Ask your agent in plain language. Each of these maps to a real tool on the server.
run_scraper
Run a previously created reusable scraper on one or more URLs. Returns structured data extracted according to the scraper's configured attributes. Use this after creating a scraper with the **Create Scraper** tool or selecting one with **List Scrapers**. Use run_scraper_async for agentic scrapers or long-running work.
create_scraper
Create a new reusable scraper and generate its extraction code in one step. Provide a sample URL (or raw content) and the attributes to extract. The scraper can then be run on multiple URLs with the **Run Scraper** tool. Ideal for scenarios where the same type of data needs to be extracted from many pages with a similar structure.
extract_markdown
Convert any web page into markdown format by providing its URL. Returns the full page content as clean markdown text and a downloadable Markdown file. Supports proxy configuration for geo-restricted pages and cookies for authenticated pages.
extract_data
Extract structured data from any web page using AI. Provide a URL and describe the data you want using either a natural-language prompt or a list of named attributes with descriptions. Supports **precision mode** for extracting data hidden in HTML tags and **proxy configuration** for geo-restricted pages.
parse_content
Extract structured data from raw HTML or text content you already have, without fetching from a URL. Provide the content directly along with a prompt or attributes describing the data to extract. Useful when you have pre-fetched HTML or text and want AI-powered data extraction from it.
list_scrapers
List reusable scrapers in your Parsera account. Returns their IDs and names, plus type, status, URL, and creation time when available.
delete_scraper
Delete a reusable scraper from your Parsera account by its ID. Only scrapers created via the API can be deleted; legacy scrapers cannot be removed this way.
get_scraper_run
Retrieve an asynchronous scraper run’s current state, progress, credit usage, and extracted data when available. Results preserve their per-URL structure.
get_scraper
Get a reusable scraper’s details and build state. For agentic scrapers, inspect parameters_schema before running the scraper.
run_scraper_async
Start a reusable scraper run and return immediately with its run_id. Use get_scraper_run to retrieve progress and extracted data.
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.
Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.
Manage CRM data including Accounts, Contacts, Leads, Opportunities, Cases, and custom objects. Create, read, update, and delete records. Query data using SOQL and search across objects using SOSL. Perform bulk data operations for large-scale imports, exports, and migrations. Execute composite requests to batch multiple operations in a single API call. Access analytics, reports, and dashboards. Manage files and attachments associated with records. Interact with Chatter feeds, posts, and groups for social collaboration. Manage org metadata including custom objects, fields, layouts, and workflows. Query data using GraphQL for precise data retrieval across related objects.
Manage SharePoint sites, document libraries, lists, and files. Create, read, update, and delete lists and list items with custom columns. Resolve site users to numeric Person/Group LookupId values. Upload, download, move, copy, and version files in document libraries. Search across sites, files, folders, lists, and list items using Microsoft Search. Manage permissions at site, list, and item levels with granular access control. Define and manage content types and site columns. Retrieve site properties and search for sites across Microsoft 365.
Create, read, update, and delete records in Airtable bases and tables. Manage base schemas including creating tables and fields. Filter records using formulas, sort by fields, and scope queries to specific views. Upsert records to find, create, or update in a single call. Upload attachments to records, read and write record comments, list accessible bases, and receive real-time base change events through webhooks.
Track, manage, and resolve application errors and performance issues. List, query, and bulk-update issues and error events with filters like status, assignment, and tags. Create and manage releases, associate commits, and upload source maps. Configure issue alert rules and metric alert rules with notification actions. Set up cron monitors to detect missed or failed scheduled jobs. Build custom dashboards with configurable widgets. Run ad-hoc Discover queries across errors and transactions for performance analysis. Manage organizations, teams, projects, and members. Provision users via SCIM. Access session replay data.
Manage Git repositories, pull requests, and CI/CD pipelines on Bitbucket Cloud. Create, fork, and configure repositories within workspaces and projects. Create, review, approve, merge, and decline pull requests with inline code comments. Browse source code, list commits, and manage branches and tags. Trigger, monitor, and manage Bitbucket Pipelines. List workspace members, configure repository default reviewers and branch restrictions, create and manage repository webhooks, and search code across repositories.
Extract structured data from web pages using AI-powered natural-language descriptions. Scrape any URL by specifying desired attributes with names, descriptions, and types. Parse raw HTML or text content directly. Convert web pages to markdown. Create reusable scrapers that can be run across multiple URLs at once. Generate deterministic Python scraping code for faster, cost-effective extraction. Supports proxy configuration for geo-specific access, precision mode for hidden HTML data, and custom cookies for authenticated pages.
Common questions about connecting Parsera to AI agents with Metorial.
