"Python context management and dependency solving in ComfyUI" matching MCP servers:

Provides live web and document intelligence, including search, company news, scraping, crawling, structured extraction, document parsing, brand intelligence, screenshots, website monitoring, and batch jobs.

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.

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.

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 Claude Code to control Firefox through tools for tabs, navigation, clicks, typing, scrolling, screenshots, page reading, forms, JavaScript, and console/network logs.

MCP server for generating AI images with local ComfyUI, featuring a reference-image-to-replication toolchain including Danbooru tag lookup, local Ollama vision, deobfuscation, and Civitai LoRA search/download.

Enables any MCP client to drive the user's real Chrome profile through a Chrome extension bridge, with tools for navigation, accessibility snapshots, ref-based interactions, console/network reading, screenshots, tab management, and restricted script evaluation.

A Python implementation of an MCP server for Xiaohongshu that enables AI models to browse feeds, search content, and manage interactions like liking or commenting. It leverages Playwright for browser automation to support account management and content publishing features.

An MCP server that provides browser automation with anti-detect fingerprinting, accessibility snapshots, and ref-based element targeting, powered by Camoufox.

Enables LLMs to automate browser tasks (navigation, clicks, text input) via Selenium through the Model Context Protocol.

Enables AI assistants to inspect React component trees, props, state, and source locations in Chrome, facilitating UI debugging and analysis.

A Model Context Protocol server that wraps RPA-Python to enable AI models to directly control browsers for web automation, supporting 54 tools for navigation, interaction, and data extraction.

Enables AI-powered LinkedIn automation, including content generation, profile and company data extraction, connection requests, and post scraping through MCP tools.

DREAM LAUNCHERS INTERIORS PRIVATE LIMITED

An MCP server that fetches web pages and extracts clean, AI-usable context from them, enabling tools for link discovery, content search, and integrated fetch-and-search operations.

An MCP server for fetching and transforming web content into various formats.

Enables browser automation and web scraping through Playwright, supporting navigation, screenshots, element interaction, form filling, JavaScript execution, and content extraction.

Enables local opencode agents to control a live Chrome browser via MCP tools, including tab management, JavaScript execution, clicking, form filling, page reading, screenshots, and console log retrieval.

Enables a person to point their own AI agent at specific on-screen app elements over MCP, letting the agent read the underlying data without sharing the screen or receiving visible content.

A read-only MCP server that gives AI agents the web as compact, ranked, verified evidence — no API keys, no cloud retrieval, all models local.

Bintu fetches a public webpage through MCP and returns cleaned text or chunks for AI-agent workflows. It is designed to reduce page clutter while preserving the source content needed for context.

Tavily MCP Server implementation that uses fastmcp and supports both sse and stdio transports. It also supports more up to date functionalities of Tavily.

An MCP server for safe web crawling and scraping of public and authenticated sites using Playwright and Crawlee. It provides tools for scraping single pages, crawling entire sites, validating sessions, and listing supported sites, with built-in security protections and adapter-based extensibility.

A Python server implementing the Model Context Protocol that exposes tools for querying external APIs, compatible with Claude Desktop and ChatGPT Desktop.

Classifies company sites as B2B or B2C and as SaaS, online store, agency, manufacturer, wholesaler, distributor, or marketplace, while matching your own buyer phrases and returning the quoted text and page as evidence. Runs deterministically on Apify, giving one row per domain with grace-free status rows for unreachable, blocked, or empty sites.

Give it a product and a country and it searches Google for manufacturers, wholesalers, and distributors, reads each candidate company's own website, and returns only the ones whose pages back up the claim, with quoted evidence, the domain, and a confidence score. Directories, marketplaces, and social networks are filtered out, and a free summary row reports how many sites were found and checked when nothing qualifies.

Enables AI coding agents to diagnose and repair Python Selenium UI automation using real evidence from live DOM and test runs, with enforced safety boundaries and verifiable fixes.

Enables crawling sites from start URLs and retrieving internal and external links, file download links, HTML tables as rows, and lists, with controls for crawl depth, page limits, sitemaps, robots.txt, and proxy mode.

Enables watching competitor Shopify, WooCommerce, and SaaS pricing and changelog pages, returning only what changed since the last run as price, stock, product, plan, and changelog diffs. Runs on Apify with per-event pricing and saved state keys for separate baselines.

Enables searching products, viewing orders, and analyzing order trends on Amazon.in via a persistent Playwright browser session.