"Information about Java programming language or Java-related topics" matching MCP servers:

Enables scanning Java (Maven) projects for known vulnerabilities via natural language, returning severity-sorted reports with CVSS scores and fix versions.

A tool for detecting and cleaning Java memory shells via local or SSH remote execution. It enables AI agents to scan Java processes, analyze suspicious class code, and safely remove memory shells after user confirmation.

MCP server for Renef, providing dynamic instrumentation and reverse engineering capabilities for Android ARM64, including native hooking, Java interception, and memory manipulation.

Scans Python, Node.js, Java/Spring, and PHP dependency manifests for known vulnerabilities using OSV and GitHub Advisory APIs.

Agent-friendly query layer over the ASD Information Security Manual, served via MCP. Enables agents to discover and interrogate ISM controls using plain language queries and coverage tracking for IRAP review.

Enables AI-powered analysis of Rapid7 vulnerability and asset data by exporting via the Bulk Export API and making it queryable through natural language or SQL in MCP-compatible tools.

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.

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.

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

Transparent Go proxy that intercepts, signs, rate-limits, redacts, and audits all MCP JSON-RPC tool calls without modifying client or server. Stores to JSONL or SQLite with HMAC-SHA256 signatures.

Cross-repository code knowledge graph MCP server for Java, Kotlin, JavaScript, and TypeScript. Indexes source code into embedded KuzuDB via tree-sitter and exposes 30+ tools for call-flow tracing, multi-hop taint analysis (OWASP/CWE/PCI/STIG), entry-point reachability filtering, performance hotspot detection, and license compliance — without reading source files. 95% fewer tokens vs source-read

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

Detects and redacts sensitive personal information such as names, emails, phone numbers, ID numbers, and locations in text before it is processed by AI agents, using configurable mask, hash, or remove strategies.

Provides instant access to authoritative security documentation from organizations like OWASP, NIST, and major cloud providers through natural language semantic search. It enables users to retrieve security best practices, frameworks, and vulnerability information directly from a locally cached knowledge base.

Enables AI assistants to perform detailed DNS reconnaissance through natural language requests. Retrieves comprehensive DNS record information including subdomains, mail servers, and DNS infrastructure details using the DNSDumpster API.

Enables natural language querying of Tanium assets, vulnerabilities, patches, and deployment information through the Tanium Gateway GraphQL API, integrating with MCP hosts like Claude Desktop, Cursor, VS Code, and Gemini CLI.

MCP server for managing Porkbun domains, DNS, and related services via Porkbun's API. Every mutation requires a reason and is audited for traceability.

Provides access to Shodan API functionality, enabling AI assistants to query information about internet-connected devices for cybersecurity research and threat intelligence.

Provides crowdsourced package intelligence and security alerts for AI coding assistants by analyzing project dependencies and framework co-occurrence. It enables automated project scans, package alternative discovery, and data-driven recommendations across multiple programming ecosystems.