Borrowing it
Nothing to install: this file belongs to lt012071/dam-firebase-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/lt012071/dam-firebase-mcp-server/main/CLAUDE.mdgit clone --depth 1 https://github.com/lt012071/dam-firebase-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/lt012071/dam-firebase-mcp-server/claude-md)<a href="https://agentmods.dev/instructions/lt012071/dam-firebase-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/lt012071/dam-firebase-mcp-server/claude-md.svg" alt="Measured on agentmods" 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 | $0.01760 | $0.01760 |
| Opus 5 | $0.00880 | $0.00880 |
| Sonnet 5 | $0.00352 | $0.00352 |
| Haiku 4.5 | $0.00176 | $0.00176 |
Grade A, and why
dam-firebase-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 7d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
プロジェクト概要
本プロジェクトは、Model Context Protocol (MCP) の公式仕様に完全準拠し、Python（FastMCP）を用いて、ClaudeなどのAIエージェントからFirebase（Firestore/FireStorage）に保存されたデータへ安全かつ効率的にアクセスできるMCPサーバーを構築することを目的とします。
仕様・要件
1. 開発方針
- 言語はPythonを使用
- MCP公式チュートリアル（Quickstart for Server Developers）のPython例に準拠
- MCP公式Python SDK（GitHub）を利用
- MCPサーバーの実装にはFastMCP（GitHub）を使用
- FastMCPの
transportプロトコル（stdio/http等）は起動時に選択可能なため、開発時は特に意識せず実装
2. ディレクトリ構成例
- MCP公式サーバーサンプル（sqlite、git）を参考に、
src/配下にサーバー本体（例：src/mcp_server_firebase/）- ルートに
main.pyやDockerfile、requirements.txt等を配置
3. Firestore/FireStorageへのアクセス
- 汎用的なMCPサーバーではなく、アクセス対象のコレクション名やバケット名はソースコード内で固定
- 必要に応じてアクセス範囲を制限し、セキュリティを担保
4. サービスアカウント認証
- Googleサービスアカウントの認証情報（JSONファイル）をMCPサーバー起動時の引数で指定し、それを用いてFirebase Admin SDKを初期化
- 例：
python main.py --google-credentials /path/to/service_account.json
5. MCPツール（API）
- Firestore/FireStorageのコレクション・バケットごとにツールを分割し、FastMCPの
@mcp.tool()で実装する。 - 各ツールは「filter条件を指定して検索」できるようにする。
- それぞれのコレクションで持っているカラムと型を下記に列挙し、filterの指定例も記載する。
Firestore
assetsコレクション
- カラムと型:
- id: string
- title: string
- description: string
- category: string
- tags: string[]
- uploader: string
- uploadedAt: string (ISO8601日時)
- updatedAt: string (ISO8601日時)
- visibility: 'public' | 'private'
- latestVersionId?: string
- ツール:
search_assets(filter: dict) -> list[dict]- filter例:
{ "category": "image", "tags": ["banner"], "visibility": "public", "uploadedAt": ">=2024-06-01" } - サポートする演算子例:
==,in,array-contains-any,>=,<=など
- filter例:
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.
- 7d ago First seen · 132 lines · 1,760 tokens per session scan A 60d671a89c6d
dam-firebase-mcp-server CLAUDE.md is an instructions file published in the GitHub repository lt012071/dam-firebase-mcp-server (0 stars, last pushed 1y ago), licensed MIT. It adds 1,760 tokens to every session, about $0.0088 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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