Tools Overview: bigquery.googleapis.com

Get MCP tool specifications

To get the MCP tool specifications for all tools in an MCP server, use the tools/list method. The following example demonstrates how to use curl to list all tools and their specifications currently available within the MCP server.

Curl Request
curl --location 'https://bigquery.googleapis.com/mcp' \ --header 'content-type: application/json' \ --header 'accept: application/json, text/event-stream' \ --data '{ "method": "tools/list", "jsonrpc": "2.0", "id": 1 }'

Curl Request

  
curl  
--location  
 'https://bigquery.googleapis.com/mcp' 
  
 \ 
--header  
 'content-type: application/json' 
  
 \ 
--header  
 'accept: application/json, text/event-stream' 
  
 \ 
--data  
 '{ 
 "method": "tools/list", 
 "jsonrpc": "2.0", 
 "id": 1 
 }'

MCP Tools
list_dataset_ids	List BigQuery dataset IDs in a Google Cloud project.
get_dataset_info	Get metadata information about a BigQuery dataset.
list_table_ids	List table ids in a BigQuery dataset.
get_table_info	Get metadata information about a BigQuery table.
execute_sql	Run a SQL query in the project and return the result. 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 . The `execute_sql` tool can also have side effects if the the query invokes remote functions or Python UDFs . All queries that are run using the `execute_sql` tool have a label that identifies the tool as the source. You can use this label to filter the queries using the label and value pair `goog-mcp-server: true` . Queries are charged to the project specified in the `project_id` field.

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Get MCP tool specifications

Tools Overview: bigquery.googleapis.com