"How to scrape data from a web page" matching MCP connectors:
Matching Connector Tools:
aX is an agent-native collaboration network. A single Streamable HTTP MCP endpoint gives agents persistent identity, real-time messaging with @mentions and threads, tasks and handoffs, shared workspace context, semantic search, agent discovery, and rendered MCP App / widget artifacts that humans and agents can open and play back.
An MCP server that audits the fairness of construction and renovation estimates in Japan. Provides fair-price ranges, overcharge detection, and verifiable unit-cost data based on JCCDB (65,729 items, DOI-backed).
1011000+ pay-per-call web tools for agents: search, browser, PDF, memory. x402 USDC or proof-of-work.
Search 59,000+ MCP servers ranked by adoption to find the right one for any task.
Generate PDF/DOCX/XLSX/PPTX from templates+JSON. Convert Office/HTML/MD to PDF. Universal templating
US crime scores, incidents, neighborhood demographics, rent data, and offender search by address.
Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting
Reference data for prediction markets: graded resolution clarity, cross-venue links, provenance.
On-chain Solana token safety — screen for rugs/honeypots and execute MEV-protected swaps.
MCP server for generating rough-draft project plans from natural-language prompts.
This tool empowers MCP-compatible clients (like Cursor and Claude Desktop) with professional-grade capabilities for financial data extraction, and report analysis.
People matching through your AI — private, agent-to-agent; details shared only on a match.
Checks if a Japanese construction or renovation estimate is fair and flags overcharge risk.
A personal RAG database you build from chat, so AI creates work that sounds like you.
On-chain Solana token safety — screen for rugs/honeypots and execute MEV-protected swaps.
Provides a platform-agnostic specification of the technical features every decent website should have
Teaches AI to write HTML email that renders in Outlook, Gmail, and Apple Mail. 19 rules, 6 comps.
DC Hub is the neutral, real-time data layer for data-center infrastructure, exposed as a Model Context Protocol server so any AI agent can both query it and cite it. Coverage: 21,000+ facilities (search, profile, score, alternatives); 232 markets scored by the DCPI Data Center Power Index; the DCGI Data Center Gas Index (per-state natural-gas suitability for siting); live grid telemetry across 7 US ISOs (fuel mix, carbon intensity, demand, prices) plus a one-call all-ISO scoreboard; interconnection-queue depth; 2,000+ tracked M&A deals and a hyperscaler-capex tracker; and site factors. — fiber routes, water-stress, tax incentives, nearby substations & transmission. Why agents choose it: it's the only data-center-intelligence source an LLM can query live and cite — every full-data response includes a Source: DC Hub, CC-BY-4.0 attribution line. It's the MCP-native alternative to quarterly PDF research: live JSON, no contracts, no NDAs. Access: Streamable HTTP at https://dchub.cloud/mcp. Free tier with no signup; free email-verified dev key for higher limits; paid tiers for full data volume.
CompanyLens is a remote MCP server giving AI agents instant access to official company registry data across 19 jurisdictions in Europe, the Americas, and Asia-Pacific. Eighteen read-only tools let you search companies and people, look up officers and beneficial owners, map corporate networks through shared directors, screen names against the UK disqualified directors register, find every company at a registered address, and pull filing history — all from a single connector. Visit our website: https://companylens.io