"Oracle Fusion Cloud API Documentation and Resources" matching MCP servers:

Multi-model fusion analysis tool that sends queries to multiple AI models in parallel and returns structured analysis from a judge model.

Enables MCP clients to call OpenRouter Fusion, which queries a panel of models in parallel and synthesizes a single answer using a judge model, useful for research and critical decisions.

Replicates OpenRouter Fusion on local Claude CLI. Fans out multiple claude -p calls with diverse analytical lenses, then judges and synthesizes the results for improved answers.

Enables MCP clients to run multi-model deliberation (Fusion) via background jobs, using a panel of models and a judge to synthesize high-quality answers.

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 LLMs to reconstruct parametric Fusion 360 models from mesh (STL/3MF) or photo inputs by analyzing geometry and creating editable features via a Fusion 360 add-in bridge.

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.

Exposes a multi-model council (panel-judge-synthesizer) and a build/check loop as MCP tools, enabling Claude Code or any MCP client to perform structured multi-model analysis and synthesis locally.

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.

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 AI agents and MCP clients to combine and rerank results from multiple search or retrieval sources using Reciprocal Rank Fusion and hybrid rank fusion scoring. It exposes deterministic fusion and reranking execution over MCP with structured JSON output.

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 document Q&A with grounded citations using the official Gemini File Search API. Upload documents, create stores, and ask questions that return exact passage citations.

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.