Google Cloud Functions MCP server

Connect Google Cloud Functions to Claude, ChatGPT, Cursor, Claude Code, Codex, Gemini, GitHub Copilot and any other MCP client, for your whole team. Metorial adds security, governance, and tracing, and gives everyone one Magic MCP URL to connect.

What you can do with the Google Cloud Functions MCP server

Ask your agent in plain language. Each of these maps to a real tool on the server.

  • Use the get function tool in Google Cloud Functions
  • Use the list functions tool in Google Cloud Functions
  • Use the list runtimes tool in Google Cloud Functions
  • Use the delete function tool in Google Cloud Functions
  • Use the generate download url tool in Google Cloud Functions
  • Use the update function tool in Google Cloud Functions

How teams use Google Cloud Functions with agents

Cloud Functions runs small pieces of code on demand. The integration lets an agent list and inspect functions, deploy updates from source, and manage who can invoke them.

Inventory

List functions with their runtimes and triggers across a project.

Deploy an update

Generate an upload URL, upload new source and update the function.

Check operations

Follow a deployment operation until it finishes or fails.

Invoke permissions

Review and change the IAM policy that controls who can call a function.

Tools to start with

  • Update Function: Deploys new source or configuration.
  • Generate Upload URL: Signed URL for source uploads.
  • Manage IAM Policy: Invoker and admin bindings.

Sign-in and permissions

Cloud Functions accepts a service account JSON key or Google OAuth. Deploying needs the Cloud Functions Developer role, plus permission to act as the function’s runtime service account.

Sign-in options on Metorial: Service Account JSON Key, Google OAuth.

Supported Tools

get_function

Get Function

Retrieve full details of a specific Cloud Function including its build configuration, service configuration, event trigger settings, state, and deployment URL. Use a short function name or a fully qualified resource name.

list_functions

List Functions

List Cloud Functions in a Google Cloud project. Returns a summary of each function including its state, runtime, URL, and labels. Supports filtering and pagination, and can query across all regions or a specific region.

list_runtimes

List Runtimes

List available runtime environments for Cloud Functions, including their lifecycle status (supported, deprecated, decommissioned). Useful for choosing a runtime when creating or updating functions.

delete_function

Delete Function

Permanently delete a Cloud Function. This removes the function and all its associated resources. Returns a long-running operation that can be polled for completion.

generate_download_url

Generate Download URL

Generate a signed URL for downloading the source code of a deployed Cloud Function. The URL is time-limited and can be used to retrieve the function's source archive.

update_function

Update Function

Update an existing Cloud Function's configuration. Modify runtime settings, memory, timeout, environment variables, labels, description, scaling limits, ingress/egress settings, and more. Only the fields you provide will be updated. Returns a long-running operation.

generate_upload_url

Generate Upload URL

Generate a signed URL for uploading function source code to Cloud Storage. The returned URL and storage source should be used when creating or updating a function. Upload your source code archive (ZIP) to the signed URL before referencing it in a create or update call.

get_operation

Get Operation

Check the status of a long-running operation such as function creation, update, or deletion. Provides the current state and any error or success details.

create_function

Create Function

Create and deploy a new Cloud Function. Configure the runtime, entry point, source code location, memory, timeout, environment variables, and event triggers. Source code must be uploaded to a Cloud Storage bucket or referenced from a Cloud Source Repository. Returns a long-running operation that can be polled for completion.

manage_iam_policy

Manage IAM Policy

Get or set the IAM policy for a Cloud Function. Use this to control who can invoke the function or manage its configuration. To make a function publicly accessible, grant the **roles/run.invoker** role to **allUsers**.

Connect Google Cloud Functions to your AI client

Every client uses the same Magic MCP URL, and so does any other MCP client. Add it once and sign in with SSO.

  1. Enable Google Cloud Functions in Metorial. In your Metorial portal, enable the Google Cloud Functions MCP server and sign in with the account that owns the data. Access stays governed by your team policies.
  2. Add a custom connector. Open Customize, then Connectors. Select Add, then Custom, then Web.
  3. Paste your Metorial MCP URL. Name it Metorial, paste your Magic MCP URL (<your-magic-mcp-url>) and continue.
  4. Sign in. Select Add and sign in to load Google Cloud Functions tools.

Run Google Cloud Functions through the Metorial gateway

One governed layer for every app your agents reach, not a separate connector per tool.

  • Give Google Cloud Functions and every other app to your whole team through one MCP gateway, behind your SSO.
  • Scope which teams and agents can use Google Cloud Functions tools with role-based access control, and trace every call.
  • Prefer to run it yourself? Metorial is open source and self-hostable.

More integrations teams use with Google Cloud Functions

Google Sheets

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.

GitHub

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.

Salesforce

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.

Sharepoint

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.

Airtable

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.

Google Drive

Upload, download, create, copy, move, rename, trash, and permanently delete files and folders in Google Drive. Search for files using complex queries filtering by name, MIME type, owner, modification date, labels, and other metadata. Share files and folders with specific users, groups, or domains with role-based permissions (owner, writer, commenter, reader). Manage shared drives and their members. Export Google Workspace files (Docs, Sheets, Slides) to standard formats like PDF, DOCX, and XLSX. Track file revision history and restore earlier versions. Create, read, update, and delete threaded comments and replies on files. Read label definitions and search files by label. Browse the Drive apps installed for your account. Store app-specific data in a hidden per-user folder.

Technical notes for Google Cloud Functions

Manage serverless cloud functions on Google Cloud. Create, update, deploy, list, and delete functions triggered by HTTP requests or cloud events. Configure runtimes (Node.js, Python, Go, Java, .NET, Ruby), event triggers (Cloud Storage, Pub/Sub, Firestore), memory, timeouts, and environment variables. Upload and download function source code via signed URLs. Invoke deployed HTTP functions. Manage function upgrades from 1st gen to 2nd gen. List available runtimes and monitor long-running deployment operations. Configure ingress/egress networking, secret environment variables, and authentication settings for function invocation.

Frequently asked questions

Common questions about connecting Google Cloud Functions to AI agents with Metorial.

  1. How many tools does the Google Cloud Functions MCP server have?
    The Google Cloud Functions MCP server exposes 10 tools, including Get Function, List Functions, List Runtimes. Each one is governed and traced through Metorial.
  2. Google Cloud Functions exposes tools your agents call on demand; it does not publish event triggers yet. Everything still runs through one governed MCP URL.
  3. Any MCP client, including VS Code, Windsurf, Zed, OpenCode and Grok. Each one reaches the Google Cloud Functions MCP server through the same Metorial URL.
  4. Use role-based access control to decide which teams, users, and agents can use Google Cloud Functions and which of its tools they can call.
  5. Yes. Metorial is open source, so you can run the Google Cloud Functions MCP server yourself or use the hosted gateway.

Connect Google Cloud Functions to production AI agents

See how Metorial gives your team governed access to Google Cloud Functions, with tracing and security controls built in.