#optimization

Mirror of

webperfect-mcp-server

An intelligent MCP server for optimizing VS Code Memory Bank usage

Superlines connects your AI assistant to real-time analytics on how AI search engines represent your brand. As search shifts from traditional Google results to AI-generated answers, Superlines helps you understand and improve your Share of Voice in this new landscape. What you can do: - Monitor AI Search Performance - Track brand visibility, citations, and mentions across 10+ AI engines - Measure Share of Voice against competitors - Analyze sentiment of AI-generated responses about your brand - Discover Opportunities - Find content gaps where competitors outrank you - Identify high-volume queries where your brand is missing - Get prioritized action plans with improvement potential scores - Optimize Your Website - Audit pages for LLM-friendliness (technical + content) - Generate optimized Schema.org structured data - Analyze why competitor URLs are winning citations Key tools: analyze_metrics - Get comprehensive visibility, citation, and SOV data get_competitive_gap - Find prompts where competitors are winning find_content_opportunities - Discover topics with high volume but low visibility webpage_audit - Full LLM-friendliness audit for any URL generate_strategic_action_plan - Get prioritized recommendations Who it's for? Marketing teams, SEO professionals, and content strategists who need to understand and improve their brand's presence in AI-powered search. Requirements: Superlines account with API access (paid subscription)

Mirror of

Turn slow PyTorch into fast CUDA/Triton kernels. 32 parallel swarm agents optimize your code on real datacenter GPUs (B200, H200, H100, A100) with up to 14x speedup over torch.compile.

Cloudinary-MCP-Server optimizes and manages Cloudinary’s image hosting, providing efficient media storage, processing, and delivery to enhance app performance and user experience.

An MCP server that uses Redis and in-memory caching to optimize and extend context windows for large chat histories

Mathematical Optimization MCP Server with PuLP and OR-Tools support

Provides context optimization tools to extract targeted information rather than processing large files and command outputs in their entirety.

Seamlessly integrating APIs, advanced AI, and intelligent automation with Github & X, this state-of-the-art MCP framework revolutionizes server & client-side functionality. 🚀 With features like AI-powered Intelligent Notifications, it predicts critical updates and delivers custom alerts via email, ensuring smarter workflows.

Route optimization API for Brazil. Calculate driving routes, distance matrices, and optimize multi-stop deliveries with real road network data. Free tier: 50 calls/month.

Kubernetes cluster cost analysis and optimization. Query costs, find savings opportunities, get rightsizing recommendations, and analyze pod spend across AKS, EKS, and GKE directly from Claude.

Structured Decision Optimization Framework (SDOF) MCP Server - Next-generation knowledge management with 5-phase optimization workflow

IvoryOS is a Python-based unified robot control web interface, developed for user-friendly workflow design and control for Self-Driving Labs (SDLs). It works by introspecting the Python script, dynamically searching for available module and their method. The methods are available through direct function calls and stacking into workflows for later iteration. The IvoryOS MCP support all features including designing, managing workflows, and interacting with the loaded hardware/software execution layer. * paper: https://www.nature.com/articles/s41467-025-60514-w * code: https://gitlab.com/heingroup/ivoryos

Seamlessly integrating APIs, advanced AI, and intelligent automation with Github & X, this state-of-the-art MCP framework revolutionizes server & client-side functionality. 🚀 With features like AI-powered Intelligent Notifications, it predicts critical updates and delivers custom alerts via email, ensuring smarter workflows.

The batteries-included, No-Code FinOps automation platform, with the AI you trust.

AI visibility monitoring and ΑΕΟ/SEO optimization platform. Track how your brand appears in AI assistant responses (ChatGPT, Claude, Perplexity), monitor competitor visibility, generate ΑΕΟ/SEO optimized content, manage social media publishing, and analyze website performance across search engines and AI platforms. Audit and create strategy for your brand.

Token-efficient web browser for LLM agents. Extract clean markdown from any public web page — saves 90-95% of tokens compared to raw HTML.

Structural codebase MCP server that exposes symbol-level queries as tools, allowing Claude Code to navigate large codebases without reading entire files. Provides 50+ tools covering dependency graphs, git diffs, checkpoint/rollback, dead code detection, and complexity analysis, with reported 87% token reduction on large projects.

PQS is the fastest way to get better output from any AI model. Score any prompt before it hits the model. Get a grade (A-F), score out of 80, percentile, and 8-dimension breakdown across clarity, specificity, context, constraints, output format, role definition, examples, and chain-of-thought structure. Built on PEEM, RAGAS, MT-Bench, G-Eval, and ROUGE frameworks. Pre-flight, not post-hoc. The AI input quality problem is real. PQS solves it. MCP Tools: - score_prompt: Free. Returns grade (A-F), score out of 80, percentile, and full 8-dimension breakdown. No API key needed. - optimize_prompt: $0.025 USDC via x402. Returns a rewritten, higher-scoring version of your prompt with before/after dimension deltas. Requires API key from promptqualityscore.com. HTTP API (x402-native on Base): - /api/score/free: Free. Grade, percentile, and 8-dimension breakdown. No payment required. - /api/score: $0.025 USDC. Single score, pay-per-call. - /api/score/full: $0.125 USDC. Grade, percentile, dimension breakdown, and rewrite. - /api/score/batch: $0.25 USDC. Score multiple prompts in a single call. - /api/preflight: $0.05 USDC. Lightweight pre-flight quality check. Paste a prompt. Get an optimized version. Ship better work. Cheaper than one bad prompt. https://promptqualityscore.com

The MCP PostgreSQL Analytics server provides advanced analytics capabilities for PostgreSQL databases, including smart schema exploration, query optimization, index suggestions, and natural language to SQL conversion. It is designed to enhance database performance and accessibility through AI-driven tools.

Track AI productivity automatically via MCP. Measures sessions, commits, PRs, cost per deliverable, and generates ROI reports for engineering leaders. Zero latency — all tracking is async.

MCP server for Tessera's LLM cost-optimization layer. Anchored spend, drift detection, recommendations as typed tools.

At BittleBits, we build AI visibility and Generative Engine Optimization (GEO) tools that help companies optimize their content for AI systems like ChatGPT, Claude, Gemini etc. We’ve developed a proprietary AI model that analyzes how AI systems evaluate, trust, and cite content in conversational responses, helping brands improve discoverability across AI-powered search. Bittlebits has a Model Context Protocol (MCP) integration that lets you bring your GEO scores and rewrite suggestions directly into AI agents — whether you're using Claude Code in your terminal, GitHub Copilot in your IDE, or an AI web app, instead of copying content back and forth, AI can read exactly what Bittlebits recommends and help you apply those changes, including writing them directly into your codebase.