"A guide to creating 3D models in Blender" matching MCP servers:

An MCP server that enables AI agents to retrieve detailed GitHub Pull Request information using git commit hashes, branch names, or PR numbers. It automatically detects repositories and extracts comprehensive PR data including descriptions, labels, and reviews via the GitHub CLI.

A modular monolith MCP server connecting multiple providers (Redash, PostgreSQL, GitHub) with unified permission, security, and auditing, enabling secure data access and tool execution.

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Lets AI agents turn a repository's git history into proposed GitHub issues grouped into units of work, each with a commit checklist and links, then create and close them only after approval. Planning is read-only and creation defaults to a dry run, skipping anything that already exists.

Converts Jenkins declarative pipelines into GitHub Actions workflow YAML files, facilitating migration from Jenkins to GitHub Actions CI/CD.

A read-only MCP server for the Bitbucket Cloud REST API v2.0 that enables AI assistants to browse workspaces, repositories, and review pull requests.

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.

An MCP server that automates the backup of Cloudflare projects to a GitHub repository, providing a systematic way to preserve Cloudflare configurations and assets.

Provides a read-only MCP bridge that lets Claude Web inspect workspace files, git state, and recorded test results while Codex remains the sole executor of changes.

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.

A custom MCP server that lets AI assistants interact with GitHub accounts, offering tools for repository creation, file viewing, code search, and issue management.

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

Enables MCP-compatible AI clients to connect to a Windows machine for file operations, PowerShell execution, Git inspection, task management, memory, and skills.

Enables phone-issued approve/commit/push/pull commands to control an AI coding agent's git actions by bridging GitHub webhooks and MCP tool calls.

Serves the review notes left at lines of a diff in seam, a terminal diff viewer, to an agent with the code around them. The agent answers each note, and the answer shows in seam at that line.

Enables AI coding agents to persist structured long-term memory (gotchas, architecture, API notes) in a .context folder and sync across devices and agents via Git.

Provides MCP tools to get a single-call snapshot of git and GitHub Actions CI status across all repositories in a folder, flag missing or stale architecture docs, write doc files, and detect release drift between source and release repositories.

Self-hosted collaborative LaTeX editor with a built-in MCP server. Claude reads and edits project files, typesets with latexmk, gets errors with file and line, and sees the PDF; every edit is a git commit.

An MCP server for creating, validating, and formatting Git commits with emojis following the conventional commit standard.

A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, allowing users to query work items with plans to support creating/updating items, managing pipelines, handling pull requests, and administering sprints and branch policies.

Enables MCP clients to delegate routine coding tasks to a local model in isolated git worktrees, using test results as a gate and the client as the reviewer before changes are merged.

Enables AI agents to safely read, search, and inspect a local git repository, including PR-style diffs and changed-file summaries. It also supports opt-in allowlisted test runs.

MCP server for creating, versioning, retrieving, and publishing HTML presentations, using git as the source of truth and Google Apps Script for deployment.

An MCP server that validates and formats git commit messages according to the Udacity Git Commit Message Style Guide.

An MCP server that enables AI assistants to interact with GitHub via a fine-grained personal access token — pushing commits, managing branches, opening and merging PRs, creating issues, and reading repositories. It runs locally with no telemetry and supports a read-only mode.

Quilt gives every AI agent line-level authorship in a shared Git checkout, so multiple agents work in one repo, and each commits only its own lines, with symbol-level claims that block collisions before any bytes change.

Enables detection and resolution of Git merge conflicts in repositories through MCP, providing tools to identify conflicting files and assist with conflict resolution workflows.

Local MCP server for safe GitHub developer workflows. Enables pulling main, creating feature branches, pushing them, and opening ready-for-review pull requests via tools like github_create_feature_branch and github_create_pull_request.