"Assistance with Java development" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Verified GPU compute for Blender rendering with signed receipts and proof.
AI infrastructure design agent. Describe your app in plain English; Riley designs, prices, and deploys AWS or GCP infrastructure with generated Terraform.
Read-only AWS cost analysis: find idle and underutilized resources, with evidence.
Debug, build, and manage Power Automate cloud flows with AI agents
Your AI builds real hosted websites: describe it, get a live site with SSL, forms, analytics. Free.
Publish the website you built with AI to a live public URL — straight from chat, no setup.
Deploy HTML from any agent: POST markup, get a live URL. Static hosting API with MCP tools.
MCP commerce surface for refurbished datacenter hardware, with x402 agent-payment discovery.
Video generation cost estimates across providers, with provenance, freshness, and confidence.
MCP server: solver auction across io.net / Akash / Render with signed receipts · Hive Civilization
Unlock the power of DNS lookups with our DNS Lookup service using Google DNS-over-HTTPS. Whether
TitanStore provides AI agents with programmatic access to compute credits, API keys, cloud storage, and GPU capacity. Search products, manage cart, and complete purchases in a single agentic workflow. No authentication required.
EU-native PaaS for AI agents — deploy web apps with one sentence, managed Postgres, GDPR by default.
Read-only Mac mini AI operator setup offer with queue, pricing, and buyer-route tools.
Interact with your Google Bigtable resources using natural language commands.
The Telnyx MCP server is an official implementation of the Model Context Protocol that enables AI clients (like Claude Desktop, Cursor, and OpenAI Agents) to interact with Telnyx's telephony, messaging, and AI assistant APIs. It provides comprehensive capabilities including making and managing phone calls, sending SMS/MMS messages, purchasing and configuring phone numbers, creating AI assistants with custom instructions, managing cloud storage buckets, scraping and embedding website content, and handling integration secrets. The server exists as both a local implementation and a remotely hosted version, allowing developers to integrate real-world communication infrastructure directly into AI applications.
Interact with your Google Cloud Datastream resources using natural language commands.
MCP Gateway: wrap any MCP server with cold-start retries, uptime SLA, and per-execution MPP billing.
Interact with your Google Cloud Firestore resources using natural language commands.
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.
