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Official AWS Labs MCP server for AWS Billing and Cost Management that lets AI assistants analyze costs and usage, monitor budgets and anomalies, and surface Cost Optimizer, Savings Plans, and Reserved Instance recommendations.

Vercel Labs' official Agent Skills collection for AI coding agents working on Vercel deployments, React and Next.js performance, React Native, web design guidelines, writing guidelines, composition patterns, view transitions, CLI token workflows, and Vercel optimization audits.

Hosted AdAdvisor MCP server with curated Meta Ads workflows for browsing creatives, launching campaigns, building audiences, and optimizing performance from Claude via streamable HTTP.

Analyze passive income opportunities using live US Treasury rates, an AI-powered yield optimizer, and portfolio return calculator — no auth, no install, connect by URL

Python framework from Stanford NLP for programming language-model systems with signatures, modules, tools, metrics, and optimizers instead of hand-written prompts.

BittleBits hosted MCP server for Generative Engine Optimization with get_score and get_rewrite tools to measure and improve AI search visibility via OAuth.

MCP server for context-window optimization that routes large tool outputs through sandbox tools, indexes session state, and helps agents retrieve only the context they need.

Official AWS Labs MCP server for Amazon EKS that gives AI code assistants real-time cluster state visibility and Kubernetes/EKS resource management, from cluster setup through deployment, troubleshooting, and optimization.

Official AWS Labs MCP server for Amazon Location Service that gives AI assistants place search, geocoding, reverse geocoding, nearby and open-now search, and route calculation with waypoint optimization.

Apache-2.0 library for pretrained diffusion model pipelines, schedulers, adapters, optimization, and training workflows for image, video, and audio generation in PyTorch.

Open-source semantic cache for LLM applications that stores and reuses model responses through embedding similarity to cut API cost and latency, with modular embedding, vector-store, cache-storage, and eviction components.

Token-efficient MCP server for source-code exploration that indexes codebases with tree-sitter, then lets agents retrieve symbols, file outlines, dependency context, blast radius, dead code, PR risk, and targeted source snippets instead of reading whole files.