"Java Programming Language" 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.

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

An MCP server that enables AI-assisted mobile security testing by exposing Frida functionality for Android application research. It provides tools for hooking Java methods, manipulating memory, managing device processes, and executing custom Frida scripts.

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.

Provides centralized security instructions for AI-assisted code generation by matching context-aware rules to the user's programming language and file patterns. It ensures generated code adheres to security best practices without requiring manual maintenance of instruction files across individual repositories.

This server enables interaction with SailPoint IdentityIQ through SCIM API endpoints, allowing MCP clients like Claude Desktop to manage identity resources using natural language.

Automates remediation of Java library vulnerabilities by processing a security advisory Excel export, scoping to a Spring Boot Maven app, applying version upgrades to pom.xml, and verifying the build.

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

Automatically detects security vulnerabilities in AI-generated code, scanning for hardcoded secrets, injection flaws, XSS, weak cryptography, authentication issues, path traversal, and vulnerable dependencies across JavaScript, Python, Java, and Go.

Enables Alexa+ and other MCP-capable assistants to voice-check suspicious messages, links, and phone numbers, with guided call interviews, official-source verification, and plain-language scam briefings.

Bridges large language models with the Metasploit Framework to enable natural language control over penetration testing workflows. It provides tools for searching modules, executing exploits, generating payloads, and managing active sessions.

Enables large language models to interact with Velociraptor DFIR through natural language, allowing queries and analysis of forensic data, artifacts, hunts, collections, and VQL results.

Enables threat-intelligence IOC enrichment using Pulsedive data through natural language queries.

Wraps the CodeQL Language Server Protocol to enable LLM agents to write CodeQL queries with intelligent code completion, hover information, and other language features.

Enables AI-powered Java source code vulnerability auditing through function-level taint analysis. Performs reverse tracking from dangerous functions to external entry points to automatically discover potential security vulnerability chains.

Enables AI-assisted development of CodeQL queries for security analysis through the Model Context Protocol. Provides tools for compiling, testing, and executing CodeQL queries across multiple programming languages.

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

Connects DMARC monitoring data to AI assistants, enabling natural language queries about domain compliance, sender analysis, and email authentication issues.

An enterprise-grade AI processing platform that provides advanced code analysis, automated documentation generation, security scanning, and knowledge extraction capabilities through a scalable MCP architecture. Features iterative neural processing, support for 100+ programming languages, and real-time streaming updates.