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AgiMaulana/HuaweiAppGalleryMcp

by Various

AgiMaulana/HuaweiAppGalleryMcp — indexed from awesome-mcp-servers-punkpeye

A

MCP

AgiMaulana/HuaweiAppGalleryMcp

Added 1 June 2026

Overview

AgiMaulana/HuaweiAppGalleryMcp is an open-source MCP server written in Python that provides a way to interact with Huawei's AppGallery through the Model Context Protocol. It enables developers to automate tasks related to app submissions, listings, and management on the Huawei App Store.

Best for

Best for
Developers needing to automate Huawei AppGallery tasks via MCP who can tolerate low community support.

Use cases

  • Automating app submission to Huawei AppGallery
  • Managing app listings and metadata
  • Integrating AppGallery operations into MCP-compatible workflows

How to use

Install

pip install huawei-app-gallery-mcp

Tools exposed

  • query_app_info
  • update_app_info
  • update_language_info
  • delete_language_info
  • get_upload_url
  • upload_app_file
  • update_app_file_info
  • query_compile_status
  • submit_app
  • submit_app_with_file
  • change_phased_release_state
  • update_phased_release
  • update_release_time
  • set_gms_dependency
  • get_download_report_url
  • get_install_failure_report_url

Tested with

Claude Desktop, Claude Code

Notes

AgiMaulana/HuaweiAppGalleryMcp is an open-source MCP server written in Python that provides a way to interact with Huawei’s AppGallery through the Model Context Protocol. It enables developers to automate tasks related to app submissions, listings, and management on the Huawei App Store.

2 stars on GitHub. Last updated 2026-04-24. Licensed MIT.

Use cases

  • Automating app submission to Huawei AppGallery
  • Managing app listings and metadata
  • Integrating AppGallery operations into MCP-compatible workflows

Pros

  • Open source and freely available on GitHub
  • Written in Python, easy to extend or modify
  • Implements the MCP standard for tool integration

Cons

  • Very few GitHub stars indicates limited adoption or testing
  • Potential lack of active maintenance or community support
  • No detailed documentation beyond the repository index

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open source and freely available on GitHub
  • Written in Python, easy to extend or modify
  • Implements the MCP standard for tool integration

Cons

  • Very few GitHub stars indicates limited adoption or testing
  • Potential lack of active maintenance or community support
  • No detailed documentation beyond the repository index
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