"Information about Oracle Cloud services" matching MCP servers:

Classifies development task complexity (LIGHT/MEDIUM/HEAVY) and recommends the most cost-efficient AI model per provider, enabling optimized model selection for coding tasks.

Enables Codex to delegate tasks to ChatGPT through a browser-backed Oracle connection, with project memory and a verified-result cache. It supports preview, delegation, result polling, and explicit acceptance without an API fallback.

Provides real-time LLM pricing and availability data as an MCP server, enabling AI agents to make optimal model routing decisions at inference time with cited pricing sources.

Provides current weather information for any location and generates AI-powered responses using Google Gemini through FastMCP.

MCP server exposing AIMarket's verifiable oracle capabilities (Platon VRF, Chronos VDF, LUMEN reputation) as agent-callable tools with pay-per-call.

On-chain TCG price oracle for the LitecoinVM ecosystem. 6 tools: search 433K+ trading cards, 60-day price history, Merkle proof verification on LiteForge (Chain 4441), Monte Carlo simulation, and AI card grading via Qwen 2.5 VL.

Open-source AWS security scanner with Attack Chains, Breach Cost Estimation, and MCP Server. 47 checks across 15 AWS services. Every finding includes copy-paste remediation (CLI + Terraform) and a dollar-risk estimate with verified source. First free standalone AWS security MCP server - Prowler and Wiz require paid SaaS.

The agent-native cloud: provision Postgres-compatible databases, deploy services and functions in isolated microVMs, manage storage, auth and AI inference, and read logs and billing — 50 tools behind one API key. Hosted remote server; this repository carries the connection docs.

Generates, validates, and manages Cloud Custodian policies across AWS, GCP, and Azure using natural language prompts.

Multi-cloud MCP server that exposes cloud AI models as tools for AI CLI agents, supporting streaming, conversation history, parallel multi-model queries, and dynamic model discovery.

Enables MCP-compatible AI clients to retrieve FinOps-aligned knowledge and runbooks on demand, covering cloud cost optimization across AWS, Azure, GCP, and OCI, AI inference economics, Kubernetes, data platforms, allocation, chargeback, anomaly management, and waste detection.

Enables AI assistants and MCP clients to launch and manage Cursor Cloud Agents on repositories or without one, select models, follow up mid-run, retrieve or cancel results, and check usage and cost.

Enables AI agents to query Lambda Cloud GPU pricing, live capacity, and instance details, and optionally launch, restart, or terminate instances with a hard hourly price cap.

A hosted Model Context Protocol server that connects AI agents to a project-scoped growth workspace, exposing tools for project knowledge, analytics, research, planning, media generation, drama intelligence, and skill sync.

Enables access to cloud spot, on-demand, reserved, GPU rental, LLM token, and capacity pricing data with daily index fixings, using free tools and paid per-call payments over x402 or prepaid keys.

Exposes multiple LLM providers (AWS Bedrock, OpenAI, Google Gemini, local Ollama) as MCP tools with automatic routing by task type and Prometheus metrics, enabling any MCP-compatible client to generate text, route prompts, and list providers.

Enables AI agents to discover, pay for, and invoke x402-priced services such as document OCR, document analysis, media transcription, remote browser sessions, and receive-only email inboxes using USDC on Base, with no API keys and receipt-backed results.

An MCP server deployed on Cloud Run that enables reading Cloud Storage and leveraging Vertex AI models via natural language.

Modular monolithic FastAPI shared AI service platform providing config center, prompt registry, LLM gateway, RAG service, secret manager, tool registry, and MCP server wrapper.

DCL Trust Oracle is a deterministic AI audit layer, natively integrated with MCP, that evaluates LLM and agent outputs against configurable policies before and after action. Every verdict is written to a tamper-evident, hash-chained audit log storing only cryptographic metadata — never raw content — enabling privacy-first forensic review.