An MCP server that integrates with Google Cloud Platform services, providing tools for interacting with Compute Engine, Cloud Storage, Cloud Functions, Cloud Run, BigQuery, and more via official libraries and robust error handling. Exemplifies a cloud-focused MCP server implementation.
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An MCP server for operating resources on Alibaba Cloud, supporting ECS, Cloud Monitor, OOS, and other common Alibaba Cloud products via the MCP protocol.
A community MCP Server for AWS Lambda that enables serverless cost tracking and automation of Lambda functions from within the MCP ecosystem.
An MCP server for interacting with Google Cloud Tasks queues and tasks using natural language, allowing management and handling of tasks via Claude Desktop. Illustrates the use of MCP servers for cloud task automation.
An implementation of the Model Context Protocol (MCP) server that enables AI models to communicate with Edge Security Acceleration (ESA) services, managing routines, deployments, and other resources through standardized protocols.
An MCP server facilitating interaction between large language models (LLMs) and the Heroku Platform, enabling automation and management through MCP endpoints. Directly relevant as an MCP server.
A Model Context Protocol server for managing Hetzner Cloud resources, including servers, volumes, firewalls, and SSH keys through structured MCP functions. Directly relevant as an MCP server.
Category: Cloud DevOps MCP Servers
Tags: google-cloud, cloud, mcp, automation, integration
Gcp Mcp is a Model Context Protocol (MCP) server that integrates with Google Cloud Platform services. It enables AI assistants, such as Claude, to interact with your GCP environment, allowing for natural language querying and management of GCP resources during conversations. The server uses official Google Cloud libraries and robust error handling, exemplifying a cloud-focused MCP server implementation.
No pricing information is provided. The project is open source (MIT license).