"Scraping Public Documents" matching MCP connectors:
Matching Connector Tools:
**ColdState Knowledge Search MCP Server** https://github.com/daniel-coldstate/coldstate-mcp Semantic search over 64.6M knowledge entries — the structured alternative to web search APIs and web scraping for LLM agents. No crawling, no rate limits, sub-3s responses. Cloud-hosted at services.coldstate.ai
Extractive legal answers and semantic search over the public wiki.private.law corpus
Real-time web search with answer-ready results for Claude, Cursor and any MCP client. A Tavily alternative: same speed, 20.2% fewer tokens, higher answer quality (60.7% of decided duels won) on a public benchmark. Hosted on mcp.serpdive.com or npx serpdive-mcp.
Turn documents into structured, AI-ready data by parsing, enriching, chunking, and embedding.
Web search, scraping, RAG answers with citations, and translation as MCP tools.
Enable language models to perform advanced AI-powered web scraping with enterprise-grade reliabili…
Direct access to 40+ scraping and search tools. Extract structured data from Google (Search, Maps, Trends), Amazon, Airbnb, Social Media, and any web page directly into your AI agent.
Search 18M+ legal documents across 110+ countries. Case law, legislation, and doctrine with semantic + keyword hybrid search. Supports tool discovery, multi-jurisdictional queries, citation resolution, and full document retrieval. Requested missing datasets can be fully indexed within 48h.
Ingest, manage, and retrieve documents for RAG-powered AI applications
AI-powered RFP response management. Search Q&A libraries, draft responses, and upload documents.
Provides metadata information to AI agents through the search API.
The CustomGPT.ai MCP server is a fully managed, RAG-powered endpoint that connects large language models with private knowledge bases and external data sources. It provides tools for retrieval-augmented generation queries (send_message), data ingestion (upload_file), and source listing, enabling AI agents to query private documents like PDFs with high accuracy and real-time citations.
The Needle MCP server enables semantic search on documents stored in files like PDFs, DOCX, and XLSX by connecting AI applications to external data sources. It provides capabilities to create and manage document collections, perform natural language searches on stored content, and retrieve relevant information without requiring exact keyword matches.