"Help with Unity game development" matching MCP servers:

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.

Enables coding agents to access approved user stories and acceptance criteria via MCP, with tools to list, retrieve, update, and check story requirements against the working tree.

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.

Analyzes and compares GitHub repositories, tracks star growth, and offers AI-powered README optimization to help grow open-source projects.

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.

Enables AI assistants to manage the AUL game library remotely by uploading covers and game assets, downloading covers, extracting APK package names, and updating game configuration entries via MCP.

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.

Enables task management and automated development workflow tracking with Eureka Labo, including creating/updating tasks, starting work sessions, and automatically capturing git changes with diff logging.

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.

Provides natural language search capabilities for Spryker GitHub repositories, packages, and public documentation. It enables code-level searches across Spryker organizations to help developers find relevant modules and technical information.

An MCP server that enables AI assistants like Claude to help users manage their GitHub notifications through natural language commands.

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.

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 AI assistants to interact with GitHub repositories, Confluence documentation, and Databricks Unity Catalog through comprehensive tools for code exploration, documentation retrieval, and data schema management.

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

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.

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.

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.

Connects AI IDEs and coding agents to the local cm CLI through a fixed allowlist of documented source-control commands. Enables safe inspection of workspace status, history, diffs, branches, labels, locks, and merge previews, plus guarded checkins, checkouts, branch/label creation, and merges with readonly mode by default.

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.

A Model Context Protocol server that integrates with Cursor IDE to provide real-time git-spice documentation search capability.

mcp-agent-ops is a local stdio MCP server for deterministic agent-development operations that otherwise cause repeated shell and generated Python calls.

An MCP server that standardizes and binds development tool patterns, enabling AI assistants like Claude Code to generate code more efficiently with fewer errors and better autocorrection.

Provides comprehensive Git repository insights including author statistics, branch health, and code churn analysis. It enables users to perform data-driven assessments of their codebase and track development patterns through the Model Context Protocol.