"How to Create Workflows in n8n" matching MCP servers:

Enables git-based version control for n8n workflows with automatic credential remapping, allowing AI tools to pull, push, and manage workflows across environments.

A deterministic MCP server that reimplements ai-git-fish workflows (aicommit, aibranch, aipr) with Leantime integration, enabling Claude Code and Codex to perform git operations and manage tickets without an internal LLM.

Enables AI assistants to query, create, update, and propose changes to Infrahub infrastructure data through the Model Context Protocol, with branch isolation and human approval for changes.

Audits coding agents' claimed actions against the actual Git working tree, blocking completion if any claimed changes are unverified.

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

Enables LLMs to create animated, narrated tours of GitHub pull requests, with a local browser viewer showing diffs and code highlights while speaking the narration aloud.

An MCP server that enforces disciplined Git workflows by planning coding tasks into small, test-gated commits, ensuring tests pass before staging and preventing out-of-scope or oversized changes.

MCP Server providing AI agents with tooling for Gerrit code review workflows via stdio transport.

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.

Guides AI agents through open-source contribution workflows, from finding issues to submitting PRs, while keeping decision-making and coding with the human contributor.

Enables AI assistants to create conventional Git commits, update changelogs, and optionally push changes to remote repositories.

Enables Claude to create, manage, and clean up git worktrees automatically, including dependency installation and GitHub PR creation.

An MCP server that enables AI assistants to read, create, and manage issues, repositories, and releases on Gitea, Forgejo, or Codeberg instances via personal access tokens.

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.

Bridges Linear issue tracking and GitHub repository management with ARC naming conventions, enabling composite workflows like creating a Linear issue and GitHub branch in one step.

MCP server for Google Jules enabling LLMs to create coding sessions with automatic pull request creation from issues or custom prompts.

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

Enables LLM applications to interact with Google's Jules AI coding assistant to manage repositories, coding sessions, and pull requests. It allows users to programmatically create tasks, approve plans, and communicate with the assistant during active coding sessions.

MCP server for managing GitHub wiki pages programmatically, enabling create, read, update, delete, and list operations via git cloning and pushing.