How to integrate Google cloud vision MCP with Kimi Code

How to integrate Google cloud vision MCP with Kimi Code Kimi Code is Moonshot AI's open-source coding agent, powered by Kimi K2.6. It runs in your terminal, reads and edits code, executes shell commands, and plans multi-step tasks, with native MCP support for extending it to outside tools. In this guide, I will explain the easiest and most secure way to connect your Google cloud vision account to Kimi Code via Composio Connect, so it can bulk import product images from GCS CSV, list all Vision AI service locations, create a new product for image recognition, and more without ever putting your account credentials at risk.

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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 integrate Google cloud vision MCP with Kimi Code

Kimi Code is Moonshot AI's open-source coding agent, powered by Kimi K2.6. It runs in your terminal, reads and edits code, executes shell commands, and plans multi-step tasks, with native MCP support for extending it to outside tools.

In this guide, I will explain the easiest and most secure way to connect your Google cloud vision account to Kimi Code via Composio Connect, so it can bulk import product images from GCS CSV, list all Vision AI service locations, create a new product for image recognition, and more without ever putting your account credentials at risk.

Also integrate Google cloud vision with

ChatGPTAntigravityOpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenCodeCursorVS CodeOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

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.
  • Managed OAuth. You do not have to worry about authentication and authorization flows for every app.
  • Programmatic tool calling. Allows LLMs to write code in a remote workbench to handle complex tool chaining. This reduces back-and-forth for frequent tool calls.
  • 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.

Connect Google cloud vision to Kimi Code

Kimi Code is a TypeScript agent distributed through npm. It acts as an MCP client and reads server definitions from an mcp.json file, and it can also add and authenticate servers conversationally through /mcp-config. Composio is a remote HTTP server that authenticates with OAuth, so no API key is stored anywhere.

1. Install Kimi Code

The quickest way is the official install script, which requires no pre-installed Node.js and places the kimi executable on your PATH.

bash
# macOS or Linux
curl -fsSL https://code.kimi.com/kimi-code/install.sh | bash

# Windows PowerShell
irm https://code.kimi.com/kimi-code/install.ps1 | iex

# Confirm the installation
kimi --version

2. Log in

Start Kimi Code in your project directory, then sign in from the interactive UI:

bash
kimi

Run /login and choose Kimi Code OAuth using the device-code flow, or use a Moonshot API key.

3. Add Composio with /mcp-config

In current versions of Kimi Code, MCP servers are managed inside the app, not with a shell subcommand. From the interactive UI, run:

bash
/mcp-config
Kimi Code MCP config flow for adding the Composio MCP server

Tell it the server name and URL in plain language. For example:

Server name is Composio, and here is the server URL: https://connect.composio.dev/mcp

Kimi Code asks whether to add it globally, at ~/.kimi-code/mcp.json, or project-local for the current checkout, then writes the entry for you:

bash
{
  "mcpServers": {
    "Composio": {
      "url": "https://connect.composio.dev/mcp"
    }
  }
}

There is no transport field to set. Kimi Code infers HTTP from the url.

4. Restart the session

The new server is picked up on a fresh session, not the current one. Start a new session:

bash
/new

On the new session, Kimi Code detects that the server needs authorization and prompts you to run:

bash
/mcp-config login Composio

5. Authorize with OAuth

Run the command Kimi suggests:

bash
/mcp-config login composio

Kimi Code opens Composio's authorization page or surfaces a URL. Approve access, then return to the session. You should see confirmation that the Composio MCP server is connected.

Composio authorization page for Kimi Code MCP setup

Check the connection status any time with /mcp. Composio should appear as connected with its tools listed.

Kimi Code showing Composio connected after OAuth authorization

Connect your Google cloud vision account

Back in a Kimi Code session, 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 Kimi Code, and your Google cloud vision account is ready to use.

Conclusion

You have successfully connected Google cloud vision to Kimi Code using Composio Connect. Your agent can now manage Google cloud vision from the terminal with natural language, without exposing credentials in prompts or local scripts.

Since the same Composio endpoint exposes 1,000+ apps, you can add Slack, Calendar, Linear, and more to the same server and chain them into cross-app workflows.

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.

FRAMEWORKS

How to build Google cloud vision MCP Agent with another framework

ChatGPT logo

ChatGPT

Use Google cloud vision MCP with ChatGPT

Antigravity logo

Antigravity

Use Google cloud vision MCP with Antigravity

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Google cloud vision MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Google cloud vision MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Google cloud vision MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Google cloud vision MCP with Claude Cowork

Codex logo

Codex

Use Google cloud vision MCP with Codex

Cursor logo

Cursor

Use Google cloud vision MCP with Cursor

VS Code logo

VS Code

Use Google cloud vision MCP with VS Code

OpenCode logo

OpenCode

Use Google cloud vision MCP with OpenCode

OpenClaw logo

OpenClaw

Use Google cloud vision MCP with OpenClaw

Hermes logo

Hermes

Use Google cloud vision MCP with Hermes

CLI logo

CLI

Use Google cloud vision MCP with CLI

Google ADK logo

Google ADK

Use Google cloud vision MCP with Google ADK

LangChain logo

LangChain

Use Google cloud vision MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Google cloud vision MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Google cloud vision MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Google cloud vision MCP with LlamaIndex

CrewAI logo

CrewAI

Use Google cloud vision MCP with CrewAI

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. Kimi 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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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati
Harsha Gaddipati
Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya
Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave
Nirman Dave
CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu
Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola
Tomisin Jenrola
Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche
Jerome Leclanche
Co-Founder, Ingram Technologies