"A tool for performing Git actions" matching MCP servers:

Enables AI models to perform comprehensive Git repository management including cloning, file operations, branching, committing, and pushing changes via a secure FastMCP interface. It features built-in workspace isolation and rigorous input validation to ensure production-ready repository control.

Fetches the latest version numbers for popular GitHub Actions from simonw/actions-latest, allowing users to easily check and update workflow versions.

Enables general-purpose Windows desktop automation via MCP tools: opening applications and URLs, taking screenshots, checking whether processes are running, and waiting.

Scans GitHub Actions workflow files for dangerous triggers, template injection, unpinned actions, excessive permissions, and secrets in shell commands before they are committed, exposing the checks as MCP tools for agents.

Connects AI assistants to GitHub Actions workflows to monitor CI/CD pipelines, view run logs, diagnose failures, and optionally trigger or manage workflows with granular permission controls.

Manages isolated Git worktrees for each ZCode thread, enabling safe parallel development with automatic setup, snapshot-based removal, PR review, and background agent orchestration.

Enables searching and retrieving Japan Fair Trade Commission exclusion orders and recommendations by company, legal provision, or date, with source URLs and no determination of violations.

Analyzes GitHub Actions workflows and performance, helping identify bottlenecks, failures, and optimization opportunities in CI/CD pipelines.

Secure local MCP server for SendPilot Lead Database searches and workspace read operations. Exposes tools for creating searches, checking status/results, credits, and campaigns without sending messages or modifying campaigns.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

Audits GitHub Actions workflow files for supply-chain risks like script injection, leaked tokens, unpinned actions, and broad permissions.

Enables AI agents to intelligently organize Git changes into clean, focused commits with autopilot mode or surgical line-by-line staging precision. Supports partial staging of untracked files and handles large diffs with smart truncation.

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.

A Model Context Protocol server that provides a scratchpad tool for LLMs to organize thoughts, take notes, and plan approaches to complex problems.

Extract structured action items from meeting transcripts and notes using the actions.xyz API

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

Automates creating Pull Requests (GitHub) and Merge Requests (GitLab) using git CLI, repository templates, and LLM-assisted content generation from your diff and commit logs.

Enables managing GitHub Actions workflows through MCP, including listing and inspecting workflows, triggering workflow_dispatch and repository_dispatch events, and monitoring or canceling workflow runs.

MCP server for GitHub Actions — view workflow runs, read logs, re-run failed jobs, and manage CI/CD.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.