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Why this server?
This server connects to Google Cloud services, allowing users to query logs, interact with Spanner databases, and analyze Cloud Monitoring metrics through natural language interaction.
Why this server?
This server, hosted on Google Cloud Run, enables team collaboration by providing authenticated access via Google Cloud IAM, allowing teams to share custom MCP servers over the internet.
Why this server?
This server utilizes Google Cloud's Vertex AI Gemini models, supporting web search grounding and direct knowledge answering for coding assistance and general queries.
Why this server?
This server allows AI assistants to generate and transform high-quality images from text prompts using Google's Gemini model.
Why this server?
While focused on AWS Cognito, this server showcases how to integrate authentication and user management services, which are common in cloud environments like Google Cloud.
Why this server?
While not directly Google Cloud related, this server showcases some Google Cloud services functionalities by enabling the creation of financial charts, formatting, and template management.
Why this server?
This server helps novice developers deploy web applications through conversational interfaces, bridging the gap between LLMs and various hosting environments, which can include Google Cloud.
Why this server?
This server allows querying Google Cloud Logging using natural language, translating queries into Google Cloud Logging Query Language (LQL) with Vertex AI Gemini 2.5.
Why this server?
This server enables AI assistants to interact with Google Cloud Platform resources including Compute Engine, Cloud Run, Storage, BigQuery, and other GCP services.
Why this server?
This MCP enables image generation via Google's Gemini model. Though not a core Google Cloud service it demonstrates using Google's AI models.