How to connect Google cloud vision MCP with VS Code

How to connect Google cloud vision MCP with VS Code VS Code is the most popular code editor out there. With its recent AI makeover, it can do more than just help you write code. You can connect your applications to it and let LLMs automate many of the mundane tasks in your workflow. In this guide, I will explain how to connect Google cloud vision with VS Code in the most secure and robust way possible via Composio.

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Google Cloud Vision API adds advanced image analysis—like labeling, OCR, and detection—to apps. It helps you extract structured data and insights from images at scale.

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How to connect Google cloud vision MCP with VS Code

VS Code is the most popular code editor out there. With its recent AI makeover, it can do more than just help you write code. You can connect your applications to it and let LLMs automate many of the mundane tasks in your workflow.

In this guide, I will explain how to connect Google cloud vision with VS Code in the most secure and robust way possible via Composio.

Also integrate Google cloud vision with

Why use Composio?

Composio provides:

  • Access to 1,000+ managed apps from a single MCP endpoint. This makes it convenient for agents to run cross-app workflows.
  • Programmatic tool calling. Allows LLMs to write its code in a remote workbench to handle complex tool chaining. Reduces to-and-fro with LLMs for frequent tool calling.
  • Large tool response handling outside the LLM context. This minimizes context bloat from large tool responses.
  • Dynamic just-in-time access to thousands of tools across hundreds of apps. Composio loads the tools your agent needs, so LLMs are not overwhelmed by tools they do not need.

Integrate Google cloud vision MCP with VS Code

1. Install with one click

Click the button below to add Composio to VS Code. You will be prompted to authorize. This requires VS Code 1.99+ with GitHub Copilot.

+Install in VS Code

2. Or add manually

Open or create .vscode/mcp.json in your project root and add the following configuration:

bash
{
  "servers": {
    "composio": {
      "type": "http",
      "url": "https://connect.composio.dev/mcp"
    }
  }
}

3. Authorize

Click the install button to authorize VS Code to connect to Composio. VS Code will detect OAuth and prompt you to sign in.

VS Code MCP server install screen for Composio

A browser window will open to authorize.

Composio authorization browser window

4. Authenticate Google cloud vision and start working

Back in VS Code chat, ask the agent to connect to Google cloud vision or give it any Google cloud vision-related task.

For example, ask it to:

  • "Bulk import product images from GCS CSV"
  • "List all Vision AI service locations"
  • "Create a new product for image recognition"

It will prompt you to authenticate and authorize access to Google cloud vision.

That is it. Composio tools are now available in VS Code, and your Google cloud vision account is ready to use.

Way Forward

Now that Google cloud vision is connected, extend your setup by connecting the other apps you already use every day, so your agent can run true cross-app workflows end to end.

  • Connect Calendar to turn threads into scheduled meetings automatically.
  • Connect Slack or Teams to post summaries, approvals, and alerts where your team works.
  • Connect Notion, Linear, Jira, or Asana to convert requests into tickets, tasks, and docs.
  • Connect Drive, Dropbox, or OneDrive to fetch, file, and share attachments without manual steps.
  • Connect HubSpot or Salesforce to log customer context, update records, and draft follow-ups.

Start with one workflow you do repeatedly, then keep adding apps as you find new handoffs. With everything behind a single MCP endpoint, your agent can coordinate multiple tools safely and reliably in one conversation.

TOOLS

Supported Tools

Every Google cloud vision action and event your agent gets out of the box.

Annotate Files with Vision API

Tool to perform image detection and annotation for batch files in Google Cloud Vision.

Async Batch Annotate Files

Tool to run asynchronous image detection and annotation for a list of generic files (PDF, TIFF, GIF).

Annotate Images

Run image detection and annotation for a batch of images using Google Cloud Vision API.

Annotate Images Async Batch

Tool to run asynchronous image detection and annotation for a batch of images.

Annotate Location Images

Tool to run image detection and annotation for a batch of images scoped to a specific project and location.

Create Vision Product

Creates a new Product resource in Google Cloud Vision Product Search.

Create Product Set

Creates a new ProductSet resource in Google Cloud Vision Product Search.

Create ReferenceImage

Tool to create a ReferenceImage under a product.

Delete Product

Permanently deletes a Product and its associated reference images from Google Cloud Vision API.

Get Product

Tool to get information associated with a Product.

Get Product Set

Tool to get a ProductSet.

Import Product Sets

Asynchronously imports product sets and reference images from a CSV file stored in Google Cloud Storage.

List Vision AI IndexEndpoints

Lists IndexEndpoints in Vertex AI Vision for a given project and location.

List Locations

Tool to list available Vision AI service locations for a project.

List Vision API Operations

Tool to list operations that match the specified filter.

Purge Products

Tool to asynchronously delete products in a ProductSet or orphan products.

Update Product

Tool to update a Product's mutable fields: displayName, description, and productLabels.

Update Product Set

Tool to update a ProductSet resource.

Add Product to ProductSet

Add a Product to a ProductSet in Google Cloud Vision Product Search.

Cancel Vision Operation

Starts asynchronous cancellation of a long-running Vision API operation.

Delete Vision API Operation

Tool to delete a long-running Vision API operation.

Delete Product Set

Tool to permanently delete a ProductSet.

Delete Reference Image

Permanently removes a reference image from a product in Google Cloud Vision Product Search.

Get Vision API Operation

Retrieves the latest state of a long-running Vision API operation.

Get Reference Image

Tool to get information associated with a ReferenceImage.

List Products in ProductSet

Tool to list Products in a specified ProductSet.

List Projects

List Google Cloud projects accessible to the authenticated user via Cloud Resource Manager API.

List Reference Images

Tool to list reference images for a product.

Remove Product from ProductSet

Removes a Product from a specified ProductSet in Google Cloud Vision API.

FAQ

Frequently asked questions

With a standalone Google cloud vision MCP server, the agents and LLMs can only access a fixed set of Google cloud vision tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Google cloud vision and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. VS Code fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Google cloud vision tools.

Yes, absolutely. You can configure which Google cloud vision scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Google cloud vision data and credentials are handled as safely as possible.

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