What is Scrapegraph Ai MCP?

It's an MCP (Model Context Protocol) server that connects Scrapegraph Ai to your AI, giving the agent tools to act on your data — through a single remote link.

Which AI clients does it work with?

Any MCP-compatible client: Claude (web, desktop and mobile), Cursor, ChatGPT with connectors, OpenClaw and other agents.

No. Paste the remote URL into your client, authenticate once, and you're done — no packages to install, no code to write.

Is it secure? Can the AI change my data?

Access is authorized by you and can be revoked anytime. Permissions follow what Scrapegraph Ai exposes; you approve them when connecting.

How much does it cost?

You start free and upgrade when you need more usage. Billing and limits are managed in your mcp.ai account.

Can I cancel anytime?

Yes. Plans are monthly and can be cancelled at any time, with no lock-in.

Scrapegraph Ai MCP Server and REST API

Scrapegraph Ai

Connect your Scrapegraph Ai account and use 27 tools for web scraping straight from your AI agent. Connect with your own API key. ScrapeGraphAI is an AI-powered web scraping API that enables developers to extract structured data from any website using natural language prompts. Website https://scrapegraphai.com.

Install in your client

MCP server URL

https://api.mcp.ai/p_scrapegraph_ai

Secure connection via OAuth 2.0

Tools (27)

For developers

API & agent docs

Machine-readable docs to plug this server into an agent or call it over REST.

Skill (how to use)

Markdown: use via MCP or via the direct REST API.

Open

llms.txt

Agent-readable spec of this server.

Open

For agents

Install prompt — paste into Claude, ChatGPT, Cursor or any MCP agent and it sets itself up.

Open

Postman collection

Import the REST API into Postman.

Download

FAQ

Scrapegraph Ai

Tools (27)

API & agent docs

Frequently asked questions

Example prompts

Related tags

Scrapegraph Ai

Tools (27)

scrapegraph_ai_convert_webpage_to_markdown_v2Tool to convert any webpage into clean, well-formatted Markdown with full parameter control. Use when you need advanced options like stealth mode, custom headers, or webhook notifications. Supports al

scrapegraph_ai_generate_schemaGenerate or modify a JSON schema based on a search query for structured data extraction. Use when you need a schema template for scraping specific data fields.

scrapegraph_ai_get_agentic_scraper_historyRetrieve paginated history of agentic scraper jobs. Use to view past scraping requests, their status, and results.

scrapegraph_ai_get_crawler_historyRetrieve the history of crawler jobs for your account. Returns paginated list of past crawler requests with their status, results, and metadata.

scrapegraph_ai_get_creditsRetrieve remaining and used credits for your ScrapeGraphAI account. Useful for checking credit availability before bulk scraping operations to avoid mid-run failures.

scrapegraph_ai_get_endpoint_suggestionsTool to get AI-powered suggestions for creating scraping endpoints. Use when you need to identify what data can be extracted from a website and how to structure the scraping logic.

scrapegraph_ai_get_live_session_urlTool to get a URL for a live browser session. Use when you need to interact with a webpage in real-time through a controlled browser environment.

scrapegraph_ai_get_markdownify_historyTool to retrieve the history of markdownify webpage-to-Markdown conversion jobs. Use when you need to view past markdownify requests and their statuses.

scrapegraph_ai_get_scrape_historyRetrieve the history of scrape jobs from your ScrapeGraphAI account. Use this to check the status of past scrapes, view results, and track credit usage.

scrapegraph_ai_get_searchscraper_historyGet the history of searchscraper jobs with pagination support. Use this to retrieve past searchscraper requests, their status, and results.

scrapegraph_ai_get_sitemap_historyTool to retrieve the history of sitemap extraction jobs. Use when you need to view past sitemap extraction requests, their status, and results.

scrapegraph_ai_get_smartscraper_historyTool to retrieve the history of smartscraper jobs. Use when you need to view past scraping requests and their results.

scrapegraph_ai_get_usage_timelineTool to retrieve usage timeline statistics for your ScrapeGraphAI account. Use when you need to visualize or analyze service usage patterns over time.

scrapegraph_ai_get_webhook_logsTool to retrieve webhook delivery logs for a crawler job. Use when you need to check the status and history of webhook notifications sent for a specific crawler execution.

scrapegraph_ai_list_scheduled_jobsRetrieve a paginated list of all scheduled scraping jobs for your account. Use this action to view and manage your scheduled jobs, including their configuration, cron schedules, and active status. Sup

scrapegraph_ai_markdownify_statusCheck the status and retrieve results of a Markdownify webpage-to-Markdown conversion job. Use this action to poll for the status of an async Markdownify request started via SCRAPEGRAPH_AI_MARKDOWNIFY

scrapegraph_ai_save_endpointTool to save custom scraping endpoint configurations to ScrapeGraphAI. Use when you need to create reusable scraping endpoints with specific parameters and extraction logic.

scrapegraph_ai_search_scraperPerform AI-powered web searches with structured, parsed results. Some sites block scrapers and return empty bodies; treat these as unrecoverable for that URL. JS-rendered pages may yield incomplete co

scrapegraph_ai_search_scraper_statusCheck the status and results of an asynchronous SearchScraper job.

scrapegraph_ai_smart_crawler_statusCheck the status and retrieve results of a SmartCrawler web crawling job. Use this action to poll for completion and get the extracted content from a previously started SmartCrawler job. Returns the j

scrapegraph_ai_smart_scraper_startStart AI-powered web scraping with natural language extraction prompts. When `wait` is false (default), returns a `request_id`; poll for results using SCRAPEGRAPH_AI_SMART_SCRAPER_STATUS. Check `error

scrapegraph_ai_smart_scraper_statusCheck the status and retrieve results of a SmartScraper web scraping job. Use this action to poll for completion after starting a SmartScraper job with wait=false. The request_id is returned by the St

scrapegraph_ai_start_smart_crawlerTool to start a multi-page web crawl using SmartCrawler for AI-powered data extraction. Use when you need to extract structured data from multiple pages of a website. Returns immediately with a task_i

scrapegraph_ai_submit_feedbackSubmit feedback and ratings for completed ScrapeGraphAI requests.

scrapegraph_ai_submit_product_feedbackSubmit product feedback for ScrapeGraphAI. Use to provide ratings, comments, suggestions, and other feedback about the product itself.

scrapegraph_ai_toonifyTool to convert JSON data to TOON (Token-Oriented Object Notation) format. Use when you need to reduce token usage for LLM processing while maintaining data structure.

scrapegraph_ai_validate_api_keyValidate your ScrapeGraphAI API key to ensure it is active and authorized. Use this action to check API key validity before making other API calls.

API & agent docs

Frequently asked questions

What is Scrapegraph Ai MCP?

Which AI clients does it work with?

Do I need to code?

Is it secure? Can the AI change my data?

How much does it cost?

Can I cancel anytime?

Example prompts

Related tags