Who it is for
Data analysts and engineers querying an existing BigQuery project.
AI Connectors · Data & Analytics
BigQuery dataset discovery and SQL execution, published by Google
Overview
BigQuery is Google Cloud's analytical warehouse, and this connector comes from Google itself. It follows the path an analyst takes anyway: find the datasets in a project, read a dataset's metadata, list its tables, read a table's schema, then run SQL against it. Features the listing points at beyond ordinary aggregation, forecasting among them, are reached through SQL rather than through dedicated tools, so what the connector adds is access rather than new analysis. Connecting requires a Google Cloud project and credentials carrying the relevant BigQuery permissions, since every call is scoped to a project. It carries the partner tier.
Data analysts and engineers querying an existing BigQuery project.
Six tools answered, one more than the listing claims: four metadata reads walking from list_dataset_ids down to get_table_info, then two query paths, execute_sql_readonly and execute_sql, whose own descriptions tell the caller to prefer the read-only one.
Availability
Google Cloud BigQuery is listed in the Claude connectors directory only. Google has no app under the same domain in the ChatGPT directory; 392 of the 3,150 products here are on both marketplaces, and this is not one of them.
The MCP server behind a Claude connector is usually the same server a ChatGPT app would need, so the absence is a distribution decision rather than a technical one.
Claude listing
Google Cloud BigQuery publishes 5 tools to Claude, a deliberately narrow surface; only 22.3% of the 1,253 Claude-listed connectors expose fewer.
The median Claude-listed connector filed under Data & Analytics publishes 12, so this one sits 7 tools below its bucket's median, 151st of 198.
It falls in the 4-6 tools band, which holds 16.2% of the Claude directory.
A direct call to the endpoint returned 6 tools, 1 more than the 5 the listing publishes. Probed 2026-08-07.
list_dataset_idsget_dataset_infolist_table_idsget_table_infoexecute_sql_readonlyexecute_sqlGoogle Cloud BigQuery publishes a remote MCP endpoint. Claude connects to it over HTTP; there is nothing to install locally.
Every connector in the Claude directory is remote, all 1,253 of them, so transport is not a differentiator there.
https://bigquery.googleapis.com/mcp Google Cloud BigQuery carries partner verification in the Claude directory, which 474 of 1,253 listings do (37.8%). That is a review step past self-publishing, not an Anthropic-built server.
In the publisher's words
Integrate analytical data into your agent workflows to achieve superior business results. By connecting your agents with BigQuery, you can provide actionable insights directly to them. Move past standard analytics and utilize BigQuery's advanced features, such as forecasting, to generate higher-value intelligence.
Quoted from the connector's own Claude directory listing as captured in August 2026. Node8 did not write it and does not vouch for it.
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This is an independent catalogue entry compiled by Node8 from Google Cloud BigQuery's public marketplace listing as it stood in August 2026. Listing facts come from the marketplaces; the comparisons against the rest of the directory and any live-endpoint measurements are Node8's. Node8 is not affiliated with Google, and inclusion here is not an endorsement.
Node8 builds MCP servers end to end: deciding which tools are worth exposing, the authentication and permission model, the review submissions, and the onboarding that gets them used. One server serves ChatGPT, Claude, and Microsoft Copilot.