Ask your agent in plain language. Each of these maps to a real tool on the server.
extract_document
Submit a document for text extraction. Accepts a document URL and converts it into LLM-optimized text using various extraction modes (native text, OCR, form, table). Returns a whisper hash that can be used to check status and retrieve results. For large or complex documents, processing is asynchronous — use **Get Extraction Status** to poll for completion and **Retrieve Extraction** to get the text.
get_extraction_status
Check the processing status of a document extraction job. Use the whisper hash returned from **Extract Document** to poll for completion. Possible statuses: "accepted" (queued), "processing" (in progress), "processed" (ready to retrieve), "error" (failed), "retrieved" (already retrieved).
get_usage_info
Retrieve account usage metrics including page counts, quotas, and subscription plan details. Useful for monitoring consumption and quota limits.
get_highlights
Retrieve bounding box coordinates for extracted text lines. Use this to highlight or locate specific lines in the original document. Requires that the extraction was performed with `addLineNos` enabled.
manage_webhook
Register, update, retrieve, or delete a webhook for receiving document extraction completion notifications. Webhooks are referenced by name in extraction requests via the `useWebhook` parameter. When registering, LLMWhisperer sends a test payload to verify the URL is functioning — ensure the endpoint returns a 200 status code.
retrieve_extraction
Retrieve the extracted text from a completed document extraction job. Use the whisper hash from **Extract Document** after the status is "processed". Returns the full extracted text along with confidence and document metadata.
get_tag_usage
Get page usage by extraction mode for a tag, optionally within a date range. Use the tag supplied to Extract Document. If neither date is supplied, the API reports the last 30 days.
get_extraction_details
Get processing metrics for a document extraction job, including its mode, tag, page counts, file size, and processing timestamps. Use the whisper hash returned by Extract Document.
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.
Create, read, update, and archive pages and databases in a Notion workspace. Manage blocks (paragraphs, lists, headings, embeds, etc.) within pages. Query databases with filters and sorts across rich property types including text, numbers, dates, selects, relations, and formulas. Search across pages and databases by title. Add and read comments on pages and blocks. Upload files to pages. Manage workspace users and retrieve user profiles.
Create, read, and update spreadsheets and their cell data. Read and write values to individual cells, ranges, or multiple ranges using A1 notation or named ranges. Apply cell formatting including text styles, backgrounds, borders, number formats, and conditional formatting. Manage sheets (tabs) within a spreadsheet—add, delete, copy, rename, and reorder them. Create and manage embedded charts, pivot tables, filter views, data validation rules, protected ranges, named ranges, and merged cells. Perform batch operations to apply multiple updates atomically.
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.
Extract and convert complex documents — PDFs, scanned images, Office documents, and spreadsheets — into LLM-optimized text. Submit documents via file upload or URL with multiple extraction modes: native text, low-cost OCR, high-quality OCR, form extraction, and table extraction. Preserve document layout or extract plain text. Configure image preprocessing (median filter, Gaussian blur) to improve OCR quality. Select specific pages for extraction. Check extraction status for async processing and retrieve results when ready. Get line-level bounding box metadata for text highlighting and search. Register webhooks for extraction completion notifications. Track API usage metrics by processing mode and tag.
Common questions about connecting Llmwhisperer to AI agents with Metorial.
