What is Google Cloud Vision MCP?

It's an MCP (Model Context Protocol) server that connects Google Cloud Vision 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 Google Cloud Vision exposes; you approve them when connecting.

Is my customers' data stored on mcp.ai?

No. Whatever Google Cloud Vision returns passes through our infrastructure solely to reach the AI assistant you chose, and that content is not stored. By design we don't persist tool-call payloads: the log keeps metadata only (which tool, timestamp, status, duration, size and a hash of the arguments). Your credentials are stored encrypted and you can revoke the connection at any time. Retention periods and details are in the Privacy Policy at mcp.ai/privacy.

Is my data used to train AI models?

No. Nothing that flows through the connector is used to train or improve AI models, nor shared with third parties for that purpose. The conversation itself, meaning your prompts and the AI's answers, is processed by the AI provider you choose (Claude, ChatGPT and the like), under their own privacy policy.

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.

Google Cloud Vision MCP Server and REST API

Google Cloud Vision

Connect your Google Cloud Vision account and use 29 tools for artificial intelligence straight from your AI agent. Connect with your own API key. Google Cloud Vision API enables developers to integrate vision detection features into applications, including image labeling, face and landmark detection, optical character recognition (OCR), and explicit content tagging.

Install in your client

MCP server URL

https://api.mcp.ai/p_google_cloud_vision

Secure connection via OAuth 2.0

Tools (29)

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

Guides

Guides and tutorials

Step-by-step walkthroughs with copy-paste prompts.

Needs your own key

Como oferecer um MCP dentro do seu produto

Cada usuário do seu app conecta a conta dele: connect sessions com client_ref, webhook de conexão, leitura por API e as páginas de conexão no seu domínio.

Guides

Needs your own key

Cada usuário do seu app com o MCP dele

Em vez de consumir a API no seu backend, cada usuário final pluga o MCP dele no Claude/ChatGPT: toolkit e convite por usuário, isolamento de fábrica e a URL no seu domínio.

FAQ

Google Cloud Vision

Tools (29)

API & agent docs

Guides and tutorials

Como oferecer um MCP dentro do seu produto

Cada usuário do seu app com o MCP dele

Frequently asked questions

Example prompts

Related tags

Google Cloud Vision

Tools (29)

google_cloud_vision_annotate_filesTool to perform image detection and annotation for batch files in Google Cloud Vision. Supports PDF, TIFF, and GIF files. Extracts up to 5 frames (GIF) or pages (PDF/TIFF) from each file and performs

google_cloud_vision_annotate_files_async_batchTool to run asynchronous image detection and annotation for a list of generic files (PDF, TIFF, GIF). Use when processing multi-page documents that may contain multiple images per page. Results are wr

google_cloud_vision_annotate_imagesRun image detection and annotation for a batch of images using Google Cloud Vision API. Performs various types of image analysis including face detection, landmark detection, logo detection, label det

google_cloud_vision_annotate_images_async_batchTool to run asynchronous image detection and annotation for a batch of images. Use when processing multiple images or large images that require longer processing time. Results are written to Google Cl

google_cloud_vision_annotate_location_imagesTool to run image detection and annotation for a batch of images scoped to a specific project and location. Performs various types of image analysis including label detection, face detection, landmark

google_cloud_vision_create_productCreates a new Product resource in Google Cloud Vision Product Search. A Product represents a physical item that can be visually searched using reference images. After creating a product, you can add r

google_cloud_vision_create_product_setCreates a new ProductSet resource in Google Cloud Vision Product Search. A ProductSet is a container for grouping related products together for visual search. After creating a product set, you can add

google_cloud_vision_create_reference_imageTool to create a ReferenceImage under a product. Use when adding a new image to a product for detection.

google_cloud_vision_delete_productPermanently deletes a Product and its associated reference images from Google Cloud Vision API. This is a destructive operation that cannot be undone. The product metadata and all images are deleted i

google_cloud_vision_get_productTool to get information associated with a Product. Use when you have the product resource name and need its details.

google_cloud_vision_get_product_setTool to get a ProductSet. Use when you need metadata details of an existing ProductSet by its full resource name. Use after obtaining the resource name.

google_cloud_vision_import_product_setsAsynchronously imports product sets and reference images from a CSV file stored in Google Cloud Storage. This bulk import operation creates ProductSets, Products, and ReferenceImages from a properly f

google_cloud_vision_list_index_endpointsLists IndexEndpoints in Vertex AI Vision for a given project and location. IndexEndpoints are deployed instances of image indexes used for visual search and retrieval in Vision AI's media warehouse. U

google_cloud_vision_list_locationsTool to list available Vision AI service locations for a project. Use when you need to discover supported regions before making region-specific API calls.

google_cloud_vision_list_operationsTool to list operations that match the specified filter. Use when you need to retrieve all operations under a specific project and location.

google_cloud_vision_purge_productsTool to asynchronously delete products in a ProductSet or orphan products. Use when you need to clean up products at scale; ensure `force` is true to execute.

google_cloud_vision_update_productTool to update a Product's mutable fields: displayName, description, and productLabels. Use after confirming the product resource name.

google_cloud_vision_update_product_setTool to update a ProductSet resource. Use when you need to modify the displayName of an existing ProductSet.

google_cloud_vision_vision_add_product_to_product_setAdd a Product to a ProductSet in Google Cloud Vision Product Search. This action associates a Product with a ProductSet, enabling the product to be included in product search queries against that set.

google_cloud_vision_vision_cancel_operationStarts asynchronous cancellation of a long-running Vision API operation. Returns an empty response on successful cancellation request. Note that the server makes a best effort to cancel the operation,

google_cloud_vision_vision_delete_operationTool to delete a long-running Vision API operation. Use after confirming the operation name.

google_cloud_vision_vision_delete_product_setTool to permanently delete a ProductSet. Use after confirming the ProductSet's resource name.

google_cloud_vision_vision_delete_reference_imagePermanently removes a reference image from a product in Google Cloud Vision Product Search. This action deletes the reference image association from the specified product. The image will be marked for

google_cloud_vision_vision_get_operationRetrieves the latest state of a long-running Vision API operation. Use this to poll the status of asynchronous operations like importProductSets or purgeProducts. The operation name is returned when y

google_cloud_vision_vision_get_reference_imageTool to get information associated with a ReferenceImage. Use when you have the full resource name and need its metadata.

google_cloud_vision_vision_list_products_in_product_setTool to list Products in a specified ProductSet. Use when you need to retrieve Products associated with a ProductSet after confirming it exists, with optional pagination.

google_cloud_vision_vision_list_projectsList Google Cloud projects accessible to the authenticated user via Cloud Resource Manager API. This action queries the Cloud Resource Manager API (not Vision API directly) to enumerate projects. It r

google_cloud_vision_vision_list_reference_imagesTool to list reference images for a product. Use when you need to retrieve stored reference images under a specified product resource name, with optional pagination.

google_cloud_vision_vision_remove_product_from_product_setRemoves a Product from a specified ProductSet in Google Cloud Vision API. This operation unlinks a product from a product set but does not delete either resource. Both the product and product set must

API & agent docs

Guides and tutorials

Como oferecer um MCP dentro do seu produto

Cada usuário do seu app com o MCP dele

Frequently asked questions

What is Google Cloud Vision MCP?

Which AI clients does it work with?

Do I need to code?

Is it secure? Can the AI change my data?

Is my customers' data stored on mcp.ai?

Is my data used to train AI models?

How much does it cost?

Can I cancel anytime?

Example prompts

Related tags