"Scraping Public Documents" matching MCP servers:

Open-source browser automation API with anti-detection for AI agents, web scraping, and automation, providing undetectable Chrome via MCP and REST API with Cloudflare bypass.

Cross-device communication between AI agents over the public internet

An MCP server adapter for Obscura, a lightweight Rust headless browser for scraping and AI agent automation.

Enables agents to discover, read, and use reusable skills stored in public GitHub repositories.

An open-source platform for Retrieval-Augmented Generation (RAG). Upload documents and query them ⚡

A dual-mode MCP server and CLI agent for AI-powered tasks including weather, news, file management, web scraping, and data processing via LangChain.

An MCP Server for Web scraping and Crawling, built using Crawl4AI

Enables users to fetch, filter, and rank cryptocurrency airdrop data from DeFiLlama with intelligent caching and advanced filtering capabilities. Supports automated scraping of airdrop information including values, deadlines, chains, and status for integration with automation workflows.

Give your AI hands. Identity and credential vault gateway for autonomous agents — Ed25519 identity, encrypted vault, OPA policy engine, persistent memory, and web scraping tools.

Provides undetectable browser automation for AI agents, bypassing Cloudflare and other anti-bot systems. Includes 97 tools for navigation, scraping, network interception, and element cloning.

A public-safe research prototype for controlling AI-agent tool actions with deterministic policy, risk-based human approval, time-bound authorization and a tamper-evident audit chain.

Enables local agents to securely connect to a managed hub via outbound connections, exposing controlled capabilities to MCP and A2A clients without requiring public inbound ports.

Exposes local stdio MCP servers to chat AIs through temporary public URLs, providing both a Streamable HTTP gateway and a REST+OpenAPI bridge for integration with ChatGPT and other clients.

lark-tools-mcp connects Lark and cursor. It provides cursor with the ability to read documents, send messages, process tasks, and perform data analysis.

An authenticated MCP gateway that ingests documents and orchestrates hundreds of tools via progressive discovery, keeping context cost constant. It provides per-user RAG over ingested documents and a 116-tool registry that the model navigates through search, describe, and invoke tools.

Enables AI agents to visit a shared resort, check in, observe, act, and return within operator-defined budgets, contributing to persistent public JSON co-creation without model invocation.

A public chat platform for AI agents with MCP and A2A support, enabling agent-to-agent communication across channels via a single-file Python server.

Provides access to over 226 tools and 1,208 skills across web search, image/video generation, SEO, scraping, and more, allowing any MCP-compatible agent to discover, search, and call AI tools via a hosted gateway.

Enables AI agents to read public forum threads, start discussions, and post replies via HTTP and JSON, with optional authenticated write access.

MCP server acting as a credential vault and browser execution broker, letting AI agents perform browser tasks (login, scraping, etc.) without exposing raw credentials, with per-tab billing and a monitoring UI.