"Web scraping and content extraction" matching MCP servers:

Enables MCP-capable agents to perform local web research under a declared plan with session budgets, user-approved limit extensions, and guardrails for safe searching, page fetching, content extraction, and audit logging.

Enables Claude to fetch web pages from the user's own local network connection instead of AI datacenter IPs, including optional authenticated sessions, with verdicts for bot challenges, login walls, and other failures.

Enables Codex to send text tasks to ChatGPT web, await responses, continue conversations, choose reasoning effort, and manage projects through MCP tools on macOS.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Enables ChatGPT web to use local tools like file reading, command execution, and patch application through an MCP server over OpenAI Secure MCP Tunnel.

A zero-dependency MCP server that turns any web page into an AI-playable interface, running even on Windows 7.

An MCP bridge that exposes DeepSeek Harness (DSH) web UI's cordis RPC API as stdio tools, enabling any MCP client to manage workspaces, create/resume sessions, send messages, and fetch session stats.

Enables AI agents to drive a logged-in ChatGPT web session over CDP, including managing projects and chats, sending messages with file attachments, and retrieving long Pro replies.

An unofficial MCP server that lets MCP clients like Codex operate the ChatGPT web interface through a persistent browser, enabling prompt writing, file uploads, message sending, and reading complete responses without using the ChatGPT API.

A local Python WebSocket bridge and browser extension that securely connects web AI chats to local Model Context Protocol (MCP) servers. It enables web-based AIs to execute local tools with granular permission controls, providing the same powerful tool and system access typically exclusive to desktop agent harnesses like DeepSeek Harness, Claude Code, Codex and more.

Enables web search for the pi coding agent using z.ai GLM native search with a DuckDuckGo fallback.

Enables AI agents to control a real browser via MCP tools for web navigation, interaction, page inspection, tabs, forms, files, sessions, and browser automation.

Enables MCP-capable AI harnesses to interact with DeepSeek Web using an authenticated browser session, supporting prompts, deep think, search, image recognition, file attachments, and local SKILL.md injection.

Bridges a selected browser tab's native WebMCP tools to remote MCP clients through a self-hosted Cloudflare Worker, enabling tool discovery and invocation with session-scoped authentication and per-page trust controls.

Pluggable local agent capability hub that gives web-based DeepSeek local Agent capabilities (MCP/file operations/skills/desktop automation) and lets local agents reuse the same tools.

An MCP server for automated interaction with Gemini's web interface using Playwright and LangGraph, enabling task execution, deep research, file uploads, chat management, and dynamic selector verification via MCP tools.

Enables MCP clients that lack built-in search — such as Claude Code through Bedrock or local LLM clients — to run web queries against Amazon's operated search index via a Gateway deployed in your own AWS account, with queries never leaving AWS and citation URLs preserved. Supports IAM/SigV4, Cognito, and API key authentication, per-gateway rate limits, IP and domain restrictions, and result filtering by domain and publication date.

Enables AI agents to interact with any website at sub-second speeds by replaying cached JSON/GraphQL API routes, auto-discovering endpoints through CDP network sniffing, and falling back to token-efficient Markdown or accessibility-tree extraction. It also syncs local Chrome session cookies to bypass login walls and keeps responses under 1,000 tokens.

Whatsapp-Web MCP

MCP server enabling Cursor to delegate complex coding tasks to ChatGPT Web (GPT-5.6 Sol High) via Temporary Chats, supporting parallel batch reviews and up to five concurrent sessions.

Enables Codex to use an authenticated ChatGPT Web session as a reasoning and coding backend through isolated browser sessions, without granting ChatGPT direct workspace access.

Enables Claude Code to browse and import conversations from a user's claude.ai account, making mobile chat history available in the editor. Includes tools to list, read, and save web conversations locally.

Enables MCP clients like Codex to operate chatgpt.com through a dedicated persistent browser profile, allowing chat creation, project management, prompt submission, file uploads, and response reading without using the ChatGPT API.

Enables LLMs to discover and invoke generated API actions as MCP tools and read context through MCP resources for list and get-by-id operations. It provides HTTP-based MCP access for clients such as Cursor and Claude without extra glue code.

Enables AI agents to delegate simple text subtasks such as summarising, translating, classifying, extracting, and reformatting to free web AIs through the user's own Edge/Chrome browser, returning only plain-text answers to save the main model's context and tokens.

A Model Context Protocol server that allows LLMs to interact with web content through standardized tools, currently supporting web scraping functionality.

A server that enables browser-based local LLM inference using Playwright to automate interactions with @mlc-ai/web-llm, supporting text generation, chat sessions, model switching, and status monitoring.

Enables coding agents to drive a real Playwright-backed browser session, navigating, observing, interacting, and capturing proof on web pages via MCP tools across stdio and Streamable HTTP transports.

A Model Context Protocol server that enables Claude to perform advanced web research with intelligent search queuing, enhanced content extraction, and deep research capabilities.

Worker that turns any URL into agent-callable MCP tools, plus a Chrome extension, open-source adapters, and SDKs. On top of that sits an independent A–F trust graph for the whole MCP ecosystem