Google Cloud tools for AI agents

Call Google Cloud's API on your own Google Cloud account. Connect it once in the Relvo app; Relvo adds its credentials and charges no usage fee.

Try Google Cloud now

Compose the request, copy the prompt, and run it in your agent. It runs on your connected Google Cloud account.

Prompt composerMarkdown
Google Cloud
Open Relvo
Try asking

Supported Google Cloud tools

Every Google Cloud endpoint Relvo can call on your connected account, with no Relvo usage fee.

667 tools
RPC to list projects to which the user has been granted any project rolegoogle_cloud__projects_listGoogle Cloudyour accountCreates a new empty datasetgoogle_cloud__datasets_insertGoogle Cloudyour accountLists all datasets in the specified project to which the user has been granted the READER dataset rolegoogle_cloud__datasets_listGoogle Cloudyour accountDeletes the dataset specified by the datasetId valuegoogle_cloud__datasets_deleteGoogle Cloudyour accountReturns the dataset specified by datasetIDgoogle_cloud__datasets_getGoogle Cloudyour accountUpdates information in an existing datasetgoogle_cloud__datasets_patchGoogle Cloudyour accountUpdates information in an existing datasetgoogle_cloud__datasets_updateGoogle Cloudyour accountLists all models in the specified datasetgoogle_cloud__models_listGoogle Cloudyour accountDeletes the model specified by modelId from the datasetgoogle_cloud__models_deleteGoogle Cloudyour accountGets the specified model resource by model IDgoogle_cloud__models_getGoogle Cloudyour accountPatch specific fields in the specified modelgoogle_cloud__models_patchGoogle Cloudyour accountCreates a new routine in the datasetgoogle_cloud__routines_insertGoogle Cloudyour accountLists all routines in the specified datasetgoogle_cloud__routines_listGoogle Cloudyour accountDeletes the routine specified by routineId from the datasetgoogle_cloud__routines_deleteGoogle Cloudyour accountGets the specified routine resource by routine IDgoogle_cloud__routines_getGoogle Cloudyour accountUpdates information in an existing routinegoogle_cloud__routines_updateGoogle Cloudyour accountGets the access control policy for a resourcegoogle_cloud__routines_get_iam_policyGoogle Cloudyour accountSets the access control policy on the specified resourcegoogle_cloud__routines_set_iam_policyGoogle Cloudyour accountReturns permissions that a caller has on the specified resourcegoogle_cloud__routines_test_iam_permissionsGoogle Cloudyour accountCreates a new, empty table in the datasetgoogle_cloud__tables_insertGoogle Cloudyour accountLists all tables in the specified datasetgoogle_cloud__tables_listGoogle Cloudyour accountDeletes the table specified by tableId from the datasetgoogle_cloud__tables_deleteGoogle Cloudyour accountGets the specified table resource by table IDgoogle_cloud__tables_getGoogle Cloudyour accountUpdates information in an existing tablegoogle_cloud__tables_patchGoogle Cloudyour accountUpdates information in an existing tablegoogle_cloud__tables_updateGoogle Cloudyour accountList the content of a table in rowsgoogle_cloud__tabledata_listGoogle Cloudyour accountStreams data into BigQuery one record at a time without needing to run a load jobgoogle_cloud__tabledata_insert_allGoogle Cloudyour accountCreates a row access policygoogle_cloud__row_access_policies_insertGoogle Cloudyour accountLists all row access policies on the specified tablegoogle_cloud__row_access_policies_listGoogle Cloudyour accountDeletes a row access policygoogle_cloud__row_access_policies_deleteGoogle Cloudyour account

Set up Relvo for Google Cloud

Pick the client you use, then pick a route: Automatic is that client's own link, command or prompt, and Manual is the same install done by hand. Both end at the same OAuth sign-in, with every tool on the Google Cloud shelf behind one connector.

Automatic way

Open the plugin page with the details ready.

ChatGPT takes custom MCP servers as plugins. The button opens the right page; copy the name and URL into the form and authorise once.

  1. Add a custom MCP server

    On the plugins page, click + and choose Add custom MCP server.

  2. Fill in the connection

    NameRelvo
    Connectionhttps://app.relvo.si/mcp
  3. Authorise and create

    Pick OAuth, tick the confirmation and click Create as a plugin. Approve Relvo in the browser window ChatGPT opens.

  4. Ask for the right tool

    PROMPT
    Using Relvo, find the right Google Cloud tool to list the content of a table in rows and run it on my Google Cloud connection. Return Google Cloud's response as it comes back.

    The client picks the matching operations and runs them on your connected account.

Custom MCP servers are set up in ChatGPT on the web, not in the mobile app. Connect once and every chat can call Relvo.

Manual way

Set it up from ChatGPT's settings.

The same connector, reached through the settings menu instead of the plugin page.

  1. Open Apps & Connectors

    In ChatGPT, open Settings → Apps & Connectors and create a new custom connector.

