"Understanding Structured Thinking" matching MCP servers:

Provides dual-perspective analysis through alternating actor (creator/performer) and critic (analyzer/evaluator) viewpoints, generating comprehensive performance evaluations with balanced, actionable feedback.

Enables connecting an existing Liftaven workspace to search and analytics tools, providing an SEO workspace for understanding search performance and improving your website.

Competitive intelligence for AI agents — analyze any URL or company description and get structured JSON with positioning, pain points, competitors, and unique market angles. Payments via x402 protocol ($0.05 USDC on Base mainnet), no accounts required.

Audits a live site for machine legibility (structured data, llms.txt, titles, headings), matches a trade to one of 14 website templates with demo links, and quotes real prices. Remote Streamable HTTP on MCP spec 2026-07-28, with an eval suite in the repo.

MCP server exposing a "run" tool that checks a live site's SEO and generative-engine optimization: 21 technical checks returned as structured JSON.

Enables users to interrogate ChatGPT, Perplexity, and Gemini with buyer questions and live web search to learn whether a business is recommended, ranked, competing with others, and having its website cited. Returns structured findings and estimated provider costs.

Detects a company's technology stack from its public web presence. Returns structured tech signals for sales targeting and competitive analysis.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Provides AI agents with structured short-form content mechanics including hooks, script structures, retention strategies, and CTAs, along with auditing tools to avoid common posting failures.

Lets an MCP client check whether an ecommerce store can be read by AI assistants, auditing robots.txt to see which AI search versus training crawlers are blocked and sampling product pages to confirm structured data and facts survive in raw HTML without JavaScript. It can also generate a training-only opt-out robots.txt that leaves answer-engine crawlers allowed, all inside the conversation the user is already in.

Enables MCP clients to access public TikTok profiles, videos, comments, and keyword search as structured JSON over streamable HTTP, without a TikTok developer account or OAuth.

An MCP server that gives AI assistants structured access to App Store Connect data. Built for ASO analysis, download tracking, and performance monitoring.

An MCP server that gives AI agents tools to inspect a website's visibility to AI answer engines, including crawler permissions, llms.txt, structured data, on-page signals, and a full 29-check AI-readiness audit.

Provides deterministic design style recommendations and structured tokens for AI content generation, with 30 curated styles including color palettes, typography, and visual directives.

Exposes the OctoBoost SEO API as MCP tools so agents can audit websites with compact, structured results instead of fetching and parsing raw HTML.

Provides AI assistants with structured, read-only information about Noto CRM, including pricing, features, AI agent capabilities, competitor comparisons, and use cases, with bilingual French/English responses and no external dependencies.

Enables MCP clients to perform live Google searches and retrieve structured SERP data including organic results, AI Overviews, People Also Ask, AI Mode answers, news, shopping, and short-video results via eight read-only tools.

Enables Bing searches with geo, market, and language targeting, returning organic results, ad blocks, and Copilot answers as structured JSON to any MCP client.

A local-first Model Context Protocol server that provides LLM agents with structured access to e-commerce data (products, inventory, orders, sales analytics) using a realistic mock dataset, zero configuration, and a swappable DataProvider interface for live APIs.

Enables running Simulatte's 26 research SKUs (concept testing, pricing, etc.) from any MCP-compatible AI client, returning structured JSON results.