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

Serverless document and media processing with AI chat. Upload documents, images, video, and audio — extract text with OCR or transcription — query using Amazon Bedrock.

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.

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.

An ungated reimplementation of the 'Claude in Chrome' MCP bridge that exposes 22 browser-automation tools to any MCP client, driving the official Claude Chrome extension via native messaging without requiring a claude.ai login.

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.

An MCP server that reads decrypted cookies from a running Chrome instance via the Chrome DevTools Protocol, returning them in various formats.

Exposes two tools, fetch_page and extract_from_html, so agents can retrieve web pages as markdown or plain text without ever launching a separate install step. Fetching escalates cheapest-first (HTTP requests, identity switching, JSON-LD/JS-state/AMP/feed extraction, then optional headless browser) and always returns a machine-readable reason such as captcha, login wall, or paywall when a page cannot be read.

Web search using free multi-engine search (NO API KEYS REQUIRED) — Supports Bing, Baidu, DuckDuckGo, Brave, Exa, and CSDN.

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

Exposes Amazon Nova Act web automation capabilities through the Model Context Protocol, enabling AI agents to perform browser tasks like navigation, data extraction, and form interaction.

Enables users to search the Google Ads Transparency Center for company ads, inspect ad details and variations, analyze images and videos, and compare competitor advertising strategies.

Enables searching and scraping the public Facebook Ad Library to extract structured ad data such as advertiser, copy, landing URLs, and CTAs for competitive research, all without an account or API token.

Enables MCP-compatible AI clients to extract live web content and convert it into structured Markdown for LLM ingestion, RAG pipelines, and agentic workflows.