"Information about computer filesystems" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Your own cloud computer run by an AI agent: signed-in browser, its own email, files, long jobs.
Read GPU instances, types, images, filesystems and firewall rules; launch and terminate instances.
The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.
The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.
A persistent Linux computer for your AI: what it installs and writes survives the session.
Hosted MCP for Celesto cloud computers. Create, start/stop, exec, publish ports, and delete hardware-isolated sandboxes over OAuth.
- LatheOAuthcomputer.lathe
Managed Postgres, Redis, CouchDB and NATS on a dedicated EU machine, one flat price.
Ask about AWS, Azure, GCP, OpenAI, Anthropic and Snowflake costs, budgets, and anomalies.
