"Automated WeChat public account posting 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 or dist/ to a live HTTPS URL. No account. Drop, MCP, or CLI.
Publish the website you built with AI to a live public URL — straight from chat, no setup.
Docker Hub MCP — wraps the Docker Hub v2 API (free, no auth required for public data)
Deploy HTML from any agent: POST markup, get a live URL. Static hosting API with MCP tools.
Deploy a live web app from one sentence. build_app + poll to a public HTTPS URL you own.
Your Supabase account in natural language: run SQL, apply migrations, manage tables, storage, edge f
Google Cloud Billing BigQuery export reporting through a user-connected service account.
Publish one HTML file, get a live installable app URL. No account, no review, no queue.
Read-only Mac mini AI operator setup offer with queue, pricing, and buyer-route tools.
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
Official Sevalla MCP — full PaaS API access through just 2 tools.
Create hosted MCP servers from any OpenAPI spec. Requires a free Kaiva Bridge account.
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