  2. Name it Relvo

    NameRelvo
  3. Point it at Relvo

    Connectionhttps://app.relvo.si/mcp
  4. Authenticate

    Choose OAuth, continue, and approve Relvo in the browser. ChatGPT saves the connector to your account.

  5. Ask for the right tool

    PROMPT
    Using Relvo, find the right Google Cloud tool to list the content of a table in rows and run it on my Google Cloud connection. Return Google Cloud's response as it comes back.

    The agent picks the matching operations, runs them on your connection, then relays the provider's response verbatim.

All 667 Google Cloud operations run on your connected Google Cloud account. Relvo charges no usage fee; Google Cloud may bill that account on its own plan.

Automatic way

One link fills in the dialog.

On a desktop browser this opens Claude's Add custom connector form with Relvo's name and MCP URL already in place. Click Add and sign in — there is nothing to type.

  1. Open the dialog

    Click the button above in the browser where you are signed in to Claude. Customize → Connectors opens with the custom-connector form ready.

  2. Add and authorise

    Click Add, then choose Sign in now under Authentication. Relvo signs you in over OAuth, so no token or API key is pasted into Claude.

  3. Ask for the right tool

    PROMPT
    Using Relvo, find the right Google Cloud tool to list the content of a table in rows and run it on my Google Cloud connection. Return Google Cloud's response as it comes back.

    The client picks the matching operations and runs them on your connected account.

Manual way

The same connector, typed by hand.

Use this on a phone, in a locked-down workspace, or whenever you would rather add the connector through Claude's own menu.

  1. Open Connectors

    In Claude, go to Customize → Connectors and choose + Add → Add custom connector.

  2. Name the connector

    NameRelvo
  3. Paste the MCP URL

    Server URLhttps://app.relvo.si/mcp
  4. Sign in

    Click Add, choose Sign in now under Authentication, and approve Relvo in the OAuth window. The Relvo tools appear under the connector.

  5. Ask for the right tool

    PROMPT
    Using Relvo, find the right Google Cloud tool to list the content of a table in rows and run it on my Google Cloud connection. Return Google Cloud's response as it comes back.

    The agent picks the matching operations, runs them on your connection, then relays the provider's response verbatim.

All 667 Google Cloud operations run on your connected Google Cloud account. Relvo charges no usage fee; Google Cloud may bill that account on its own plan.

Automatic way

One command, then one sign-in.

The CLI registers Relvo with HTTP transport and writes it into your Claude Code config; authentication happens in the browser.

  1. Run the command

    BASH
    claude mcp add --transport http relvo https://app.relvo.si/mcp
  2. Authenticate once

    Open a session and run /mcp. Choose Relvo → Authenticate; Claude Code opens Relvo's OAuth page and stores the token for the project.

  3. Check the list

    BASH
    claude mcp list

    Relvo shows as connected, with every catalog tool behind it.

  4. Ask for the right tool

    PROMPT
    Using Relvo, find the right Google Cloud tool to list the content of a table in rows and run it on my Google Cloud connection. Return Google Cloud's response as it comes back.

    The client picks the matching operations and runs them on your connected account.

The command uses local scope by default. Add --scope user to make Relvo available in every project, or --scope project to share it through the repository.

Manual way

Write it into .mcp.json.

Project scope lives in a file, so the whole team gets Relvo without running a command.

  1. Add the server

    JSON · .mcp.json
    {
      "mcpServers": {
        "relvo": {
          "type": "http",
          "url": "https://app.relvo.si/mcp"
        }
      }
    }

    Create .mcp.json in the project root and add relvo as an HTTP server.

  2. Reload and sign in

    Start a Claude Code session, run /mcp, choose Relvo → Authenticate, then reload. The tools are available in that project.

  3. Ask for the right tool

    PROMPT
    Using Relvo, find the right Google Cloud tool to list the content of a table in rows and run it on my Google Cloud connection. Return Google Cloud's response as it comes back.

    The agent picks the matching operations, runs them on your connection, then relays the provider's response verbatim.

The same entry works for every project when it is added at user scope instead of project scope. All 667 Google Cloud operations run on your connected Google Cloud account. Relvo charges no usage fee; Google Cloud may bill that account on its own plan.

Automatic way

Hand the setup to Hermes.

Hermes can edit its own config, so one instruction is enough: it writes Relvo into mcp_servers, reloads, and reports the tools it can now call.

  1. Copy the setup prompt

    PROMPT
    Add Relvo as a remote MCP server named "relvo": url https://app.relvo.si/mcp, auth oauth. Follow https://app.relvo.si/SKILL.md, reload MCP, then list the Relvo tools.
  2. Paste it into a Hermes session

    Hermes adds the remote server to ~/.hermes/config.yaml and reloads its MCP connections.

  3. Approve the sign-in

    Open the OAuth link Hermes prints and approve Relvo once. The token is cached, so later sessions do not ask again.

