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  • F
    license
    A
    quality
    C
    maintenance
    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.
    9
    -
  • A
    license
    A
    quality
    B
    maintenance
    A local MCP server that provides a safe, explicit set of Git operations for version control tasks like status, diff, branching, staging, committing, fetching, merging, and pushing.
    13
    18
    MIT
  • F
    license
    A
    quality
    C
    maintenance
    This MCP server analyzes Git reflog and object data to provide recovery signals after accidental resets or deletions, helping assess whether lost commits or branches may still be recoverable without exposing sensitive details.
    3
    -
  • F
    license
    A
    quality
    C
    maintenance
    An MCP server that gives AI agents safe, non-interactive Git history editing — squashing, rewording, and reflog rescue — without ever hanging on a Vim buffer.
    4
    -
  • F
    license
    A
    quality
    D
    maintenance
    Enables natural language code search across multiple local Git repositories, allowing users to register projects, search for code, and explore file structures through Claude.
    6
    -
  • A
    license
    A
    quality
    C
    maintenance
    Enables detection and resolution of Git merge conflicts in repositories through MCP, providing tools to identify conflicting files and assist with conflict resolution workflows.
    5
    12
    5
    AGPL 3.0
  • A
    license
    A
    quality
    D
    maintenance
    Dynamic QR code platform for AI agents. Create, customize, and track QR codes without regenerating images. 37 tools covering 11 QR types (URL, vCard, WiFi, event…).
    37
    2
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables secure command-line interactions on Windows systems with support for PowerShell, CMD, Git Bash, and WSL shells, providing controlled file access, command execution, and configurable security restrictions.
    6
    36
    4
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    MCP server exposing Windows desktop UI Automation as tools for AI agents, enabling automated interaction with Windows applications via Appium.
    87
    0
    1
    Apache 2.0
  • A
    license
    A
    quality
    C
    maintenance
    A Model Context Protocol server that enables Large Language Models to interact with Git repositories through a robust API, supporting operations like repository initialization, cloning, file staging, committing, and branch management.
    28
    4,376
    239
    Apache 2.0
  • -
    license
    A
    quality
    Not graded
    maintenance
    Provides comprehensive Git operations as tools for AI assistants and applications. This server enables AI systems to interact with Git repositories, allowing to initialize, fetch, commit, log, status, etc..
    10
    2
    1
    -
  • A
    license
    A
    quality
    F
    maintenance
    A secure Model Context Protocol server that allows AI models to safely interact with Windows command-line functionality, enabling controlled execution of system commands, project creation, and system information retrieval.
    8
    10
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    A comprehensive Model Context Protocol server that enables AI assistants to interact with and manage Windows systems, providing capabilities for file system operations, process management, system information retrieval, registry operations, service management, network diagnostics, and performance monitoring.
    7
    19
    5
    Apache 2.0
  • A
    license
    B
    quality
    D
    maintenance
    A modular MCP server that provides a unified interface for interacting with GitHub and GitLab, including enterprise and self-hosted instances. It enables comprehensive management of repositories, issues, pull requests, and CI/CD pipelines through natural language.
    23
    53
    MIT