How to connect Google BigQuery to Muse

Connect Muse to Google BigQuery MCP. Run yesterday's sales summary query, find top 10 customers by revenue, and more using natural language, with authentication handled for you.

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Google BigQuery is a fully managed cloud data warehouse for fast SQL analytics on massive datasets. It's designed to help you analyze big data with ease, speed, and built-in machine learning.

63 Tools

Introduction

Muse is Meta's AI assistant. It can connect to outside tools through custom connectors, which use the Model Context Protocol (MCP).

This guide explains how to connect Google BigQuery to Muse using Composio Connect, which handles OAuth, token refresh, and reliability so you do not have to. You add Composio as a custom connector once, then ask Muse to work with Google BigQuery in plain language.

Also integrate Google BigQuery with

Why use Composio?

  • Cross-app workflows across 1,500+ apps from a single plugin layer.
  • On-demand tool loading so Muse only loads the tools needed for the current task.
  • Programmatic tool calling through a remote workbench for complex, multi-step workflows.
  • Multi-account support so users can connect and switch between multiple accounts for the same app.
  • Shared account access so teams or agents can work through common business accounts and service connections.
  • Managed authentication with OAuth handling, credential storage, and token refresh managed by Composio.
  • Safer credential handling so app credentials stay outside the model context and tool responses.
  • User-level account isolation so actions run against the correct connected account instead of mixing user access.

Connecting Google BigQuery to Muse

You add Composio to Muse once as a custom connector, then connect Google BigQuery from the chat.

1. Ask Muse to connect to Composio

Start a new Muse chat and send this message. Muse builds the connector and shows a button to add your API key.

bash
Create a Custom Connector for the Composio remote MCP server and connect to it:
- Name: Composio
- Transport: remote streamable HTTP
- URL: https://connect.composio.dev/mcp
- Auth: API key sent in the x-consumer-api-key header
Open the secure credentials store so I can enter the API key there, not in this chat. Then list its tools to confirm the connection works.

2. Copy your API key

Open the Muse page in your Composio dashboard and copy your API key. It starts with ck_.

Don't paste it into the chat. It goes in Muse's secure credentials store in the next step.

3. Add your API key in the secure credentials store

Tap the button Muse shows to open Add custom connector, paste your API key, then tap Add. Muse lists the Composio tools once it connects.

Muse secure credentials store with the connect.composio.dev URL, an API Key field, and the Add button

4. Connect your Google BigQuery account

Back in the chat, ask Muse to connect to Google BigQuery or give it any Google BigQuery task.

For example, ask it to:

  • "Run yesterday's sales summary query"
  • "Find top 10 customers by revenue"
  • "Analyze traffic data for last quarter"

It will prompt you to authenticate and authorize access.

That's it. Composio's tools are now available in Muse, and your Google BigQuery account is ready to use.

What is the Google BigQuery MCP server, and what's possible with it?

The Google BigQuery MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Google BigQuery account. It provides structured and secure access to your projects, datasets, tables, jobs, routines, and machine learning models, so your agent can organize data, inspect schemas, load records, run query jobs, and retrieve results on your behalf.

  • Dataset and table management: Have your agent create, inspect, update, list, or delete datasets and tables, and restore deleted datasets within their recovery window.
  • Schema and row inspection: Let the agent fetch table schemas, metadata, and stored rows to understand the structure and contents of your data.
  • Data loading and ingestion: Direct your agent to stream individual records into tables or start load jobs with uploaded files.
  • Query and job operations: Instruct your agent to start query, load, extract, or copy jobs, check their status, list recent jobs, and retrieve query results.
  • Routines, models, and data listings: Have your agent create routines and Analytics Hub listings, or list, update, and delete BigQuery ML models.

Way Forward

Now that Google BigQuery is connected, extend your setup by connecting the other apps you already use every day, so Muse 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.

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

Troubleshooting

1. Why doesn't Muse show a button to add my API key?

Muse shows the button only when you ask it to open the secure credentials store.

  • Start a new chat.
  • Send the message from step 1 exactly as written.
  • If Muse asks for the key in the chat, do not paste it. Ask Muse to open the secure credentials store.

