LucasHild_mcp-server-bigquery
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A Model Context Protocol server that provides access to BigQuery, enabling LLMs to inspect database schemas and execute queries.
The BigQuery MCP server is designed to facilitate interaction with Google's BigQuery service through a Model Context Protocol (MCP) interface. This server allows Language Model Machines (LLMs) to perform operations such as inspecting database schemas and executing SQL queries using the BigQuery dialect. It is particularly useful for applications that require dynamic data retrieval and manipulation from large datasets stored in BigQuery. The server can be configured with specific Google Cloud Platform (GCP) project IDs, locations, and datasets, providing flexibility in terms of the data scope it can access. This makes it an essential tool for developers and data scientists who need to integrate BigQuery capabilities into their applications seamlessly.
Features
- Execute SQL queries using BigQuery dialect.
- List all tables in the BigQuery database.
- Describe the schema of specific tables.
- Configurable with GCP project ID, location, and datasets.
- Supports dynamic data retrieval and manipulation.
Tools
execute-query
Executes a SQL query using BigQuery dialect.
list-tables
Lists all tables in the BigQuery database.
describe-table
Describes the schema of a specific table.
