"How to write a Java application, especially using Spring" matching MCP servers:

MCP server for Java/Spring Boot architecture quality analysis and PR review, providing tools like detect_spring_context, review_pr_diff, and scan_violations.

A project-aware, read-only Nacos MCP server for Spring Cloud repositories.

Decompiles Maven dependencies into readable Java source directly inside your AI agent.

A secure-by-default MCP server and CLI for AI agents to inspect Spring Boot repositories and interact with runtime Actuator endpoints, enabling code review, dependency scanning, and monitoring.

Enables AI assistants to understand and analyze Spring Boot codebases through static analysis, allowing natural language queries about endpoints, classes, dependencies, and architecture without running the application.

Provides tools and guides for Spring Boot development including code generation, security audit, and query optimization.

A privacy-first MCP server for locally managing job, fellowship, and graduate-school applications. It offers tools for tracking application status, analyzing role fit, generating LaTeX CV/cover letters, interview prep, and discovering public jobs from ATS APIs.

Provides Java development capabilities through Eclipse JDT.LS, enabling symbol navigation, code diagnostics, workspace searching, and Javadoc access across Java projects.

A Codex MCP server that provides low-token Java semantic navigation using source indexing and optionally JDT Language Server for enhanced symbol, references, and diagnostics.

Enables automatic generation of explicit boilerplate methods (getter/setter/equals/hashCode/toString/constructors) for Java entity classes, replacing Lombok dependencies with visible, reviewable code.

An MCP server that enables safe, audited mutation of Google Ads campaigns—creating ads, ad groups, keywords, and assets or adjusting budgets and statuses—with a dry-run default and an optional guarded remove operation, plus read-only Keyword Planner ideas.

MCP server for writing Markdown report fragments to files with path safety and SHA-256 verification.

Enables AI assistants to read, search, and fully manage a Zotero library locally—organizing collections, editing items, uploading files, and managing notes, tags, and trash—through the local Zotero API without cloud sync.

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.

An MCP server that uses the CFR decompiler to convert Java .class and .jar files back into readable source code. It supports single-file, batch, and recursive directory decompilation with automated CFR tool management.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

A high-performance MCP server that bridges AI agents with Java codebases, providing professional-grade Java language intelligence via Eclipse JDT.LS.

Query Langfuse traces, schema and datasets, scores and metrics, debug exceptions, analyze sessions, and manage prompts. Full observability toolkit for LLM applications.

A Model Context Protocol server that enables AI agents to programmatically create, modify, and manage Figma documents via a WebSocket bridge and Figma plugin.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.