2. Why does the Composio connection fail after I add my API key?

The key or the connector settings are not correct.

  • Copy the full key from the Composio dashboard. It starts with ck_.
  • Make sure the URL is https://connect.composio.dev/mcp and the header is x-consumer-api-key.
  • Remove the Composio connector in Muse settings, then do steps 1 to 3 again.

3. Why doesn't Muse use the Composio tools for Google BigQuery?

Muse may not pick the Composio connector for the request.

  • Ask Muse to list its Composio tools.
  • Name Composio and Google BigQuery in your request, for example: Use Composio to connect to Google BigQuery.
  • If it still does not work, start a new chat and try again.

4. Why does Muse ask me to connect Google BigQuery again?

Your Google BigQuery connection expired or was removed.

  • Open the link Muse gives you and sign in to Google BigQuery again.
  • Check that the Google BigQuery connection shows as ACTIVE in the Composio dashboard.

5. What do I do if I pasted my API key into the chat?

Treat the key as exposed.

  • Create a new API key in the Composio dashboard and delete the old one.
  • Add the new key in Muse's secure credentials store, not in the chat.
TOOLS

Supported Tools

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

Cancel BigQuery Job

Tool to cancel a running BigQuery job.

Create Capacity Commitment

Tool to create a new capacity commitment resource in BigQuery Reservation.

Create BigQuery Connection

Tool to create a new BigQuery connection to external data sources using the BigQuery Connection API.

Create Analytics Hub Data Exchange

Tool to create a new Analytics Hub data exchange for sharing BigQuery datasets.

Create Analytics Hub Listing

Tool to create a new listing in a BigQuery Analytics Hub data exchange.

Create BigQuery Dataset

Tool to create a new BigQuery dataset with explicit location, labels, and description using the BigQuery Datasets API.

Create Analytics Hub Listing

Tool to create a new listing in a data exchange using Analytics Hub API.

Create BigQuery Data Policy (v2beta1)

Tool to create a new data policy under a project with specified location using the v2beta1 BigQuery Data Policy API.

Create Analytics Hub Query Template

Tool to create a new query template in a BigQuery Analytics Hub Data Clean Room (DCR) data exchange.

Create BigQuery Reservation

Tool to create a new BigQuery reservation resource to guarantee compute capacity (slots) for query and pipeline jobs.

Create BigQuery Reservation Assignment

Tool to create a BigQuery reservation assignment that allows a project, folder, or organization to submit jobs using slots from a specified reservation.

Create BigQuery Routine

Tool to create a new user-defined routine (function or procedure) in a BigQuery dataset.

Create BigQuery Table

Tool to create a new, empty table in a BigQuery dataset.

Delete BigQuery Dataset

Tool to delete a BigQuery dataset specified by datasetId via the datasets.

Delete BigQuery Job Metadata

Tool to delete the metadata of a BigQuery job.

Delete BigQuery ML Model

Tool to delete a BigQuery ML model from a dataset.

Delete BigQuery Routine

Tool to delete a BigQuery routine by its ID.

Delete BigQuery Table

Tool to delete a BigQuery table from a dataset.

Get BigQuery ML Model

Tool to retrieve a specific BigQuery ML model resource by model ID.

Get BigQuery Connection IAM Policy

Tool to get the IAM access control policy for a BigQuery connection resource.

Get BigQuery Dataset Metadata

Tool to retrieve BigQuery dataset metadata including location via the datasets.

Get BigQuery Job

Tool to retrieve information about a specific BigQuery job.

Get BigQuery Query Results

Tool to get the results of a BigQuery query job via RPC.

Get BigQuery Routine

Tool to retrieve a BigQuery routine (user-defined function or stored procedure) by its ID.

Get BigQuery Routine IAM Policy

Tool to retrieve the IAM access control policy for a BigQuery routine resource.

Get BigQuery Service Account

Tool to get the service account for a project used for interactions with Google Cloud KMS.

Get BigQuery Table IAM Policy

Tool to retrieve the IAM access control policy for a BigQuery table resource.

Get BigQuery Table Schema

Tool to fetch a BigQuery table's schema and metadata without querying row data.

