delete_agent
Delete Agent
Permanently delete a scraping, crawling, or monitoring agent by its ID. This action cannot be undone.
Ask your agent in plain language. Each of these maps to a real tool on the server.
delete_agent
Permanently delete a scraping, crawling, or monitoring agent by its ID. This action cannot be undone.
clone_agent
Create a copy of an existing agent with all its configuration, fields, and input URLs. Useful for duplicating agent setups to create variations.
manage_agent_input
Get or update the input configuration of an agent. You can attach manual URLs, link a reusable list, or chain another agent's output as input. Use the "get" action to view current input, or "update" to modify it.
generate_pdf
Convert a web page or HTML content into a PDF document. Supports custom page formats and navigation options.
get_agent
Retrieve the full configuration and details of a specific scraping, crawling, or monitoring agent by its ID. Returns the agent's fields, selectors, browser settings, and other configuration.
get_job_results
Retrieve the scraped data results from a completed or in-progress job. Results are returned in paginated JSON format, max 1000 rows per request. Use offset and limit for pagination through large result sets.
stop_job
Stop a currently running scraping, crawling, or monitoring job. Any results collected before stopping will still be available.
extract_structured_data
Automatically extract structured data (Schema.org, JSON-LD, Microdata, RDFa) from a web page URL. Returns machine-readable structured data found on the page without requiring manual selector configuration.
list_jobs
Retrieve a list of historical jobs across all agents or filtered by a specific agent. Returns job summaries including status, timestamps, and page counts.
manage_schedule
Create, view, or delete a schedule for an agent. Schedules use CRON expressions to automatically start jobs at specified intervals (e.g. every 5 minutes, hourly, daily).
get_job_status
Check the current status and progress of a scraping job. Returns status, pages processed, success/failure counts, and timestamps.
manage_list
Create, retrieve, update, or delete reusable URL/data lists that can be attached to agents as input sources. Lists are useful for managing large sets of URLs across multiple agents. You can also add rows to existing lists.
capture_screenshot
Capture a screenshot of a web page or HTML content. Supports full-page capture, PNG/JPEG image formats, and navigation options. Prepares a downloadable screenshot.
export_job_result
Generate a download link for job results or logs in CSV format. Useful for exporting large datasets for external processing.
get_page_content
Download the full rendered HTML content of a web page. Uses a headless browser to retrieve JavaScript-rendered page source and prepares a downloadable HTML file.
get_job_logs
Retrieve the execution logs for a specific job. Logs contain timestamped entries detailing the job's progress, errors, and processing details.
list_agents
Retrieve a list of scraping, crawling, and monitoring agents in your Agenty account. Supports pagination, sorting, and search filtering to find specific agents.
start_job
Start a new scraping, crawling, or monitoring job for a given agent. The job runs asynchronously in the background. Returns the job ID for tracking progress and retrieving results.
list_list_rows
Retrieve rows in a reusable list, including their _id values for updating or deleting individual rows. Use manage_list with action list to discover list IDs.
manage_list_row
Get, update, or delete one row in a reusable list. Call list_list_rows to discover row IDs. Deleting a row is permanent.
Every client uses the same Magic MCP URL, and so does any other MCP client. Add it once and sign in with SSO.
{"mcpServers": {"metorial": {"url": "<your-magic-mcp-url>"}}}
claude mcp add --transport http metorial <your-magic-mcp-url>
codex mcp add metorial --url <your-magic-mcp-url>codex mcp login metorial
One governed layer for every app your agents reach, not a separate connector per tool.
Scrape, extract, and monitor web data at scale. Create and manage scraping agents to extract structured data from websites using CSS selectors, JSONPath, regex, or AI-powered auto-detection. Monitor web pages for content changes on configurable schedules with visual diff screenshots and keyword alerts. Run asynchronous scraping jobs with automatic proxy rotation, headless browsers, captcha solving, and pagination handling. Export results as JSON, CSV, or TSV. Perform browser automation tasks including capturing screenshots, generating PDFs, retrieving rendered HTML, and executing custom Puppeteer/Playwright scripts. Chain agents together by feeding one agent's output as another's input. Manage reusable URL lists, schedules, team members with role-based access, and webhook integrations for automatic data delivery on job completion.
Common questions about connecting Agenty to AI agents with Metorial.