"How to find people on Facebook" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Provision, SSH into, run commands on, and manage Linux VPSes from an AI agent. Pay USDC over x402 (Base) or by card over HTTP 402, a running box in under 60s. No signup, no API key to buy. This remote endpoint offers free browse/discovery, quotes, and server status.
No-KYC crypto VPS AI agents rent & run over MCP — 57 tools, pay USDC/USDT on Base/Eth/Polygon/Solana
Hosting for AI agents: your AI client deploys Docker apps to live HTTPS URLs over MCP.
Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.
Kubernetes kind token, manifest discarded
Vagrant config block count, body discarded
Packer source block count, body discarded
Helm chart.yaml name shape, body discarded
OCI image reference shape, name discarded
Compose service count, body discarded
Container image tag charset, name discarded
Zero-Ops deploy of a private AI workspace to your own VPS — from your AI chat. Free and open-source.
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.
Agent-native cloud, EU-hosted. Provision VMs, networks & databases on redu.cloud via MCP.
Deploy applications to Cloud Run
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.
3D print farm management for AI. Monitor, queue, and control prints on your SimplyPrint account.
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.
