MCP Servers for Google Cloud Storage

Google Cloud Storage is a RESTful online file storage web service for storing and accessing data on Google Cloud Platform infrastructure.

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  • Why this server?

    Optionally stores generated images in Google Cloud Storage when running in SSE mode, allowing the server to be deployed for third-party usage over HTTP.

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    An MCP Server that integrates with Stability AI's API to provide high-quality image generation, editing, and manipulation capabilities including background removal, outpainting, search-and-replace, and upscaling.
    13
    30
    50
    TypeScript
    MIT License
    • Apple
  • Why this server?

    Enables listing files, reading file contents, and retrieving metadata from Google Cloud Storage through the OpenDAL interface.

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    A Model Context Protocol server that provides seamless access to multiple storage services including S3, Azure Blob Storage, and Google Cloud Storage through Apache OpenDAL™.
    3
    27
    Python
    Apache 2.0
  • Why this server?

    Allows reading and querying Parquet files stored in Google Cloud Storage buckets

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    A Model Context Protocol server that provides tools for interacting with databases, including PostgreSQL, DuckDB, and Google Cloud Storage Parquet files.
    TypeScript
    • Linux
    • Apple
  • Why this server?

    Integration in development for interacting with Google Cloud Storage services.

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    A Model Context Protocol server that connects to Google Cloud services, allowing users to query logs, interact with Spanner databases, and analyze Cloud Monitoring metrics through natural language interaction.
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    TypeScript
  • Why this server?

    Handles image storage for training data, maintains predefined bucket paths for uploads, and stores compiled pipeline artifacts for Stable Diffusion fine-tuning jobs.