"Assistance with Java development" matching MCP servers:

A Java implementation of the GitHub MCP (Model Context Protocol) Server using Spring AI. This server provides MCP-compatible tools for interacting with the GitHub API.

Enables AI coding agents to orchestrate the full software development lifecycle on GitHub, including planning, issue creation, code review, security triage, and release readiness checks.

Governance and session management layer for AI-assisted software development; enables agent binding, session tracking, and structured code review within the HestAI ecosystem.

An MCP server that provides deterministic tools for AI assistants to standardize development workflows, including branch naming, commit validation, and PR checklists.

An MCP server providing comprehensive Gitea API coverage with 186 tools for managing repositories, issues, pull requests, and CI/CD workflows. It enables autonomous AI agents to perform complex development and administrative tasks directly through a Gitea instance.

MCP server that integrates GitHub Spec-Kit with AI coding agents to manage Spec-Driven Development workflows, including specification authoring, planning, task generation, and consistency analysis.

An MCP server designed to retrieve DevOps skills, code standards, and SAP Fiori documentation templates from a GitHub repository. It allows users to list available resources and fetch specific best practices to integrate directly into their development workflow.

An enhanced Model Context Protocol (MCP) server implementing the Ralph Wiggum technique for iterative, self-referential AI development loops.

Analyzes Git commit history and code diffs to auto-remember development context, providing commit timelines, work sessions, unfinished task detection, and daily/weekly reports.

Enables read access to GitHub source code, including code search, file contents, symbols, and Java-aware fragment extraction, with optional per-call repository overrides.

Generates standup reports from git history by analyzing recent commits across configured repositories. Enables users to query their development activity, such as what they worked on yesterday or over multiple days, through natural language interactions with Claude.

Integrates Zoho Projects, Git, and SonarQube to automate task management, branch creation, code quality checks, and reporting for React developers.

Enables full-stack compiler development across the hw-native-sys workspace by combining repository operations (git health, code search, task running) with a knowledge layer for architecture docs, task routing, and abstraction/pass pipeline information.

An MCP server for issue-driven GitLab development, automating requirement analysis, issue creation, branching, coding, merge requests, and issue updates.

MCP server + CLI for automating Oracle Visual Builder Studio/VBCS app development, enabling artifact read/write, build/audit execution, and VBCS REST API interactions from Claude.

A lightweight server for managing local workspaces through file operations, Git version control, and Node.js development commands. It enables users to manipulate files, track repository status, and execute build or dependency scripts within their development environment.

Analyzes git repository metrics to understand team health, development patterns, code quality, and collaboration through natural language queries. Provides insights on commit statistics, bus factor, velocity trends, technical debt, and burnout detection.

An MCP server that generates project-specific .gitignore files and lists available templates using the gitignore.io API. It allows users to streamline project configuration by creating customized ignore files for various programming languages and development environments.

Enables AI-driven orchestration of GitHub development workflows including automated issue analysis, code generation, code review, and PR creation through multiple specialized agents. Integrates with GitHub Actions to automate the complete development process from issue to pull request.

Provides AI assistants with access to personal best practice skills and coding guidelines stored as markdown files in a GitHub repository, enabling retrieval and listing of custom development standards.