# MCP Scraper
> Web intelligence, shared memory, connected accounts, and manual workflows 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=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 shared web data, Memory, integrations, and manual workflows. It can collect public evidence, keep approved information searchable across tools, and connect authorized business accounts.

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, and connected-account access 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/memory>
## Pages
- [MCP Scraper — One brain for every AI you use](https://mcpscraper.dev/): Get any data and give every AI a shared memory. 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, 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 349 MCP Scraper tools from Node.js, Python, the CLI, cURL, or the REST API — including stored 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 in the current conversation and remember the result in Memory.
- [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, retention, security, and deletion requests.
- [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 actions, 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.