A Model Context Protocol (MCP) server for programmatic creation, modification, and compilation of structured LaTeX documents. Enables AI agents and automated workflows to generate reports, articles, and papers from templates, with secure, structured content updates and robust PDF compilation using LuaLaTeX and Biber.

A Model Context Protocol (MCP) server for programmatic creation, modification, and compilation of structured LaTeX documents. Enables AI agents and automated workflows to generate reports, articles, and papers from templates, with secure, structured conte

MCP server for structured ideation — generating, scoring, and storing software ideas

MCP server for structured NPC dialogue generation. One tool call, instant game-ready dialogue.

Glyphic is an open source diagram engine that lets AI agents generate production-quality diagrams from structured JSON, without SVG, Mermaid, or a browser.

AutoDoc is an MCP server of type stdio that automatically analyzes Git commits and generates structured daily CSV reports.

MCP server for structured NPC dialogue, world-building, and content generation. 6 tools: NPC dialogue, factions, locations, items, lore bibles, articles.

High-fidelity Sketch-to-code for AI agents. Generate structured Vue, React, HTML, native assets, and implementation specs via MCP, CLI, and plugins.

Deterministic scaffolding for LLM agents. Templates generate files, structured hints tell the agent what to do next. Built-in MCP server for Claude Code and Cursor.

MCP server for AI image generation & editing with Google Gemini. Structured JSON editing for precise control. Powered by Nano Banana.

AI-powered rule automation system for RooCode. Automates rule generation, enforcement, and code enhancement by connecting RooCode with an AI-driven MCP that analyzes context, applies structured rules, and improves code quality intelligently.

MCP server for structured ideation — generating, scoring, deduplicating, and storing software ideas

A modern TypeScript MCP server that gives LLM agents first-class access to the entire UI Lab workflow. From project creation to feature generation, it delivers deterministic, structured, and reliable automation for UI engineering.

MCP server for AI image generation and editing with Google Gemini. Create web assets, ad creatives, and brand visuals with structured JSON editing for precise control. Powered by Nano Banana.

MCP server for CanvasKeep - generate Excalidraw diagrams from structured graphs

ViewGraph is a developer super assistant that captures live web pages as structured, agent-ready UI context, combining layout, DOM-like structure, selectors, styles, spatial relationships, screenshots, and metadata to help coding agents generate tests, audit interfaces, compare changes, and build faster.

A LangGraph-powered agent that generates A/B copy variants for marketing campaigns (email, SMS, landing pages) using distinct persuasion angles. Features structured LLM outputs, validation with retries, Postgres checkpointing for state persistence, and an MCP server for tool-based integration. Built as a foundation for human-in-the-loop review.

An MCP server that integrates with FHIR R4 EHR systems to generate structured, clinical-grade patient handoff briefs using Groq's LLaMA 3.3 70B.

Read/write MCP server for Intervals.icu — training data, planning, and structured workout generation.

A generic MCP server for Obsidian vaults. Connect any vault (or multiple vaults) to AI agents without imposing folder structure, frontmatter schema, or governance policies. Each vault defines its own agent instructions.

🚀 Powerful flexible project scaffolding tool - supports Git repositories and local directory templates, one-click generation of React/Vue/Node.js project structures, integrated AI assistant calling capabilities, and bilingual internationalization support

An MCP server for Claude Desktop that scrapes e-commerce product pages and category links to generate structured presentation payloads, product comparisons, and market insights.

AI-powered MCP server for Claude Desktop that automates structured children's book generation through workflow orchestration and persistent state management.

A Model Context Protocol (MCP) server for performing deep web research using Tavily Search and Crawl APIs, preparing structured data for LLM-powered documentation generation.

Give your AI superpowers for bug bounty hunting. MCP server that turns Claude Code into a structured bug bounty toolkit — recon, live testing, intelligence, and report generation.

A modular narrative engineering system that uses neurochemical pacing, Jungian depth psychology, structural paradigm selection, and automated pathology diagnostics to produce fiction that resists the default failure modes of AI-generated prose.

Visual CLI for agents. Generate deterministic SVG diagrams, charts, and tables with embedded structured metadata. Zero JavaScript. Renders anywhere markdown does.

MCP server and CLI for Agent Blueprint client teams (API token issued with an engagement). Free, no-sign-in tools are at https://agentblueprint.ai/mcp and https://agentblueprint.ai/personal. Create structured business profiles, generate pipeline artifacts

MCP server for structured company-news and market-signal veille workflows on the Perplexity Sonar API — complements Perplexity's official MCP server rather than duplicating its generic search.

A multi-agent AI system that audits any codebase and generates a styled health report (PDF). Built with LangGraph, MCP, and Gemini — three specialized agents scan structure, review code, and write the report.

