"Information about bug classification" matching MCP servers:

Enables AI agents to query bug-bounty programs, scopes, rules, payouts, reports, statistics, and researcher rankings through the platform's public API, with optional private-program access via a session cookie.

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.

An MCP server that provides passive and low-impact active reconnaissance tools for authorized bug bounty and security assessments, enabling LLMs to perform structured recon and generate reports.

Enables AI agents to generate and manage specialized bug bounty hunting workflows including reconnaissance, vulnerability testing, OSINT gathering, and file upload testing. Provides REST API endpoints for comprehensive security assessments with intelligence-driven vulnerability prioritization.

Enables read-only, time-boxed Postgres queries with SQL validation and PII masking, supporting automated bug triage through Claude.

An MCP authorization server implementing OAuth2/OIDC flows, supporting dynamic client registration, PKCE, consent screens, and client ID metadata documents for MCP authorization.

Enables AI agents to run read-only AWS security audits and receive normalized, severity-ranked findings about account posture, such as stale access keys, missing MFA, public buckets, open security groups, and CloudTrail coverage.

Honeypot threat intelligence for AI agents. Query 90 days of probe data from our sensor network: IP reputation, scanner classification, CVE probing trends, TLS/SSH/JA4 fingerprints. Free tier 500 credits/day, OAuth + bearer auth, streamable HTTP at https://mcp.honeylabs.net/mcp.

A robust Model Control Protocol server that enables AI agents to access real-time cyber threat intelligence and detailed information about vulnerabilities, threat actors, malware, and other cyber-security entities.

A read-only MCP server for the Qualys PCI Merchant API that lets LLM assistants answer questions about PCI compliance posture, such as which hosts are failing PCI or listing high findings.

An MCP server that exposes macOS-native device trust signals — the facts about a Mac that cannot be gathered from a Linux container or a cloud runner. All tools are strictly read-only.

Spam classification MCP server for AI agents that classifies messages as SPAM, SUSPICIOUS, or SAFE based on real Telegram moderation data and multi-layer detection.

A Model Context Protocol (MCP) server for Socket integration, allowing AI assistants to efficiently check dependency vulnerability scores and security information.

Provides automated EU AI Act compliance tools, including risk classification, role determination, transparency disclosures, content watermarking, deepfake labeling, and security threat detection.

Exposes Microsoft 365 privacy/compliance audit checks as MCP tools, enabling natural language queries about tenant configuration, orphaned documents, Conditional Access policies, DLP policies, and Copilot usage.

A Model Context Protocol (MCP) server for interacting with the Intigriti bug bounty platform's Researcher API. It enables AI assistants to manage bug bounty programs, submissions, and research workflow.

MISP (Malware Information Sharing Platform) MCP server with built-in prompt injection defense via prompt-defense-audit

Enables natural-language queries about Azure resource compliance, including VM compliance, patch status, orphaned RBAC, and infrastructure health, through read-only MCP tools.

An MCP server for vulnerability management that provides tools for automated severity and CWE classification using NLP models. It enables AI agents to query the Vulnerability Lookup API for detailed CVE information and search for security vulnerabilities across various sources.

Enables MCP-capable clients to query the tool registry, check install status, get tool recommendations for CTF or bug-bounty work, and run installed security tools through a governed execution path.

Enables LLM agents to run commands, manage interactive or background sessions, and transfer files on remote hosts under policy-based authorization, command classification, approval gates, and full audit logging. Supports per-host profiles with role-based rules, streaming file transfers that keep bytes out of model context, and a configurable approval policy for destructive or privileged work.

A Model Context Protocol (MCP) server for the YesWeHack bug bounty platform that lets Claude query private and public programs, reports, and the hacktivity feed directly from a conversation.

Enables AI assistants to validate individual or batch email addresses for deliverability, and to check account plan information, through MCP tools.

Enables local detection of protected health information in source code before it reaches LLM prompts, log statements, or analytics calls.

Provides read-only access to manufacturing plant data from Excel or SAP S/4HANA, enabling natural-language queries for OEE, downtime Pareto, late work orders, scrap, and inventory alerts. It enforces data classification, masking, row limits, and audit logging for safe Claude/MCP client access.

Keeps bug-hunting AI agents within an authorized scope by checking every target against declarative allow/deny rules, refusing out-of-scope findings, and scrubbing secrets from evidence. It also computes CVSS v3.1 base scores and records findings in an append-only ledger.

Enables AI agents and developers to audit any URL or domain for seven critical OWASP HTTP security headers, returning an A+ to F grade plus actionable Nginx, Apache, Caddy, and Cloudflare remediation snippets. It also probes /.well-known/security.txt and /security.txt to surface responsible vulnerability disclosure contacts, bug bounty scopes, and PGP keys.

MCP server for Ironscales — phishing incident management, email classification, and remediation

Provides AI governance controls as MCP tools for safety screening, risk classification, and red teaming of AI systems, returning structured governance reports.

MCP server providing direct tool-access to security-testing primitives for bug bounty hunting, including recon, request replay, IDOR/BOLA fuzzing, vulnerability detection, secrets scanning, and persistent hunt memory with confidence-scored findings.