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Read-only BigQuery tools for plain-language data questions, with a cost gate on every query
BigQuery Data Platform is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 73/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding BigQuery Data Platform to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
uvx data-platform-mcp==0.4.0Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-09-22T02:42:16.465908Z",
"publishedAt": "2026-09-22T02:42:16.465908Z",
"statusChangedAt": "2026-09-22T02:42:16.465908Z"
}
},
"server": {
"name": "io.github.deBilla/data-platform-mcp",
"title": "BigQuery Data Platform",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.4.0",
"packages": [
{
"version": "0.4.0",
"transport": {
"type": "stdio"
},
"identifier": "data-platform-mcp",
"registryType": "pypi",
"environmentVariables": [
{
"name": "BQ_MCP_ENVIRONMENTS",
"description": "JSON map of environment name to BigQuery settings (project, location, impersonate, dataset_allowlist, byte caps). Omit when using a config file at ~/.config/data-platform-mcp/config.toml."
},
{
"name": "BQ_MCP_DEFAULT_ENVIRONMENT",
"description": "Environment used when a tool call omits the environment argument."
},
{
"name": "BQ_MCP_CONFIG",
"description": "Path to a TOML config file, overriding ~/.config/data-platform-mcp/config.toml."
},
{
"name": "BQ_IMPERSONATE_SERVICE_ACCOUNT",
"description": "Read-only service account to impersonate, making read-only a property of the identity rather than of this code. Create it with `data-platform-mcp setup`."
},
{
"name": "BQ_PROJECT",
"description": "GCP project whose BigQuery datasets are queried. Falls back to the project associated with Application Default Credentials."
},
{
"name": "BQ_LOCATION",
"description": "BigQuery location for jobs and datasets. Defaults to US."
},
{
"name": "BQ_CODE_ASSET_LOCATION",
"description": "Region holding BigQuery Studio notebooks and saved queries. Separate from BQ_LOCATION and usually different: code assets are regional and Dataform rejects multi-regions, so datasets in US typically pair with code assets in a region like us-central1. A wrong region returns an empty list rather than an error. Defaults to BQ_LOCATION."
},
{
"name": "BQ_DATASET_ALLOWLIST",
"description": "Comma-separated dataset IDs the server may read. Empty means all datasets."
},
{
"name": "BQ_WARN_BYTES",
"description": "Scan size above which a query is returned for user confirmation instead of run. Defaults to 1 GiB."
},
{
"name": "BQ_MAX_BYTES_BILLED",
"description": "Hard per-query scan cap; a query estimated above this never runs. Defaults to 5 GiB."
},
{
"name": "BQ_MCP_AUDIT_LOG",
"description": "Path for the JSONL tool-call audit log, or 'off' to disable it. SQL text is never recorded, only a hash and a length."
}
]
}
],
"repository": {
"url": "https://github.com/deBilla/bigquery-mcp",
"source": "github"
},
"websiteUrl": "https://debilla.github.io/bigquery-mcp/",
"description": "Read-only BigQuery tools for plain-language data questions, with a cost gate on every query"
}
}