三菱 PLC 编程与工程助手。 MCP server and AI workbench for Mitsubishi PLC programming with GX Works2. Generate Ladder and Structured Text, edit native FBD, and review versioned projects with CPU-aware RAG and diagnostics.

The most powerful MCP Server for Metabase - 134 tools with structured output, AI-powered SQL generation, dashboard automation, user management & enterprise BI. MCP SDK v1.26.0 compliant. Works with Claude, Cursor, and any MCP-compatible AI.

Perform comprehensive web research by combining AI-powered search and deep content crawling to gather extensive, up-to-date information on any topic. Aggregate and structure research data into detailed JSON outputs optimized for generating high-quality markdown documentation with LLMs. Customize documentation prompts and output paths to fit your workflow and save research results securely.

Frame Check MCP server: deterministic structural framing analysis for AI-generated documents, with default-on frame-divergence block per FRAME_DIVERGENCE_CONTRACT_v1 c1.0. MCP surface delegates V4.2 judgment to the caller's agent model; zero Frame Check LLM cost per query.

Lightweight code indexing and semantic search engine that helps AI agents write code faster while using fewer tokens. Parses codebases with Tree-sitter AST to generate structured headers, with optional LLM insights and vector embeddings. Integrates via MCP server or CLI. Supports TypeScript, JavaScript, C#

Pdf Merge Ai Mcp: merge info (Plan a PDF merge operation. Provide file descriptions as JSO); split info (Plan a PDF split operation. Split spec examples: 'every 5' (); get metadata (Extract or generate PDF metadata. Provide either base64-enco); validate pdf (Validate PDF structure from base64-encoded header bytes. Che). pip install pdf-merge-ai-mcp.

Enterprise Executive Briefing & Strategic Memo Deliverable Synthesizer (inspired by Tencent WorkBuddy Goal-to-Document Workflows). Transforms raw multi-source enterprise findings into comprehensive, structured executive briefings with auto-generated executive summaries, risk registers, decision matrices, and appendix citations.

Autonomous Agentic Post-Purchase Tracking & Delivery Dispute Arbiter (inspired by Meta Muse, Shopify, Walmart, Instacart Post-Checkout Operations). Ingests carrier webhook events, tracks transit anomalies (stalled shipments, delivery failures), calculates compensation eligibility, and generates structured merchant claim payloads.

Shiplogue is an open-source, local-first developer tool that turns your coding activity into clear daily stand-ups. It captures work from your IDE, Git, GitHub, and AI coding agents to generate structured standups—so you spend less time writing status reports and more time building.

Self-hosted MCP server running multi-step Claude agent pipelines: ingest artifacts into reusable knowledge bases, generate structured documents (SOW/BRD/HLD) and configs (JSON/YAML/XML), write SDK integration code from API docs, automate workflows on API-less websites via browser, and execute live API sequences from specs.

SAP ABAP MCP is a local-first Model Context Protocol server that enables AI coding agents to develop, test, analyze, and operate SAP ABAP systems through the official ABAP Development Tools HTTP services. It supports repository search and source editing, structured DDIC workflows, enhancement inspection, paged package navigation, source-backed object creation, semantic services, activation, ABAP Unit and ATC, transports, abapGit, RAP generation, debugging, bounded class and executable-program profiling, runtime dumps, traces and feeds, cross-system comparison, dependency analysis, guarded refactoring, and an opt-in same-origin Screen/GUI Status bridge. Curated compact, development, and assurance presets reduce tool-schema token use without removing capabilities from the default surface. The default local stdio mode can be extended with governed self-hosted Streamable HTTP, API-key roles, OIDC/JWT authentication, request-scoped SAP bearer forwarding, per-session isolation, rate limits, structured audit logs, or a side-effect-free embeddable Node.js API. It also includes browser OAuth Authorization Code with PKCE, a read-only transport assurance CLI and GitHub Action, BTP service-key profile import, and live-SAP evidence tooling. SAP profiles and credentials remain on the user's computer, with passwords and OAuth credentials protected by macOS Keychain or Windows DPAPI. SAP-dependent capabilities are validated against the user's own SAP release, configuration, and authorizations.