  4. Ask for the right tool

    PROMPT
    Using Relvo, find the right Google Cloud tool to list the content of a table in rows and run it on my Google Cloud connection. Return Google Cloud's response as it comes back.

    The client picks the matching operations and runs them on your connected account.

Manual way

Add it to ~/.hermes/config.yaml.

Two settings and one reload — the same entry Hermes would write itself.

  1. Open the config

    Edit ~/.hermes/config.yaml, the file Hermes reads at start-up.

  2. Add the server

    YAML
    mcp_servers:
      Relvo:
        url: https://app.relvo.si/mcp
        auth: oauth
  3. Reload and sign in

    In a session, run /reload-mcp, then approve the OAuth prompt Hermes shows. Tokens are cached under ~/.hermes/mcp-tokens/.

  4. Ask for the right tool

    PROMPT
    Using Relvo, find the right Google Cloud tool to list the content of a table in rows and run it on my Google Cloud connection. Return Google Cloud's response as it comes back.

    The agent picks the matching operations, runs them on your connection, then relays the provider's response verbatim.

All 667 Google Cloud operations run on your connected Google Cloud account. Relvo charges no usage fee; Google Cloud may bill that account on its own plan.

Automatic way

Hand the install to Cursor.

The button opens Cursor's MCP install dialog with the server name and URL already attached.

  1. Open the install prompt

    Click the button on the machine where Cursor is installed. Cursor receives a server named relvo pointing at https://app.relvo.si/mcp.

  2. Install and authenticate

    Confirm the install, then click Authenticate. Cursor completes Relvo's OAuth in the browser.

  3. Ask for the right tool

    PROMPT
    Using Relvo, find the right Google Cloud tool to list the content of a table in rows and run it on my Google Cloud connection. Return Google Cloud's response as it comes back.

    The client picks the matching operations and runs them on your connected account.

The install link opens Cursor directly, so it does nothing in a browser that has never installed the editor.

Manual way

Edit ~/.cursor/mcp.json.

Use the global or the project file when you want the entry under your own control.

  1. Open the MCP config

    Edit ~/.cursor/mcp.json for every project, or .cursor/mcp.json inside the repository for one.

  2. Add Relvo

    JSON
    {
      "mcpServers": {
        "relvo": {
          "url": "https://app.relvo.si/mcp"
        }
      }
    }
  3. Reload Cursor

    Save the file and reload the window. Relvo appears in the MCP panel, and Authenticate finishes the sign-in.

  4. Ask for the right tool

    PROMPT
    Using Relvo, find the right Google Cloud tool to list the content of a table in rows and run it on my Google Cloud connection. Return Google Cloud's response as it comes back.

    The agent picks the matching operations, runs them on your connection, then relays the provider's response verbatim.

All 667 Google Cloud operations run on your connected Google Cloud account. Relvo charges no usage fee; Google Cloud may bill that account on its own plan.

Automatic way

Ask the Bot to wire it up.

Grok Bot configures connections from the conversation, so the quickest route is a single instruction with Relvo's address.

  1. Copy the setup prompt

    PROMPT
    Add a custom MCP server called relvo at https://app.relvo.si/mcp with OAuth sign-in, then list the Relvo tools.
  2. Paste it into a Bot chat

    The Bot repeats the server name and URL and asks you to confirm. Check them and select Add it.

  3. Authorise

    Select Authorize on the card the Bot sends and approve Relvo in the browser once. The Bot can then call the catalog from any chat.

  4. Ask for the right tool

    PROMPT
    Using Relvo, find the right Google Cloud tool to list the content of a table in rows and run it on my Google Cloud connection. Return Google Cloud's response as it comes back.

    The client picks the matching operations and runs them on your connected account.

Manual way

Name the server yourself in the chat.

Grok Bot's settings have no field for a server URL; custom MCP servers are added from the conversation.

  1. Describe the server

    NameRelvo
    Server URLhttps://app.relvo.si/mcp

    Ask the Bot to add a custom server with this name and URL. Say custom server, or it may offer a catalog plugin instead.

  2. Confirm

    The Bot repeats the name and URL. Check that the URL is https://app.relvo.si/mcp, then select Add it.

  3. Authorise

    Select Authorize on the card the Bot sends, sign in and allow access. The Relvo tools appear once you are signed in.

  4. Ask for the right tool

    PROMPT
    Using Relvo, find the right Google Cloud tool to list the content of a table in rows and run it on my Google Cloud connection. Return Google Cloud's response as it comes back.

    The agent picks the matching operations, runs them on your connection, then relays the provider's response verbatim.

All 667 Google Cloud operations run on your connected Google Cloud account. Relvo charges no usage fee; Google Cloud may bill that account on its own plan.

Frequently asked questions

Short answers about the key, the price and the call itself.

Give your agent Google Cloud and 147,361 tools

One token reaches your Google Cloud account and every catalog tool. Start free.