"Generating Application System Architecture Schemes" matching MCP servers:

Enables multi-agent research with web search and analysis, accessible via VS Code Copilot tools.

Enables coding agents to independently verify web changes by scanning pages, inspecting UI structure, generating Playwright reproductions, and executing tests with structured QA evidence.

Enables SEO auditing and site analysis by crawling websites, identifying issues, and generating reports like sitemaps and markdown exports.

Enables evidence-grounded web design analysis by searching GDWEB references and generating isolated, per-reference DESIGN_INDEX specification documents for LLM-driven frontend development.

Enables tailoring resumes to job descriptions by scraping JDs, applying rules, and generating optimized DOCX resumes.

Enables autonomous task execution by dynamically searching APIs, generating Python tools, and running them on-demand, with built-in web search, scraping, and file operations.

Automates job outreach by finding companies, discovering contacts, generating personalized emails with AI, and tracking campaigns.

Enables to interact with hh.ru (a Russian job platform) through browser automation, allowing users to search for jobs, manage resumes, apply to vacancies with cover letters, and track application statuses via natural language.

Enables searching YC Work at a Startup jobs, reading job and company details, inspecting application requirements, and submitting applications with dry-run safety while tracking weekly quotas and login status.

Captures screenshots of web pages using Puppeteer, allowing AI agents to visually verify web applications and see their progress when generating web apps.

LinkAgent is a Python MCP server that extracts structured data from any website via Chrome DevTools Protocol. It features a plugin architecture with LinkedIn-specific extractors for feed, profiles, companies, jobs, and search, plus a Chrome extension bridge for authenticated browsing.

A Model Context Protocol server that enables generating and managing Robot Framework test automation with SeleniumLibrary, including test case generation, page object models, and advanced web testing capabilities.

Provides a complete end-to-end MCP server implementation with file system tools, web scraping capabilities, and system information access. Includes ready-to-use configuration files and integration examples for Claude Desktop, ChatGPT, and other AI models.

Provides MCP tools for searching Tbilisi new-build listings, retrieving price histories, listing districts, generating diff reports, and managing tracked sources with periodic refresh.

A lean MCP server for Firecrawl with lazy-loading tool architecture, reducing context consumption by exposing only 5 base tools by default and enabling 23 advanced tools on demand via tool_enable.

An MCP server that enables AI-assisted job search workflows including job discovery, application tracking, resume evaluation, and cover letter generation, with support for multiple job sources and scheduled scraping.

Mercado Livre MCP Server: A Model Context Protocol (MCP) server for interacting with the Mercado Livre. Provides tools for fetching product data, such as prices and availability, with a layered architecture and data validation using Zod

Enables searching for AI/ML internships and entry-level positions across multiple job sites including LinkedIn, Indeed, Glassdoor, ZipRecruiter, and Monster. Automatically filters for Python proficiency and relevant AI/ML skills while providing structured job data with application URLs and detailed requirements.

Provides secure file system, web fetching, and Google Cloud Storage access for AI IDEs.

Enables AI assistants to interact with the Nimble REST API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.