# MCP Scraper
> Web intelligence, shared memory, connected accounts, and scheduled cloud-agent work for the AI tools people already use.
Canonical site: https://mcpscraper.dev
Language: en-US

## Queryable API

This file is a curated static overview. For targeted retrieval, use:

- Plain text: https://mcpscraper.dev/llms?query=your+question
- JSON: https://mcpscraper.dev/llms/json?query=your+question
- Examples: https://mcpscraper.dev/llms?query=web+scraping+for+AI+agents, https://mcpscraper.dev/llms?query=searchable+shared+memory, https://mcpscraper.dev/llms?query=scheduled+cloud+agents, https://mcpscraper.dev/llms?query=connected+business+accounts, https://mcpscraper.dev/llms?query=People+Also+Ask+research, https://mcpscraper.dev/llms?query=Claude+Code+evaluation, https://mcpscraper.dev/llms?query=when+not+to+use+MCP
- No query returns the complete curated overview in both formats.
- Limits: 256 query characters, 8 results, 1 per source, 900 excerpt characters and 12000 response characters.
- Every result includes its canonical source URL and corpus receipt.

## What MCP Scraper is

MCP Scraper gives AI agents a shared web-data, memory, integrations, and scheduling layer. It can collect public evidence, keep approved information searchable across tools, connect authorized business accounts, and run bounded recurring work in the cloud.

Sources: <https://mcpscraper.dev/>

## Agent surfaces

The product is available through a hosted MCP endpoint, an npm stdio server, a Claude Desktop extension, and a REST API. The same account can be used from Claude, ChatGPT, Cursor, and other compatible agent surfaces.

Sources: <https://mcpscraper.dev/docs>, <https://mcpscraper.dev/use-cases/web-scraping-mcp-server>

## Operating boundary

Public-web collection, private memory, connected-account access, and scheduled actions remain distinct permission lanes. Connected writes require explicit enablement and grants; retrieval results preserve canonical sources and corpus receipts.

