabling identification and search through natural language.

Enables creating portable, reviewable bug reproduction capsules from bug reports with safe, bounded execution and redacted evidence.

Persistent memory for AI coding agents, storing learned architecture decisions, patterns, and bug fixes in a local SQLite database with full-text search, enabling agents to recall information across sessions.

An MCP server providing comprehensive HubSpot CMS development documentation, enabling users to get contextual information about building HubSpot websites through natural language.

Manages feature documentation and bug tracking inside an Obsidian vault, organized by project, enabling project listing, feature doc writing, bug filing, status updates, and retrieval.

Local bug-reproduction video analysis tool that processes bug recordings frame-by-frame, producing a structured Bug Context Bundle, and exposes this capability over MCP for use by coding agents like VS Code and Claude.

A local, file-backed feature/bug board for projects, enabling Claude to read and write markdown boards (featurelist.md / buglist.md) directly in chat for task planning, bug logging, and velocity tracking.