Borrowing it
Nothing to install: this file belongs to takada-at/bq_mcp_server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/takada-at/bq_mcp_server/main/CLAUDE.mdgit clone --depth 1 https://github.com/takada-at/bq_mcp_serverWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/takada-at/bq_mcp_server/claude-md)<a href="https://agentmods.dev/instructions/takada-at/bq_mcp_server/claude-md"><img src="https://agentmods.dev/badge/instructions/takada-at/bq_mcp_server/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/takada-at/bq_mcp_server/claude-md"><img src="https://agentmods.dev/badge/instructions/takada-at/bq_mcp_server/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01424 | $0.01424 |
| Opus 5 | $0.00712 | $0.00712 |
| Sonnet 5 | $0.00285 | $0.00285 |
| Haiku 4.5 | $0.00142 | $0.00142 |
Grade A, and why
bq_mcp_server CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Development Commands
Testing
pytest- Run all testspytest tests/test_logic.py- Run specific test filepytest -k test_function_name- Run specific testpytest --cov=bq_mcp_server- Run tests with coverage reportpytest -v- Run tests with verbose output
Code Quality
ruff check- Run linting checksruff format- Format codelizard- Run cyclomatic complexity analysismypy bq_mcp_server/- Run type checking
Package Management
- Uses
uvfor dependency management uv sync- Install dependencies (including dev dependencies)uv add <package>- Add new dependencyuv add --dev <package>- Add development dependency
Scripts
python scripts/generate_env_example.py- Generate .env.example from config.py
Development Guidelines
Code Style Guidelines
- Models and Data Classes: Use Pydantic models or dataclasses for data structures (entities, DTOs, configurations)
- Logic Implementation: Write business logic as plain functions, not classes
- No Namespace Classes: Avoid classes that only serve as namespaces - use modules and functions instead
- Dependency Injection: Use function parameters for dependencies rather than class constructors
- Import Statements: Always place import statements at the top of the file (global scope), not inside functions or classes
High-Level Architecture
This is a BigQuery metadata API server that provides access to BigQuery dataset, table, and schema information through both REST API and MCP (Model Context Protocol) server interfaces.
Core Components
Domain Layer (bq_mcp_server/core/):
entities.py- Pydantic models for data structures (DatasetMetadata, TableMetadata, CachedData, QueryExecutionRequest, etc.)logic.py- Business logic for retrieving datasets and tables with cachingconverter.py- Converts data structures to markdown format for API responsesquery_parser.py- SQL query parsing and LIMIT clause manipulation with safety checks
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 129 lines · 1,424 tokens per session scan A 8dcc32eed7fa
bq_mcp_server CLAUDE.md is an instructions file published in the GitHub repository takada-at/bq_mcp_server (0 stars, last pushed 1y ago), licensed MIT. It adds 1,424 tokens to every session, about $0.0071 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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