Sources: <https://mcpscraper.dev/integrations>, <https://mcpscraper.dev/scheduler>, <https://mcpscraper.dev/memory>
## Pages
- [MCP Scraper — One brain for every AI you use](https://mcpscraper.dev/): Get any data, give every AI a shared memory, and schedule work in the cloud. One account connects Claude, ChatGPT, Cursor, and the rest of your AI stack.
- [What You Can Actually Do With MCP Scraper](https://mcpscraper.dev/aug-webinar): A live, practical MCP Scraper workshop covering web research, Memory, connected accounts, Scheduled Actions, reusable skills, and real workflows.
- [MCP Scraper Blog](https://mcpscraper.dev/blog/): Field guides on AI development, SEO, and developer tools. Every post answers 20–50 real search questions with sourced, practitioner-grade answers.
- [AI Development Workflows: A Complete Guide](https://mcpscraper.dev/blog/ai-development-workflows/): What they are, how they
- [Claude Code: The Evaluation Guide Every Tutorial Skips](https://mcpscraper.dev/blog/claude-code/): The cost math, head-to-head comparisons, and trust answers that every Claude Code tutorial skips — so you can decide before you adopt.
- [People Also Ask SEO: The Complete 2026 Guide](https://mcpscraper.dev/blog/people-also-ask-seo/): What PAA boxes are, how Google generates them, which tools harvest them at scale, and why the manual two-step loop breaks the moment you need programmatic data.
- [Vibe Coding: The Complete Honest Guide](https://mcpscraper.dev/blog/vibe-coding/): What vibe coding actually is, which free tools work, whether you can get hired, and the data layer no tutorial mentions — 30 questions answered without the hype.
- [What Is an MCP? The Honest Developer](https://mcpscraper.dev/blog/what-is-an-mcp/): MCP explained for developers who need to decide — not just understand. Which platforms adopted it, when to skip it, and how it compares to REST, Zapier, and Copilot.
- [When Not to Use an MCP: The Architectural Decision Guide](https://mcpscraper.dev/blog/when-not-to-use-an-mcp/): Not complexity—architecture. The three signals that disqualify MCP, the A2A and function-calling alternatives, and the protocol durability question for 2026.
- [Who Hallucinates More: ChatGPT or Claude?](https://mcpscraper.dev/blog/who-hallucinates-more-chatgpt-or-claude/): Five benchmarks, two competing verdicts, and the one variable every comparison article gets wrong. Know which model to trust before the answer matters.
- [Data Deletion Instructions](https://mcpscraper.dev/data-deletion): How to request deletion of your MCP Scraper account data or any connected-provider data, including Meta/Facebook data-deletion requests.
- [API & SDK Reference](https://mcpscraper.dev/docs): Use all 361 MCP Scraper tools from Node.js, Python, the CLI, cURL, or the REST API — including scheduled Search Console tables and filtered private downloads, connected-service exports, web intelligence, browser automation, and durable memory.
- [X-Ray Attribution Methodology](https://mcpscraper.dev/docs/xray/attribution): How X-Ray calculates seven observed attribution models and an explicit-weight observed-plus-reported impact projection.
- [Native Research and CRM Guide](https://mcpscraper.dev/docs/xray/crm): How MCP Scraper separates sourced Research records, managed CRM relationships, and read-only X-Ray evidence.
- [X-Ray SaaS Measurement Foundation](https://mcpscraper.dev/docs/xray/saas): Install one X-Ray tag, preserve acquisition context, define lifecycle events, govern consent, and compare seven attribution models.
- [Integrations — Put Your AI to Work Across Your Accounts](https://mcpscraper.dev/integrations): Connect email, calendar, analytics, meetings, ads, and client accounts to your AI. Work now, remember the result in Memory, or repeat it with Scheduler.
- [Memory](https://mcpscraper.dev/memory): One hosted memory for compatible MCP clients: 16 default note vaults, semantic and temporal recall, linked notes, tables, tasks, and CRM records.
- [Pricing](https://mcpscraper.dev/pricing): Simple monthly subscriptions with credits included — Starter $12/mo, Growth $40/mo, and Scale $100/mo. Scale customers can add 80,000 credits in $10 increments.
- [Privacy Policy](https://mcpscraper.dev/privacy): How MCP Scraper handles account data, per-user OAuth connections, provider data, scheduled actions, retention, security, and deletion requests.
- [Scheduling](https://mcpscraper.dev/scheduler): Put reminders, connected-account reads, recurring agent work, approvals, and results in one governed schedule.
- [Scraper](https://mcpscraper.dev/scraper): 235 scraper, connection, and automation tools for search, Maps, connected services, sites, media, live browser sessions, and workflows.
- [Terms of Service](https://mcpscraper.dev/terms): Plain-language terms for MCP Scraper accounts, connected services, OAuth permissions, user-directed schedules, provider rules, billing, and acceptable use.
- [Use Cases](https://mcpscraper.dev/use-cases): Explore how MCP Scraper helps you research customers and competitors, create content, and prepare client work with AI.
- [Google Maps Scraper for AI Research](https://mcpscraper.dev/use-cases/google-maps-scraper): Get Google Maps business details and reviews in your AI. Research customers, compare competitors, and prepare better content and client work.
- [Web Scraping for AI Agents](https://mcpscraper.dev/use-cases/web-scraping-for-ai-agents): Build AI agents that search, crawl, map, and navigate the live web, then return structured evidence, stable IDs, and inspectable artifacts.
- [Web Scraping MCP Server](https://mcpscraper.dev/use-cases/web-scraping-mcp-server): Connect one web scraping MCP server to search, scrape pages, map sites, collect platform data, and use a hosted browser from your AI client.
- [X-Ray Attribution](https://mcpscraper.dev/xray): Measure customer journeys with one site tag, seven observed attribution models, privacy controls, and separately labeled customer-reported influence.