"Co-op" matching MCP servers:

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MCP server for GitLab CI/CD — pipelines, jobs, schedules, branches, tags, merge requests and repository files. Works with any GitLab (SaaS gitlab.com or self-hosted) via python-gitlab.

Semantic git queries via MCP. Beyond git log — answer who/what/why about any line, file, or branch with blame, co-change, PR linkage.

MCP server for GitHub Actions CI failure triage. It wraps the gh CLI to fetch PR checks, failed jobs, and tail/grep failed job logs with ANSI/timestamp stripping and root-cause extraction.

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

Enables AI clients like ChatGPT or Codex to manage files and local Git repositories within an explicitly authorized workspace, with server-enforced path boundary checks and optional remote Git operations.

Enables an MCP-capable assistant to review GitLab merge requests, GitHub pull requests, and pre-push local branches against ticket requirements, domain rubrics, compiler/lint pre-passes, blast-radius analysis, and SonarQube findings, and to draft inline comments or follow-up tasks in the user's chosen language. Nothing reaches a remote host until a human approves the exact content in an interactive terminal.

Enables AI agents to run container forensics, generate container obituaries, and audit git repository history as native MCP tools, producing markdown reports they can reason over.

Enables safe GitHub automation by queuing write operations for admin approval before execution.

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.

MCP server that spawns autonomous Claude Code agents in GitHub repos, enabling task delegation with persistent state, multi-step workflows, and job monitoring.

Analyzes code changes using static code-graph and git co-change history to identify likely affected files, returning tiered confidence reports with evidence. Exposes tools for AI assistants to inspect current changes, static impact, historical co-change patterns, and detailed explanations.

Provides tools to analyze and debug GitHub Actions CI failures, including summarizing failures, detecting flaky tests, and suggesting fixes.

An MCP server that provides operational tooling over the GitHub API — issue triage, PR review monitoring, repo health audits, and team access reviews.

Manages parallel Git worktrees, enabling work on multiple branches simultaneously without stashing or context switching.

Enables secure, policy-controlled operations on local git repositories through MCP, including bounded reads, context-checked patches, allowlisted tasks, and guarded git operations.

MCP server that enables LLMs to search GitHub, clone repositories, and perform read-only git/GitHub operations such as listing branches, commits, issues, and pull requests.

Lets coding agents query a hosted knowledge graph of a git repository over MCP or the shell to retrieve recorded commit intent, co-change coupling, ranked blast radius, and computed architecture. Answers are drawn from the graph rather than file reads, reporting measured per-answer token savings.

Enables AI tools like Claude, Cursor, and Copilot to interact with your Rockhopper workspace, including enrolled files, version history, reviews, comments, and cell-level change tracking.

Enables management of co-authors for pair and mob programming sessions by automatically appending Co-authored-by trailers to git commit messages. It allows users to add, list, and configure team members as active co-authors using the git-mob CLI.