Ask your agent in plain language. Each of these maps to a real tool on the server.
Cloud Vision reads images: text, labels, logos, landmarks and faces. Agents use it to extract text from scans and photos or to tag images before filing them.
Run OCR on a scanned receipt, form or screenshot and return the text.
Label product photos with objects and dominant colours for a catalogue.
Detect logos in user-submitted images.
Run safe search detection before an image is published.
Cloud Vision accepts an API key or Google OAuth. Either way, the Vision API must be enabled with billing on the Google Cloud project, and usage is charged per image feature.
Sign-in options on Metorial: API Key, Google OAuth 2.0.
detect_landmarks
Identifies well-known natural and human-made landmarks in an image. Returns the landmark name, confidence score, bounding box, and geographical coordinates (latitude/longitude) when available. Useful for travel, geography, and location-based applications.
detect_faces
Detects faces in an image and returns detailed attributes including emotional expression likelihoods (joy, sorrow, anger, surprise), facial orientation angles, detection confidence, and whether headwear or blur is present. Includes bounding box coordinates for each detected face.
get_crop_hints
Suggests optimal crop regions for an image based on its content. You can specify target aspect ratios (width/height) and the API returns bounding boxes with confidence scores. Useful for automated image cropping, thumbnail generation, and responsive image preparation.
detect_logos
Recognizes logos of popular brands within an image. Returns the brand name, confidence score, and bounding box for each detected logo. Useful for brand monitoring, market analysis, and detecting brand presence in social media images.
detect_labels
Identifies general objects, locations, activities, animal species, products, and more within an image. Returns descriptive labels with confidence scores. Useful for image categorization, content tagging, and understanding image contents at a high level.
analyze_image
Performs multiple Vision API detection features on a single image in one request. Select any combination of features (labels, objects, faces, landmarks, logos, text, safe search, image properties, crop hints, web detection) to analyze an image comprehensively. More efficient than making separate calls for each feature.
detect_image_properties
Analyzes an image to determine its dominant colors, returning RGB values, coverage fraction, and relevance scores. Useful for color palette extraction, design workflows, and image categorization by color.
detect_web
Searches the web for information related to an image. Returns matching web entities, pages containing the image, visually similar images, and best-guess labels describing the image content. Useful for reverse image search, finding image sources, and understanding web presence.
detect_objects
Detects and localizes multiple objects in an image, returning each object's name, confidence score, and bounding box coordinates. Useful for understanding object positions and spatial relationships within an image. Object names are returned in English only.
detect_safe_search
Analyzes an image for explicit or inappropriate content across five categories: adult, spoof, medical, violence, and racy. Returns a likelihood rating for each category. Useful for content moderation and filtering.
detect_text
Extracts text from images using optical character recognition (OCR). Supports two modes: standard text detection for photos and general scenes, and document text detection optimized for dense text, documents, and handwriting. Returns the full extracted text along with individual text blocks and their positions.
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.
Analyze images using pre-trained machine learning models. Detect and label objects, faces, landmarks, logos, and text (OCR) in images. Extract text from photos, documents, PDFs, and handwritten content. Detect explicit or unsafe content with SafeSearch. Identify dominant colors and image properties. Localize multiple objects with bounding regions. Get crop hints for optimal image framing. Detect web entities and find visually similar images online. Supports base64-encoded images, Cloud Storage URIs, and public URLs. Run asynchronous batch annotation on up to 2000 images.
Common questions about connecting Google Cloud Vision to AI agents with Metorial.
