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BigQuery Data Platform MCP Server

local only

BigQuery Data Platform runs on your own machine — the client starts it, so there is no endpoint to ping. 147 installs a week from pypi. Last commit 24 Oct 2026.

Read-only BigQuery tools for plain-language data questions, with a cost gate on every query

Installs per day peak 104 · avg 35 · -20% w/w
a month agotoday
147
Installs / week
pypi · data-platform-mcp
2
Stars
6 open issues
24 Oct 2026
Last commit
from GitHub
MIT
License
Python

What the code does

We read the source, 23 h ago · rules 995398eba69f

Evidence

Things with no honest explanation: a promise that contradicts the code, code that runs at install time while hiding what it does, data leaving the machine.

        return subprocess.call([bash, str(path), *args])
Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

        return subprocess.call([bash, str(path), *args])

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

We found things in this code

Code changes quietly between releases, and nobody reads the diff of a dependency. We do, on every release — watch BigQuery Data Platform and you get told the day something new turns up.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add data-platform-mcp -- uvx data-platform-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "data-platform-mcp": {
      "command": "uvx",
      "args": [
        "data-platform-mcp"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.data-platform-mcp]
command = "uvx"
args = ["data-platform-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "data-platform-mcp": {
      "command": "uvx",
      "args": [
        "data-platform-mcp"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "data-platform-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "data-platform-mcp"
      ]
    }
  }
}

Optional settings from the registry entry, left out of the block above: BQ_MCP_ENVIRONMENTS (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), BQ_MCP_DEFAULT_ENVIRONMENT (Environment used when a tool call omits the environment argument), BQ_MCP_CONFIG (Path to a TOML config file, overriding ~/.config/data-platform-mcp/config.toml), BQ_IMPERSONATE_SERVICE_ACCOUNT (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`), BQ_PROJECT (GCP project whose BigQuery datasets are queried. Falls back to the project associated with Application Default Credentials), BQ_LOCATION (BigQuery location for jobs and datasets. Defaults to US), BQ_CODE_ASSET_LOCATION (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), BQ_DATASET_ALLOWLIST (Comma-separated dataset IDs the server may read. Empty means all datasets), BQ_WARN_BYTES (Scan size above which a query is returned for user confirmation instead of run. Defaults to 1 GiB), BQ_MAX_BYTES_BILLED (Hard per-query scan cap; a query estimated above this never runs. Defaults to 5 GiB), BQ_MCP_AUDIT_LOG (Path for the JSONL tool-call audit log, or 'off' to disable it. SQL text is never recorded, only a hash and a length).

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BigQuery Data Platform — questions

Answers built from our own checks of this server.

Why is there no uptime for BigQuery Data Platform?
BigQuery Data Platform runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package data-platform-mcp was installed 147 times last week.
How do I connect BigQuery Data Platform?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls data-platform-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use BigQuery Data Platform?
The pypi package data-platform-mcp was installed 147 times in the last week. Week over week that is -20%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is BigQuery Data Platform open source?
Yes — it is published under the MIT licence, written in Python, 2 stars on GitHub and 6 open issues. The source link is on this page, so you can read exactly what it does with your data before you connect it.