Daisy

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Daisy is an MCP (Model Context Protocol) server purpose-built for Google Cloud Datastore, offering a straightforward interface for data interaction. It empowers users to efficiently manage and query their Datastore by providing essential functionalities such as listing available entity kinds, retrieving specific entities by their keys, and performing flexible queries with pagination. Users can also apply simple equality filters on any field, including key fields, and count entities with or without specified filter conditions. This tool streamlines the integration of Google Cloud Datastore into applications and systems that leverage the MCP standard for data access and manipulation.

Características Principales

• List all available entity kinds in Datastore
• Filter entities by field equality, including key fields
• Count entities with optional field-based filtering
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• Retrieve specific entities by key (name or ID)
• Query entities with pagination (limit and offset)

Casos de Uso

• Integrating Google Cloud Datastore into MCP-compatible applications or services.
• Programmatically performing basic CRUD (Create, Read, Update, Delete) operations on Datastore entities.
• Building custom tools or dashboards that require structured access to Datastore data via a standardized protocol.