# Fashion E-Commerce Intelligence MCP Server Empower your AI agents, copilots, and assistants with vertical domain-specific fashion intelligence. Built by [alexgenovese.com](https://alexgenovese.com), this Model Context Protocol (MCP) server provides automated **SEO auditing, category trend research, DTC demand forecasting, CRM segment enrichment, and campaign creative generation**—designed natively for Cursor, Claude Desktop, Claude Code, and any MCP-compatible environment. --- ## ⚡ What It Does | Capability | Without this server | With Fashion MCP | |---|---|---| | **SEO Auditing** | Manual checklists, generic advice | Automated **0-100 score** across 5 dimensions with fashion-specific validation (fit, material, color, season, schema, OG, Twitter Cards). | | **Trend Research** | Generic search queries | Deep category-level trend intelligence (trending keywords, colors, silhouettes, price tiers, market fit, confidence). | | **Demand Forecasting** | Spreadsheets & gut feel | Explainable weighted-rule forecast model: `baseline × trend × media × retention × inventory × seasonality` with backtesting. | | **CRM Segment Enrichment** | Static email lists | Customer segments enriched with trending colors/silhouettes/keywords, audience clusters, and ready-to-send targeted messaging. | | **Campaign Creative** | Standard copywriters per channel | Platform-specific campaign themes, hooks, value propositions, and ready-to-use creative briefs grounded in real-time trend data. | --- ## 🔧 Exposed Tools - `product_seo_audit`: Audit any fashion product listing for SEO best practices, structured schema, meta tags, and fashion relevance (fit, size, material). - `fashion_trend_analysis`: Analyze fashion trend data mapped from search engine and social media queries. *(Receives search data input seamlessly, no API key required)*. - `fashion_category_demand_outlook`: Get a rapid, light demand pulse check for a specific product category in a target market and season. - `fashion_dtc_forecast_analysis`: Generate complete DTC demand forecasts with scenario planning (base/upside/downside) and stock-out/overstock risk analysis. - `fashion_customer_trend_enrichment`: Map trending keywords, colors, and silhouettes onto existing CRM customer segments for targeted email/SMS campaigns. - `fashion_campaign_theme_recommendation`: Recommend conversion-optimized ad campaign themes, hooks, and creative briefs for Meta, Google, TikTok, or Email. --- ## 🔐 Privacy & Technical Features - **No API Keys Required:** All analysis, SEO audits, demand forecasts, and CRM enrichment tools run locally with the data you supply. Upstream search data for `fashion_trend_analysis` uses your existing Tavily MCP server. - **Explainable Outputs:** Every tool returns explicit `assumptions[]`, `dataGaps[]`, and `confidence` scores, so your agent always understands the reasoning behind recommendations. - **Zero-Config Local Cache:** Uses a local SQLite persistence layer (`~/.fashion-mcp/store.db`) to cache snapshots, feature stores, and forecast actuals for backtesting. ## 💻 Local Installation To install this stdio-based server locally via Smithery: ```bash npx smithery install alexgenovese/ecommerce-fashion-market-analysis ```

MCP server for prompt-to-JSON contracts, JSON Schema validation, and structured LLM/agent outputs.

MCP server for natural-language-to-JSON workflows using Git-controlled JSON contracts and JSON Schema validation.

Model Context Protocol (MCP) Server for Generative Engine Optimization (GEO) & RAG Readiness Audits — by Taqi Molavi

Evidence-first GEO & SEO audits for AI assistants. Five MCP tools for HTML, structured data, crawler policies, sitemaps and before/after verification. Local-first. MIT.

Four free MCP tools to check whether AI engines can find, read and recognise a website. No account, no API key, no LLM calls.

MCP server for AEO/AI-search audits of any URL (direct answer, JSON-LD, llms.txt, E-E-A-T, agentic readiness, AI citation) plus live French open data: website prices, public tenders, editorial calendar.

CTX: a tool that solves the context management gap when working with LLMs like ChatGPT or Claude. It helps developers organize and automatically collect information from their codebase into structured documents that can be easily shared with AI assistants.

MCP server for YubHub - Scrape *any* careers page. Get a structured job feed.

AI-powered Schema.org JSON-LD markup generator. 12 schema types with live preview. Web app + MCP server.

Build Adaptive Cards with MCP tools for fast, structured UI creation in TypeScript

SEO tools for AI coding assistants — audit pages, generate meta tags, and fix SEO issues from Cursor, Claude, Windsurf, and VS Code.

MCP server for extracting recipes from PDFs or jpegs into structured HTML using OCR and LLM-assisted interpretation.

MCP server for RedNote (Xiaohongshu) — analyze content, comments, and trends with structured tools for LLM workflows.

RAG Q&A + autonomous triage agent for customer feedback. Built on Gemini free tier with ChromaDB, structured JSON validation, and deterministic routing.

ESLint for AI search — audit AI crawler access, llms.txt, structured data and citability for ChatGPT, Perplexity, Claude & co.

Is this page readable for AI search? CLI + MCP server scoring crawler access, structure and citability for ChatGPT, Perplexity, Claude and Google AI. Runs locally, zero dependencies.

Markdown and LaTeX to PDF for AI agents. Self-contained TypeScript typesetting engine, diagrams, citations, structured diagnostics, and nine MCP tools. No TeX or browser.

Is this page readable for AI search? Checks crawler access, structure and citability for ChatGPT, Perplexity, Claude and Google AI. CLI and MCP server, runs entirely on your machine.