Connect your account, then chat with AI to run tools.
Google BigQuery data warehouse integration. Run SQL queries, manage datasets and tables, and analyze large-scale data directly through AI assistants.
Live probe refreshed Sep 14, 2026 · Endpoint host bigquery.googleapis.com
List Dataset Ids
List BigQuery dataset IDs and BigLake namespaces in a Google Cloud project. Supports pagination. Use `page_size` to limit results and `page_token` to retrieve next page.
Get Dataset Info
Get metadata information about a BigQuery dataset or BigLake namespace.
Connect Google BigQuery MCP to any MCP client in minutes
Operate Google BigQuery? You can take over the listing's metadata.
Take over this listing's metadata — name, description, category, logo, website, contact email, and skill content. Verification is a 6-digit code we email to one of the maintainer addresses your server already publishes in /.well-known/security.txt or /.well-known/mcpbundles.json. Free, takes about a minute.
Connect straight to this server’s public endpoint.
https://bigquery.googleapis.com/mcpThis server needs a sign-in. MCPBundles handles that setup once — then chat here with saved access and a log of what ran.
Opens MCPBundles Studio with this server selected. After sign-in, chat and run tools from the same thread.
Browse all toolsList Table Ids
List table ids in a BigQuery dataset or BigLake namespace. Supports pagination. Use `page_size` to limit results and `page_token` to retrieve next page.
Get Table Info
Get metadata information about a BigQuery table or BigLake table.
Execute Sql Readonly
Run a read-only SQL query in the project and return the result. Prefer this tool over `execute_sql` if possible. This tool is restricted to only `SELECT` statements. `INSERT`, `UPDATE`, and `DELETE` statements and stored procedures aren't allowed. If the query doesn't include a `SELECT` statement, an error is returned. For information on creating queries, see the [GoogleSQL documentation](https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax). Example Queries: ```sql --
Execute Sql
Run a SQL query in the project and return the result. Prefer the `execute_sql_readonly` tool if possible. This tool can execute any query that bigquery supports including: * SQL Queries (`SELECT`, `INSERT`, `UPDATE`, `DELETE`, `CREATE`, etc.) * AI/ML functions like `AI.FORECAST`, `ML.EVALUATE`, `ML.PREDICT` * Any other query that bigquery supports. Example Queries: ```sql -- Insert data into a table. INSERT INTO `my_project.my_dataset`.my_table (name, age) VALUES ('Alice', 30); -- Create a
Get Query Results
Get the results of a BigQuery SQL query job. Use this tool ONLY when: 1. A previous `execute_sql` or `execute_sql_readonly` call returned `job_complete: false` with a `job_id` (poll with this tool until `job_complete: true`), OR 2. You need to paginate through additional rows using `page_token` or `start_index` for a previously completed job. Do NOT call this tool if the query already returned `job_complete: true` with all rows. Supports pagination. Use `max_results` to limit results and `
Cancel Job
Cancel a running BigQuery job. Use this tool to cancel a query job that is currently executing (i.e. returned `job_complete: false` with a `job_id` from `execute_sql` or `execute_sql_readonly`). Specify the `job_id` to abort.
Google BigQuery data warehouse integration. Run SQL queries, manage datasets and tables, and analyze large-scale data directly through AI assistants. It provides MCP tools that your client discovers when it connects (this page may not list every tool name) that AI agents can use through the Model Context Protocol (MCP).
Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/google-bigquery-mcp. Authentication is handled automatically.
Google BigQuery MCP is a remote MCP server. The live tool list is supplied by the server when your MCP client connects, so the count is not fixed on this public page. After you connect in MCPBundles Studio or your client, you will see the tools your session can call.
Google BigQuery MCP uses One-click sign in. Google BigQuery MCP requires credentials. Connect via MCPBundles and authentication is handled automatically.
© 2026 ThinkChain Inc. All rights reserved.
MCPBundles is an independent platform built on the open Model Context Protocol standard. Not affiliated with Anthropic PBC or Claude.
Other MCP servers in this category from the directory index
Fastly is an edge cloud platform designed to accelerate delivery of content and applications by cach...
8 toolsCisco Meraki provides cloud-managed IT solutions that include wireless, switching, security, and dev...
20 toolsAI email assistant that unifies Gmail, Outlook, Yahoo, and IMAP. Auto-filters noise, drafts replies ...
As a cloud computing services pioneer, we deliver proven multicloud solutions across your apps, data...
This server enables querying of major data platforms like BigQuery, Snowflake, Redshift, and Azure S...