"Information about Oracle Cloud services" matching MCP connectors:

Integration Infrastructure Agents Actually Control

Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. IP-first and free; a custom domain with HTTPS is an optional later step.

SaaS intelligence for AI agents. 5 unified tools cover 1,000+ services with 91-96% token savings.

Self-hosted MCP gateway: turn any API, database or MCP server into AI connectors — no code.

Usage metering + SLA accounting for agent services (the meter behind x402 micropayments).

Discover x402 services, MCP servers and A2A agents by intent — agent-tools.cloud directory.

Ed25519-signed ground-truth oracle — 63 paid x402 tools live on Base mainnet.

Third-party signed reads of how an AI agent behaved: drift, vows, and the town it works in.

Pay-per-call x402 gateway: agent tools, OpenAI-compatible LLM, market data, RPC, security audits.

Discover agent services and buy IssueFoundry's fractional-cent x402 reliability utilities.

Hosted AgentLux MCP server for marketplace, identity, creator, services, and social flows.

Stripe-native marketplace where AI agents discover and pay per call for API services.

Agent-payable web data over x402: 18 keyless services an agent pays per call.

AI service marketplace — agents discover, call, and pay for API services automatically.

Persistent cloud memory for AI agents. Store and search key-value memories across sessions.

Agent-to-agent marketplace MCP server. Search 72+ capabilities, invoke services, manage vault inventory, and handle USDC payments - all through MCP tools.

The Remote MCP server acts as a standardized bridge between LLM applications (like Claude, ChatGPT, and Cursor) and external services, enabling AI agents to access external tools and resources. Its primary capability is providing a centralized search tool to discover other MCP servers and their respective tools. Unlike local implementations, it runs remotely with OAuth authentication and permission controls for security.

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.

Universal AI API Orchestrator — 1,554 tools, 96 services. One install.

The cloud for agents. Tools for AI agents to register, build, and deploy other agents. Zero human required.