"A platform for competitor analysis in QR-based restaurant management systems" matching MCP servers:

AI-powered competitor analysis agent that scrapes product pages and extracts structured data using LLMs, integrated via MCP for use with Claude Desktop and other clients.

Generates QR code PNG images from text or URLs with customizable options like size, color, and error correction level.

A permission-aware MCP server for restaurant backend operations, enabling role-based access to menus, orders, sales, and drafting specials with a human approval workflow.

MCP server for Spice Garden demo restaurant that enables querying orders, inventory, tables, and sales data from a SQLite database, with an optional OpenRouter-powered chat assistant.

Provides systems thinking models as composable analysis lenses for architecture, infrastructure, DevOps, incident analysis, and technical decision-making.

Enables MCP-compatible AI assistants to analyze restaurant menu economics from CSV data, including food-cost percentages, contribution margins, gross sales, ingredient costs, and item rankings. It can flag loss-making items and periods with no sales.

An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.

A production-grade MCP server that provides tools to fetch historical stock data, company information, and technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) via yfinance, and includes a Flask web dashboard for visual analysis.

Enables monitoring competitor websites for price drops, new products, promotions, and content changes directly from Claude or any MCP-compatible AI client.

A local multimodal recognition workbench that uses your Edge/Chrome session to access DeepSeek Web, exposing MCP tools for recognizing images, documents, audio, and video with privacy-preserving temporary processing.

A local, read-only MCP server (plus CLI) over your own stock/ETF transaction log. A deterministic core computes drawdown-first risk with bootstrap confidence intervals and validates targets with walk-forward verdicts. The assistant narrates, but the number fence makes it structurally impossible for the model to produce a figure.

Enables competitor content analysis by scraping pages, extracting keywords, identifying content gaps, comparing headings, scoring readability and quality, checking SERP features, and clustering competitors.

Enables AI agents to manage live Firefox tabs and native tab groups via MCP tools over stdio, with exact-match verification and safety constraints. It does not read page content or send browser data remotely.

Enables users to search, check availability, and book restaurant reservations across Resy and OpenTable platforms. It supports direct booking for Resy and includes an automated reservation 'sniper' for securing high-demand slots the moment they become available.

Enables an LLM agent to search and filter California restaurants by cuisine, city or neighborhood, vibe, maximum price, and minimum rating, fetch full details and customer reviews for individual restaurants, and retrieve an overview of available cities, cuisines, and vibes through MCP tools and resources.

Runs a local, file-based toolkit of 100 systems engineering skills that lets an AI assistant clean and map requirements, review specifications against ECSS, derive sub-requirements, check interfaces and budgets, and build verification and compliance matrices. It works on documents in a user-chosen local folder without sending customer data to a remote service or requiring an account or API key.

Enables the generation of QR codes in PNG, SVG, Base64, and ASCII formats via Model Context Protocol clients. Users can save codes directly to local files or display them as terminal-friendly art through natural language commands.

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

Demonstrates agent-native platform onboarding with human-in-the-loop API key provisioning, plus live usage and rate-limit queries via Anthropic Admin APIs.

Enables Codex to rank available tools and skills, rerank code and documentation search results, and triage saved output artifacts using Jev-based relevance scoring while leaving final decisions to Codex.

Lets an AI assistant read and write business records in plain language, including looking up people, creating and updating tasks, logging time, and pulling utilization reports through a synthetic ops platform or an optional ClickUp adapter.

MCP server wrapping a mock internal ops platform (FastAPI + SQLite) so Claude Code can read and write employee, project, task, and time data through natural language.

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

Enables AI agents and MCP clients to drive real Chrome, Edge, Brave, and Firefox browsers through native automation protocols. It exposes tools for navigation, page snapshots, form filling, clicks, screenshots, console/network inspection, and tab management.

MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.

A fashion vertical MCP server providing tools for product SEO audits and trend analysis to integrate with AI agents like Claude, Cursor, and Codex.

Enables MCP clients to open websites, capture screenshots at multiple breakpoints, and run automated design audits for issues like overflow, small tap targets, low contrast, missing alt text, tiny text, and clipped content.

An MCP relay that adds a use_jev tool to every connected server, letting the Jev model autonomously select and execute tool calls while the calling model supplies any required text values. It enables agents to delegate multi-step tool use across all configured MCP servers through a single unified interface.

FastMCP server for image analysis providing OCR, metadata, and EXIF extraction.

Records and scores prospective equity earnings predictions made by AI agents, allowing comparison of different agent configurations.