"AWS Secrets Manager" matching MCP servers:

Enables creating AWS cost estimates through natural language, generating shareable calculator.aws links, and retrieving actual calculated costs via headless Chrome, without requiring AWS credentials.

An MCP server that lets AI assistants look up any advertiser's Google ads. Search by domain or company name, retrieve ad creatives, and decode text ad content from Google's Ads Transparency Center.

Enables AI agents to automate browsers locally through validated declarative scripts that perform Playwright actions, extraction, and assertions, while optional bounded decisions use configured inference providers without exposing page state or secrets.

Enables AI agents to manage bookmarks (webpages, articles, videos) on behalf of users, including registration, categorization, tagging, and sharing.

Lets any MCP-speaking AI agent drive your everyday Chrome browser, opening pages, reading them, clicking, typing, taking screenshots, and inspecting DevTools console, network, storage and performance data with your existing sign-ins. Risky actions like submitting or paying require your explicit approval, and agents are confined to their own tab group with secrets hidden.

Enables AI assistants to create, list, update, pause, resume, and delete topic or web page monitors, and to manage webhook delivery and signing secrets. It connects through a hosted Streamable HTTP endpoint using API key or OAuth authentication.

Enables AI assistants to audit and analyze LinkedIn Campaign Manager accounts, campaigns, targeting, creatives, performance, and audience demographics without requiring a LinkedIn Developer App.

Connects MCP clients like Claude to your Mealie recipe manager, enabling natural language search, creation, import, and updates of recipes.

Connects AI agents to your existing daily-driver Chrome so they can inspect, extract from, record, and replay workflows across background tabs without stealing cursor focus, breaking 2FA/SSO sessions, or leaking secrets. A deterministic R0–R4 risk firewall gates state-changing and destructive actions behind human approval.

Credential vault for LLM agents that stores credentials encrypted and exposes MCP tools for authenticated HTTP requests, web scraping, and credential management, preventing AI assistants from seeing secrets.

A production-ready suite of Model Context Protocol servers enabling AI agents to access AWS resources, perform SQLite database operations, and scrape web pages through natural language.

Enables users to discover applicant tracking system job boards from company domains, list open roles, detect hiring changes over time, and generate hiring summaries across multiple ATS platforms.

Searches LinkedIn, Indeed, USAJobs, and Google Jobs from the command line, deduplicates across sources, and optionally finds hiring manager emails; also runs as an MCP server for AI agents.

Automates ATS resume scanning via Jobscan, enabling AI to iteratively scan, analyze gaps, optimize, and rescan resumes against job descriptions to improve match rates.

A self-hosted RSS reader MCP server that manages RSS subscriptions and fetches live feed content, deployable on AWS.

Fetches web pages and converts them to clean, readable markdown format by extracting main content while removing navigation, ads, and other non-essential elements to minimize token usage.

Enables comprehensive browser automation and control through Playwright, including launching browsers, managing tabs, web navigation, element interaction, and screenshot capture. Supports detecting and controlling external browsers with remote debugging capabilities.

A comprehensive operations platform providing browser automation, web search/crawling, database operations, deployment tools, secrets management, and analytics capabilities for full-stack software engineering workflows. Features AI-driven automation, real-time monitoring dashboard, and cross-platform service management.

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.

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