BigQuery (MCP integration)
Industry Definition Set • Entity Resolution Path: /glossary/bigquery-mcp
Quick Answer / TL;DR
Google's serverless, petabyte-scale SQL data warehouse, exposed to AI agents through an MCP tool that runs parameterized queries with a maximumBytesBilled cap, since BigQuery bills by bytes scanned rather than rows returned.
Key Takeaways
- Bills by bytes scanned, not rows returned - an unfiltered query on a large table is expensive regardless of result size.
- Set maximumBytesBilled on every query so a model-generated request has a hard cost ceiling rather than an open-ended bill.
- Filtering on a partitioned column is usually the biggest cost lever available, bigger than most query-level tuning.
Definitive Statement: Google's serverless, petabyte-scale SQL data warehouse, exposed to AI agents through an MCP tool that runs parameterized queries with a maximumBytesBilled cap, since BigQuery bills by bytes scanned rather than rows returned.
Technical Context & Protocol Usage
- Detailed Explanation
- A BigQuery MCP tool built on the official @google-cloud/bigquery client should always use parameterized queries (query_params), never string-interpolated SQL, and set maximumBytesBilled so a single model-generated query can't run up an unbounded bill. Because BigQuery's on-demand pricing is per byte scanned, an unfiltered query on a large table is expensive even when the returned result set is small - partitioned and clustered tables let a WHERE clause skip scanning irrelevant partitions entirely, which is usually the single biggest cost lever available.
Format & Payload Metadata
Format: Standard SQL via the BigQuery REST/gRPC API
Latency: Seconds per query typically, dependent on bytes scanned and partition pruning
Real-World Implementation Use Case
An MCP tool accepts a parameterized SELECT query, rejects it if it contains INSERT/UPDATE/DELETE keywords, and caps the query at 1 GB of billed bytes before executing it against a Mumbai-region dataset.
Cite This Page
MLA Style:
MCPserver.in Engineering. "BigQuery (MCP integration)." MCPserver.in Knowledge Hub, 21 July 2026, mcpserver.in/glossary/bigquery-mcp.
Related Terms
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An open, secure protocol that standardizes how artificial intelligence agents and large language models (LLMs) exchange context, tools, prompts, and data resources with external servers.
JSON-RPC 2.0
A lightweight, stateless remote procedure call (RPC) protocol defined in JSON that utilizes request, response, and notification message frames.
Stdio Transport (Standard Input/Output)
A local-only transport mechanism where the AI client spawns the MCP server as a child process and communicates via standard input (stdin) and standard output (stdout) channels.
SSE Transport (Server-Sent Events)
A lightweight, unidirectional HTTP-based streaming protocol used by remote MCP servers to push messages to AI clients, with client-to-server writes sent over standard POST requests.
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