"Interactive Network Graph Visualization Tools" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
The agent-native cloud: database, functions, AI, storage, computers. 50 tools, one API key.
No-KYC crypto VPS AI agents rent & run over MCP — 57 tools, pay USDC/USDT on Base/Eth/Polygon/Solana
Deploy HTML from any agent: POST markup, get a live URL. Static hosting API with MCP tools.
Deploy and manage Edge Network cloud: sites, VMs, storage, DNS, Shield, Assist. Agent self-signup.
Execution graph of AWS: verified contracts, least-privilege IAM policies, pre-flight authorization.
Read-only Mac mini AI operator setup offer with queue, pricing, and buyer-route tools.
Cloudflare Workers MCP server: interactive-api-playground
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.
Provides tools to manage Memorystore for Valkey instances and backups.
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.
The cloud for agents. Tools for AI agents to register, build, and deploy other agents. Zero human required.
Contabo API (v1.0.0) as MCP tools for cloud provisioning, and management. Powered by HAPI MCP server
Build personal interactive apps with real URLs and persistent storage, using any AI.
- ZopnightOAuthdev.zop.api
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
- PuterOAuthcom.puter.mcp
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.
Official Sevalla MCP — full PaaS API access through just 2 tools.
Protocol-native energy infrastructure orchestration for AI data centers. Provides 46 MCP tools across 8 grid protocols (IEC-61850, DNP3, Modbus, OCPP, OpenADR, IEEE 2030.5, IEC 60870-5-104, ICCP) with 5 core API primitives: connect, dispatch, settle, comply, and intel. Enables AI agents to programmatically interact with substations, grid interfaces, and energy assets for real-time workload-grid coordination.
- Onvibe.runOAuthrun.onvibe
Talk to your LLM and get a live web app deployed to a real URL.** onvibe.run is a conversational PaaS: you describe the app you want, the LLM builds it through MCP tools, and it ships to a public URL like `https://your-project.onvibe.run` — no dashboards, no config files, no manual deploys.
Publish a single HTML file as a live HTTPS site in seconds. Tools: list_sites, create_site, get_site_html, deploy_site, get_deploy_history. Deliberately has no delete tool, so an agent cannot destroy the user's work; every deploy is versioned and restorable. Useful for turning AI-generated HTML (artifacts, canvases, reports, dashboards) into a shareable URL.
