"Assistance with Java development" matching MCP servers:

GhostHunt is an MCP server that scans your development machine for API keys, tokens, and credentials hiding in places you forgot to check.

Cognitive security for AI-assisted development, preventing dangerous commands and large AI code rewrites when fatigued.

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.

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

Enables AI agents to securely read and write SAP ABAP development objects via the ADT REST API, enforcing policy-based guardrails such as package/namespace allow-lists, read-only mode, human approvals, and audit logging.

Enables AI assistants to audit and clean development workspaces safely by detecting reclaimable artifacts, exposed .env files, and potential secret leaks.

The server can be utilized for secure development by listing all packages' CVEs, their affected versions and their fix versions.

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

MCP server for Thales CipherTrust Secrets Management (powered by Akeyless) enabling secrets, DFC keys, authentication methods, roles, targets, analytics management, and intelligent app development with hardcoded secret migration.

Provides 14 MCP tools for AI agent infrastructure, enabling knowledge base queries, skill search, handoffs, blueprint validation, trust scoring, identity verification, SLA validation, and compliance checks.

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.

Enables secure database operations on SQL Server instances through a three-tier safety system, supporting schema exploration, query execution, performance analysis, and data export with configurable security levels from read-only to full development access.

A Model Context Protocol server that provides SD Elements API integration, enabling LLMs to interact with SD Elements security development lifecycle platform.

Enables orchestrating secure software development pipelines with domain-specific compliance (HIPAA, PCI-DSS, etc.), generating pseudocode, threat models, and CI/CD from user stories via natural language.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

Provides SDLC compliance verification as tools that AI agents can invoke, continuously monitoring and evaluating development processes.

Provides AI coding agents with direct access to secrets management (get, set, list, delete secrets, and list environments) through the Model Context Protocol, enabling secure secret operations during development.

Provides deterministic local development tools over stdio MCP, including repository mapping, code review, secret and dependency scanning, release checks, whitelisted checks, scaffolding, and workflow state tracking.

The Checkmarx Security MCP server bridges your AI assistant (Claude, Cursor, Copilot, etc.) with Checkmarx One's enterprise application security platform. It exposes security workflows as natural-language-accessible MCP tools, allowing developers to scan code, investigate findings, and receive context-aware fixes without leaving their development environment.

Demonstrates how to secure an MCP server with OAuth 2.1 using AWS Cognito, with support for dynamic client registration and client ID metadata documents.