io.github.SnowLeopard-AI/bigquery-mcp
PYPI · SL-BIGQUERY-MCP
A SnowLeopardAI-managed MCP server that provides access to Google BigQuery data.
Available components
Last scanned (8 hours ago)
Scores higher than 0% of PyPI servers
Category Databases
Recent critical change
CVE-2026-32871 affects this package (28 Jul 2026). See the changelog before you install this server.
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security75
- No malware found by supply-chain analysis.Pass
- CVE check failed: an unpatched critical CVE affects this package; the score is capped at 0. See how to fix → View diagnostics → Fail
- No install/post-install scripts declared.Pass
- 3 of 60 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 222 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability0
- Schema quality not yet verified: this package installed, but its server did not start, so we have no schema to assess.Unverified
Stability & Change Management0
- Stability not yet verified: this package installed, but its server did not start, so we have no schema to compare.Unverified
Tool Coverage0
- Tool coverage not yet verified: this package installed, but its server did not start, so we have no tool definitions to assess.Unverified
Tool Safety0
- Tool safety not yet verified: this package installed, but its server did not start, so we have no tool text to scan.Unverified
Capabilities0
- Protocol version not yet verified: this package installed, but its server did not start, so we never saw its MCP handshake.Unverified
Unverified: 5 categories
Categories scored 0 because our sandbox has not given us the schema these checks need to read. That is a gap on our side rather than a finding about the package, and we only credit what we can confirm, so the score stands at 0 until the capture succeeds. We are working through the fleet, so this normally clears without any action from you. How we score packages →
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 25 Oct 26 0
- Provenance: unverified → fail ▼ security
- 24 Oct 26 0
- Provenance: fail → unverified ▼ security
- 13 Oct 26 −28
- Known CVEs: unverified → fail ▼ critical
- Score status: scored → failed ▼ critical
- Dependency health: unverified → 0.96 ▲ functional
- 12 Oct 26 +28
- Known CVEs: fail → unverified ▼ security
- Dependency health: 0.96 → unverified ▼ functional
- Score status: failed → scored ▲ functional
- 2 Oct 26 0
- Malware scan: unverified → pass ▲ security
- 1 Oct 26 0
- Security disclosure: unverified → fail ▼ functional
- 30 Sept 26 0
- Malware scan: pass → unverified ▼ security
- Security disclosure: fail → unverified ▼ functional
- 28 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Analysed pypi/sl-bigquery-mcp@0.1.9
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
Vulnerabilities 14 findings
| ID | CVE | Severity | Vector | Fix available |
|---|---|---|---|---|
| GHSA-5h2m-4q8j-pqpj | CVE-2025-69196 | high | yes | |
| GHSA-c2jp-c369-7pvx | high | yes | ||
| GHSA-m8x7-r2rg-vh5g | CVE-2025-64340 | medium | CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H | yes |
| GHSA-mxxr-jv3v-6pgc | CVE-2025-62800 | medium | yes | |
| GHSA-rcfx-77hg-w2wv | high | yes | ||
| GHSA-rj5c-58rq-j5g5 | CVE-2025-62801 | medium | yes | |
| GHSA-rww4-4w9c-7733 | CVE-2026-27124 | high | yes | |
| GHSA-vv7q-7jx5-f767 | CVE-2026-32871 | critical | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H | yes |
| PYSEC-2026-1364 | CVE-2025-62800 | none | yes | |
| PYSEC-2026-1365 | CVE-2025-62801 | none | yes | |
| PYSEC-2026-2474 | CVE-2025-69196 | none | yes | |
| PYSEC-2026-2475 | CVE-2025-64340 | medium | CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H | yes |
| PYSEC-2026-2476 | CVE-2026-27124 | none | yes | |
| PYSEC-2026-338 | CVE-2026-32871 | critical | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H | yes |
Background: What a vulnerability scan can and cannot prove →
Dependencies 60 packages
| Packages resolved | 60 |
|---|---|
| Stale | 3 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
Tools for package channels are captured by running the package in an isolated sandbox. The most recent sandbox run could not capture a tool list from this package.
How do I install the io.github.SnowLeopard-AI/bigquery-mcp server?
io.github.SnowLeopard-AI/bigquery-mcp runs locally as a PyPI package, launched with uvx sl-bigquery-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · sl-bigquery-mcp
claude mcp add snowleopard-ai-bigquery-mcp -- uvx sl-bigquery-mcp
What is the io.github.SnowLeopard-AI/bigquery-mcp server?
io.github.SnowLeopard-AI/bigquery-mcp is listed in the public MCP registry as io.github.SnowLeopard-AI/bigquery-mcp. A SnowLeopardAI-managed MCP server that provides access to Google BigQuery data. This page covers its PyPI package (sl-bigquery-mcp).
Is the io.github.SnowLeopard-AI/bigquery-mcp server still maintained?
io.github.SnowLeopard-AI/bigquery-mcp is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.SnowLeopard-AI/bigquery-mcp server under?
io.github.SnowLeopard-AI/bigquery-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.