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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.

View all MCP Servers

  • 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.

    Stability AI MCP Server

    tadasant
    A
    security
    A
    license
    A
    quality
    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.
    Last updated -
    13
    35
    55
    TypeScript
    MIT License
    • Apple

  • Why this server?

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

    MCP Server for Apache OpenDAL™

    Xuanwo
    A
    security
    A
    license
    A
    quality
    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™.
    Last updated -
    3
    27
    Python
    Apache 2.0

  • Why this server?

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

    MCP Database Server

    dwarvesf
    -
    security
    F
    license
    -
    quality
    A Model Context Protocol server that provides tools for interacting with databases, including PostgreSQL, DuckDB, and Google Cloud Storage Parquet files.
    Last updated -
    2
    TypeScript
    • Linux
    • Apple

  • Why this server?

    Integration in development for interacting with Google Cloud Storage services.

    Google Cloud MCP Server

    krzko
    -
    security
    F
    license
    -
    quality
    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.
    Last updated -
    16
    2
    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.