"Guide to Trading Solana on MEXC" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Confidential VMs (Intel TDX) by the hour, paid in USDC over x402: live plans, prices, how to buy.
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.
Hosting for AI agents: your AI client deploys Docker apps to live HTTPS URLs over MCP.
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.
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Provides read access to your GKE and Kubernetes resources.
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Deploy applications to Cloud Run
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.
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Agent-native cloud, EU-hosted. Provision VMs, networks & databases on redu.cloud via MCP.
3D print farm management for AI. Monitor, queue, and control prints on your SimplyPrint account.
Docker Hub MCP — wraps the Docker Hub v2 API (free, no auth required for public data)
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.
Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.
Official remote MCP server for Buddy. Lets AI coding agents manage Buddy workspaces end to end: create and run sandbox VMs and execute commands in them, build, run and approve pipelines and read their logs, run commands on deployment targets, host apps and distributions, manage Git repositories, branches and commits, environments, artifacts, and search, buy or claim domains. Authentication via OAuth or personal access token.
Run, build, and validate firmware on virtual hardware from your AI agent. Hardware knowledge corpus.
Validates AI infra code on real VMs. Self-corrects until it works. No containers, no sandboxes.
Deploy and manage web apps on InstaPods: create pods, push files, run commands, read logs.
Deploy sims to any screen. Control your displays with Claude.
Deploy containers on Kubernetes with x402 billing. 9 workload types and source builds.
A paid remote MCP for HyperFrames, built to return verdicts, receipts, usage logs, and audit-ready J
Deploy sims to any screen. Control your displays with Claude.
