"Headroom open-notebook resources" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Hosted AIOStreams, Immich, OpenClaw, Hermes and more open-source apps: prices, trial. No account.
Connect Claude, ChatGPT or any MCP client to your turbopress hosting account. Ask in plain language how your website is doing, how much disk space is left, which invoices are open or when a domain expires. The answers come straight from your customer account, without logging into the panel. Beyond answering questions, the server can make changes for you: create mailboxes, renew SSL certificates and more. Your AI client asks for confirmation before any change, and you can revoke access at any ti
Access Zain Ahmed’s public engineering profile, project case studies, technical articles, and platform engineering resources through MCP tools and structured resources. Hosted Streamable HTTP endpoint at zainahmed.net; public retrieval requires no API key.
Find free AI, GPU and cloud credits for new accounts, students, startups and open source.
Manage your own cloud with AI: deploy apps, push and ship custom Docker images, manage resources via your AI agent.
Compare GPU specs and cloud rental offers, check CUDA support, and estimate Qdrant resources.
Give AI agents a real cloud Chrome: open sessions, navigate, read pages, click, type and screenshot.
Zero-Ops deploy of a private AI workspace to your own VPS — from your AI chat. Free and open-source.
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.
Interact with your Google Cloud Datastream resources using natural language commands.
Interact with your Google Bigtable resources using natural language commands.
Create, manage, and query your Google Cloud SQL resources.
Provides read access to your GKE and Kubernetes resources.
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
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.
Interact with your Google Cloud Firestore resources using natural language commands.
Read-only cloud cost and infrastructure governance across AWS, Azure and GCP. 85 tools covering cost overview and trends, cost by provider/resource/tag/team, budgets, resources, schedules, recommendations, tagging policies, audit logs, anomalies, Kubernetes resources and pod logs. Hosted remote server, nothing to install. Docs: https://zop.dev/learn/mcp-server?utm_source=glama&utm_medium=listing&utm_campaign=mcp-directory Claude setup: https://zop.dev/learn/how-to/set-up-zopnight-mcp-for-claude
Puter MCP lets your AI tools (Claude Code, Codex, or any other MCP-compatible client) interact with your Puter resources: managing files, publishing websites, deploying workers, and more.
Which open models fit your GPU or Mac, measured. Model momentum, GPU rental prices, weekly pick.
Generate and run high performance queries on open and private spatial data at-scale in the cloud
Interact with your Google Cloud Composer resources using natural language commands.
Deploy apps and databases, inspect logs, and manage cloud resources on Cloady.
Deploy open-source services and your own apps on Open Source Cloud (OSC, osaas.io).
Publish an app your AI agent built, then choose who can open it, like sharing a doc.
Your AI Agent's Infrastructure Layer. Connect Claude, Copilot, Codex, or ChatGPT to 200+ managed open source services. Start databases, pipelines, and applications through natural language.
Manage Rivet Cloud namespaces and actors, run Code Mode, and open the Rivet Actor Inspector.
An MCP server that provides an API to LLMs to manage their JumpCloud resources.
The OpenMesh MCP Server provides decentralized, permissionless cloud infrastructure that integrates AI assistants with Web2 and Web3 applications without middlemen. It offers intelligent service discovery to identify MCP servers, acts as a universal proxy for routing requests to discovered services, implements performance optimization through usage feedback, and provides automatic fault tolerance with alternative services when servers become unavailable.
