"Building a complete Arabic Scratch 3 adventure game" matching MCP servers:

Codebase Q&A agent with git-history awareness. Explore a repo with list_files, read_file, and search, plus git log, blame, and diff and a repo map to answer "why did this change?" questions. Runs locally as an MCP server for Claude Code and other MCP clients.

Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.

Zero-dependency stdio MCP server for token-aware prompt version diffs. Compare prompts or files and get machine-readable token delta reports with confidence labels.

A secure and scalable Git MCP server giving AI agents powerful version control for local and (soon) serverless environments.

An MCP server that enables GitHub API operations such as managing repositories, issues, and pull requests through natural language.

Connects coding agents to Amendor to pull change requests from live sites and automate building branches and pull requests.

Enables AI assistants to scout GitHub for existing open-source projects, libraries, and frameworks before building from scratch, offering tools for stack suggestions, repository searches, and detailed repo evaluation.

Enables building structured release evidence by comparing two Git refs and correlating commits, merged pull requests, linked issues, labels, changed files, and contributors.

Enables MCP clients to commit to a 3D GitHub commit town, where each agent's commits build a progressively larger building, from cottage to skyscraper.

Enables autonomous AI agents and developers to interact with the GitHub REST API for repositories, pull requests, issues, actions, releases, tags, and user/org data through MCP tools. It uses token-efficient response summaries and optional 3-tier read-only safeguards to keep interactions safe and context-window friendly.

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.

Enables AI assistants to review GitLab merge requests by fetching changes, analyzing diffs, adding comments, and managing approvals through the GitLab API. Supports complete merge request analysis, file-specific reviews, and version comparisons.

A complete Model Context Protocol server for Subversion (SVN) integration, designed to allow AI agents to efficiently manage SVN repositories.

Enables AI agents to plan and implement work as numbered Markdown initiative files inside a git repository, coining collision-free numbers, tracking status and cross-collection dependencies, and running design-review, implement, and complete prompts. It also keeps collection READMEs current by regenerating tables, Mermaid dependency graphs, and a themes index.

Open source contribution manager — tracks PRs across repos, discovers contributable issues, diagnoses CI failures, and drafts maintainer responses. 21 MCP tools, 5 resources, 3 prompts. Ships as CLI, MCP server, and Claude Code plugin.

Deterministic, offline root-cause analysis for coding agents: find the commit that introduced a bug, and verify a fix is complete before committing.

Enables AI assistants to interact with Gitea repositories through intelligent tools for issue/PR management, workflow analysis, compliance checking, and content generation, plus 200+ CLI commands for complete CRUD operations.

First gitlab mcp for you, building together

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.

Enables comprehensive Git and GitHub operations through 30 DevOps tools including repository management, file operations, workflows, and advanced Git features. Provides complete Git functionality without external dependencies for seamless integration with Gitea and GitHub platforms.

Provides automated Git workflow tools for committing, creating pull requests, and merging with proper GitHub authentication handling. Supports complete Git workflows from commit to merge with dry run capabilities and conventional commit formatting.

A comprehensive server that provides AI-powered GitHub project management with task generation from requirements and complete traceability from business requirements to implementation.

Enables autonomous Jira-to-PR workflows in Claude Code by fetching context from Jira, GitHub, Notion, and Slack, building structured prompts, and handling branch pushes, PR creation, CI polling, and task completion.

Enables users to assess a GitHub repository's star-growth phase and get a calibrated, transparent projection of whether it will reach a specified star target by a deadline.

A Model Context Protocol server that fetches public GitHub repository statistics.

Full-coverage GitLab MCP server with 44 tools across 18 resource types. Agent-optimized CQRS design — one tool call handles complete multi-step operations. Supports OAuth 2.1, read-only mode, stdio/SSE/StreamableHTTP transports, and GraphQL-native work items with full hierarchy (epics,issues,etc)

Tracks the complete lineage and DNA of every line of code, enabling impact analysis, bug risk prediction, and code archaeology through deterministic analysis of git history and AST.

Read-only MCP server for querying official dental professional registry data from the Regional Council of Dentistry of Maranhão, Brazil. Enables natural-language lookups via a single consult tool.

Enables coding agents to receive and act on voice-captured tasks delivered as GitHub issues, including retrieving full context, adding notes, asking the developer questions, and closing tasks when complete.

Enables AI clients to submit complete Git workflows—such as staging, committing, branching, pushing, and creating pull requests—for human review and whole-command approval before execution, then receive the recorded outcome.