Atlas / MCP servers / lucashild / BigQuery

BigQuerySAFE

mcp/lucashild/bigquery

A Model Context Protocol server that provides access to BigQuery

Verdict
SAFE
Grade
B
Trust score
89 /100
Exposed tools
3 2r · 1w · 0d
Transport
stdio
License
MIT
Stars
131
01

Overview

From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.

[](https://smithery.ai/server/mcp-server-bigquery)

A Model Context Protocol server that provides access to BigQuery. This server enables LLMs to inspect database schemas and execute queries.

Components

Tools

The server implements one tool:

  • 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

Configuration

The server can be configured either with command line arguments or environment variables.

Read from source at commit d1d0b48b1498OBSERVED · 2026-10-07
02

Connect

Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control. Replace the environment placeholders with a token scoped to the least it needs.

claude-code
claude mcp add mcp-server-bigquery --env BIGQUERY_KEY_FILE=${BIGQUERY_KEY_FILE} -- uvx mcp-server-bigquery
claude-desktop
{
  "mcpServers": {
    "mcp-server-bigquery": {
      "command": "uvx",
      "args": [
        "mcp-server-bigquery"
      ],
      "env": {
        "BIGQUERY_KEY_FILE": "${BIGQUERY_KEY_FILE}"
      }
    }
  }
}
03

Exposed tools (3)

2 read · 1 write · 0 destructive.

ToolRiskDescription
describe-tablereadGet the schema information for a specific table
execute-querywriteExecute a SELECT query on the BigQuery database
list-tablesreadList all tables in the BigQuery database
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-07 · audit v0.4.1 · source sha d1d0b48b1498full audit observations/trust-audit/mcp-server/lucashild__bigquery.json · Report an issue / request a re-scan
05

Audit history

Every audit this server has had. A grade with a past is a grade somebody is still checking.

DateSourceVerdictGradeScoreChange
2026-10-07d1d0b48b1498SAFEB89first audit
06

Questions

What is the BigQuery MCP server?

A Model Context Protocol server that provides access to BigQuery

What tools does BigQuery expose?

3 in total: 2 read-only, 1 that write, and 0 that can delete or overwrite. Every one is listed on this page with its risk.

Is BigQuery safe to connect to an agent?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean server reads B.

What credentials does BigQuery need?

It reads BIGQUERY_KEY_FILE from the environment. Give it a token scoped to the least it needs — an agent that can be talked into calling a tool can be talked into calling it with your credentials.

How does BigQuery run?

It speaks stdio, so it runs as a local process your client starts. It is published on PyPI as mcp-server-bigquery.

How current is this page?

The grade is for one exact copy of the source (d1d0b48b1498), read on 2026-10-07. The repository is watched and re-audited when it changes.

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