Insert Data into BigQuery Table

Tool to stream data into BigQuery one record at a time without running a load job.

Insert BigQuery Job

Tool to start a new asynchronous BigQuery job (query, load, extract, or copy).

Insert BigQuery Job with Upload

Tool to start a new BigQuery load job with file upload.

List Analytics Hub Listings

Tool to list all listings in a given Analytics Hub data exchange.

List BigQuery Connections

Tool to list BigQuery connections in a given project and location.

List BigQuery Capacity Commitments

Tool to list all capacity commitments for the admin project.

List Data Exchange Listings

Tool to list all listings in a given Analytics Hub data exchange using the v1beta1 API.

List BigQuery Datasets

Tool to list datasets in a specific BigQuery project, including dataset locations.

List BigQuery Jobs

Tool to list all jobs that you started in a BigQuery project.

List BigQuery Data Transfer Locations

Tool to list information about supported locations for BigQuery Data Transfer Service.

List Connections in Location

Tool to list BigQuery connections in a given project and location using the v1beta1 API.

List BigQuery Location Data Policies

Tool to list all data policies in a specified parent project and location using the v2beta1 API.

List BigQuery Models

Tool to list all BigQuery ML models in a specified dataset.

List Organization Data Exchanges

Tool to list all data exchanges from projects in a given organization and location using Analytics Hub API.

List BigQuery Projects

Tool to list BigQuery projects to which the user has been granted any project role.

List Analytics Hub Query Templates

Tool to list all query templates in a given Analytics Hub data exchange.

List BigQuery Reservation Assignments

Tool to list BigQuery reservation assignments.

List BigQuery Reservation Groups

Tool to list all BigQuery reservation groups for a project in a specified location.

List BigQuery Reservations

Tool to list all BigQuery reservations for a project in a specified location.

List BigQuery Routines

Tool to list all routines (user-defined functions and stored procedures) in a BigQuery dataset.

List BigQuery Row Access Policies

Tool to list all row access policies on a specified BigQuery table.

List BigQuery Table Data

Tool to list the content of a BigQuery table in rows via the REST API.

List BigQuery Tables

Tool to list tables in a BigQuery dataset via the REST API.

Patch BigQuery Dataset

Tool to update an existing BigQuery dataset using RFC5789 PATCH semantics.

Patch BigQuery ML Model

Tool to update specific fields in an existing BigQuery ML model using PATCH semantics.

Patch BigQuery Table

Tool to update specific fields in an existing BigQuery table using RFC5789 PATCH semantics.

Query

Query Tool runs a SQL query in BigQuery using the REST API.

Search All BigQuery Reservation Assignments

Tool to search all BigQuery reservation assignments for a specified resource in a particular region.

Set BigQuery Routine IAM Policy

Tool to set the IAM access control policy for a BigQuery routine resource.

Test BigQuery Routine IAM Permissions

Tool to test which IAM permissions the caller has on a BigQuery routine.

Undelete BigQuery Dataset

Tool to undelete a BigQuery dataset within the time travel window.

Update BigQuery Connection

Tool to update a specified BigQuery connection using the BigQuery Connection API.

Update BigQuery Dataset

Tool to update information in an existing BigQuery dataset using the PUT method.

Update BigQuery Routine

Tool to update an existing BigQuery routine (function or stored procedure).

Update BigQuery Table

Tool to update an existing BigQuery table.

FAQ

Frequently asked questions

Yes. Muse supports custom connectors that use the Model Context Protocol (MCP). Composio connects as one custom connector over remote streamable HTTP at https://connect.composio.dev/mcp, and gives Muse access to Google BigQuery and 1,500+ other apps.

Copy it from the Composio dashboard. It starts with ck_. Enter it only in Muse's secure credentials store, never in the chat.

Yes. Composio supports multiple connected accounts for the same app. Give each Google BigQuery connection a name, such as work or personal, and tell Muse which one to use.

Tokens, keys, and configuration are encrypted at rest and in transit. Your Composio API key stays in Muse's secure credentials store, not in the chat or the model context. Composio is SOC 2 Type 2 compliant.

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