"Scraping Public Documents" matching MCP servers:

Indexes local documents (PDF, Word, Markdown, text) into a SQLite database for AI agents to search and retrieve bounded, source-located passages. Runs fully locally with optional OCR, preserving privacy.

Enables agents to perform full-text search and read Hermes Agent documentation offline from a local cache, without scraping the site.

An MCP server that runs Apify scraping actors with quality-gated validation, scoring, and retries, returning embedding-ready chunks for AI agents.

MCP server providing tools for web scraping, browser automation, computer vision, audio transcription, and RAG via API.

A Model Context Protocol (MCP) server implementation that integrates with FireCrawl for advanced web scraping capabilities.

Enables semantic search and discovery of free public APIs from an extensive catalog. Provides embedding-based search over API names and descriptions, plus detailed API information retrieval.

Ingests pdf and epub documents for LLM-retrieval (RAG)

A local document evidence layer for MCP clients that ingests documents (PDF, Office, images) with optional OCR, indexes them in SQLite FTS, and provides retrieval tools with source coordinates.

Enables retrieval and cleaning of official documentation content for popular AI/Python libraries (uv, langchain, openai, llama-index) through web scraping and LLM-powered content extraction. Uses Serper API for search and Groq API to clean HTML into readable text with source attribution.

Enables local semantic search over PDF, DOCX, PPTX, and EPUB documents by converting them to Markdown, indexing them in ChromaDB, and retrieving complete structure-aware sections with tables and equations.

A Model Context Protocol server that enables AI assistants to perform advanced web scraping, crawling, searching, and data extraction through the Firecrawl API.

A local web scraping MCP server with RAG capabilities that provides intelligent web search, content extraction, and screenshot tools without requiring API keys.

A Model Context Protocol server enabling AI assistants to scrape web content with high accuracy and flexibility, supporting multiple scraping modes and content formatting options.

A comprehensive Model Context Protocol server for content summarization that supports web scraping, file reading, content summarization, and topic-based summarization features.

A Model Context Protocol server that enables Claude to interact with Telegram channels and groups through both direct API access and web scraping methods.

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

An MCP server with RAG capabilities that provides AI clients secure access to local notes, documents, web pages, and task management tools for developer operational tasks. Features file operations, web scraping with content cleaning, and personal knowledge corpus search functionality.

Interact with WebScraping.AI API for web data extraction and scraping

Access to many public datasets right from your LLM application.

Bee by HEOSSI is a governed MCP server exposing 14 tools for specialist intelligence, code, security, research, provenance, usage, tenant-scoped documents and memory, and Quantum Reasoning Lab workflows. Hosted calls are authenticated, plan- and policy-gated, and metered.