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Connect Google Cloud Functions to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Give your agent a single, secure way to run serverless code.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Google Cloud Functions.

  1. 01

    Invoke function

    Triggers the specific Google Cloud Function you have configured. Use this to run remote business logic or heavy processing tasks.

Real work

What teams actually run

01

Heavy Data Processing

The agent sends a large dataset to a function to perform complex transformations.

02

Proprietary API Access

Your agent calls an internal API through a function to keep credentials and logic isolated.

03

Image and File Manipulation

The agent triggers a function to resize or convert files stored in your cloud.

04

Complex Mathematical Modeling

The agent offloads intensive calculations to a serverless environment.

Automate a task

Put Google Cloud Functions to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Google Cloud Functions works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Google Cloud Functions to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

804ms average. Fast in production.

Google Cloud Functions is checked daily against the live service.

Daily averagePeak 1254ms
Oct 3Today
Fastest day
671ms
Slowest day
1254ms
14-day trend
Slowing+12%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Google Cloud Functions, so you can see the experience inside your AI.

It does not authenticate your account with Google Cloud Functions. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Google Cloud Functions Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_ot6QbSG45dUkURNWnf6YGaSHZvntFNxbPzDeJA49/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Google Cloud Functions capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "google-cloud-functions-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ot6QbSG45dUkURNWnf6YGaSHZvntFNxbPzDeJA49/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Google Cloud Functions in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Google Cloud Functions owners hand off.

This is for developers and engineers who need to extend their AI agents with specialized, secure cloud capabilities.

  • 01

    Cloud Engineers

    They hand off heavy backend processing to the agent via a secure endpoint.

  • 02

    Data Scientists

    They use the MCP to trigger complex mathematical models or data transformations.

  • 03

    DevOps Specialists

    They provide controlled, single-function access to automate specific cloud tasks.

FAQ

Questions Google Cloud Functions owners ask.

  • 01

    Can this MCP access all my Google Cloud functions?

    No. This MCP is designed to be surgical. It only allows your agent to invoke the specific function you have configured.

  • 02

    Is it safe to give my AI agent access to my cloud?

    Yes, because this MCP strips away global permissions. It restricts the agent to a single endpoint, preventing it from modifying code or accessing other resources.

  • 03

    Does the agent have to wait for the function to finish?

    Yes. The execution is synchronous, meaning the agent waits for the compute payload to finish before it continues.

  • 04

    What happens if the function takes too long?

    If the function exceeds its timeout settings, the invocation will return a timeout error to your agent.

  • 05

    Which AI clients can I use with this?

    You can use any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 06

    Why limit the agent to a single Cloud Function?

    To enforce zero-trust security. An autonomous AI agent should not have the ability to execute arbitrary serverless functions (like wiping a database or sending mass emails) across your cloud infrastructure.

  • 07

    How are responses handled?

    The MCP will automatically parse valid JSON responses returned by the Cloud Function. If the function returns an error or a timeout, the execution ID and the specific error string will be returned to the agent.

  • 08

    Can it invoke Gen 2 Cloud Functions?

    Yes! The capability uses the standard Google Cloud Functions REST API (:call endpoint), which is compatible with both 1st gen and 2nd gen functions, provided the IAM Service Account has the roles/cloudfunctions.invoker permission.

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