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

Dynamic QR code platform for AI agents. Create, customize, and track QR codes without regenerating images. 37 tools covering 11 QR types (URL, vCard, WiFi, event…).

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

Generate styled QR codes, manage dynamic short links with click analytics, and publish micro-landing pages via AI agents.

Branded, scan-validated QR codes from Claude, Cursor or any MCP client: manual design, AI style from a prompt, 118 templates and Wi-Fi / vCard / geo payloads. Every render is decoded server-side before it is returned.

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.

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

Enables AI agents to generate and validate Spanish VeriFactu invoice QR URLs and tax identifiers, with official AEAT error codes and JSON consultation URL support.

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.

Competitor Monitor AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables AI agents to manage system updates, application installations, and remote host orchestration through MCP tools.

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.

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.

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.

MCP server for amazon.in — cheapest in-stock, best-value picks, and price history links.

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.

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.