Borrowing it
Nothing to install: this file belongs to Limecooler/fda-mcp. 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/Limecooler/fda-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/Limecooler/fda-mcpWrote 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/limecooler/fda-mcp/claude-md)<a href="https://agentmods.dev/instructions/limecooler/fda-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/limecooler/fda-mcp/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/limecooler/fda-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/limecooler/fda-mcp/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 | $0.00641 | $0.00641 |
| Opus 5.5 | $0.00256 | $0.00256 |
| Sonnet 5.5 | $0.00128 | $0.00128 |
| Haiku 4.5 | $0.00064 | $0.00064 |
Grade A, and why
fda-mcp 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 2mo 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 — 63 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.
Project Overview
FDA MCP — an MCP server providing access to FDA data via the OpenFDA API. Wraps all 21 OpenFDA endpoints plus FDA decision document retrieval into 12 MCP tools optimized for LLM consumption.
Development Commands
- Install dependencies:
uv sync --all-extras - Run server:
uv run fda-mcp - Run unit tests:
uv run pytest - Run integration tests (hits real FDA API):
uv run pytest -m integration - Run specific test file:
uv run pytest tests/test_endpoints.py -v
Architecture
- Language: Python 3.11+, async throughout
- MCP SDK:
mcpwith FastMCP decorator API - HTTP Client:
httpx(async) - PDF Extraction:
pdfplumber+pytesseract/pdf2imageOCR fallback - Transport: stdio (standard for Claude Desktop / Claude Code)
Source Layout
src/fda_mcp/
├── server.py -- FastMCP server entry point
├── config.py -- Environment-based configuration
├── errors.py -- Custom error types
├── openfda/ -- OpenFDA API client layer
│ ├── endpoints.py -- Enum of all 21 endpoints
│ ├── client.py -- Async HTTP client with rate limiting
│ └── summarizer.py -- Response summarization per endpoint
├── documents/ -- FDA decision document retrieval
│ ├── urls.py -- URL pattern construction
│ └── fetcher.py -- PDF download + text extraction
├── tools/ -- 12 MCP tool handlers
│ ├── search.py -- 9 search tools
│ ├── count.py -- count_records tool
│ ├── fields.py -- list_searchable_fields tool
│ └── decision_documents.py
└── resources/ -- 3 MCP resources
├── query_syntax.py
├── endpoints_resource.py
└── field_definitions.py
Configuration
OPENFDA_API_KEY— optional API key for higher rate limits (240 req/min vs 40)OPENFDA_TIMEOUT— request timeout in seconds (default: 30)OPENFDA_MAX_CONCURRENT— max concurrent API requests (default: 4)FDA_PDF_TIMEOUT— PDF download timeout in seconds (default: 60)FDA_PDF_MAX_LENGTH— default max text chars from PDFs (default: 8000)
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.
- 2mo ago First seen · 63 lines · 641 tokens per session scan A 3f8fc2d4b214
fda-mcp CLAUDE.md is an instructions file published in the GitHub repository Limecooler/fda-mcp (1 stars, last pushed 8mo ago), licensed MIT. It adds 641 tokens to every session, about $0.0026 per session on Opus 5.5. 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.
fda-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| fda-mcp CLAUDE.mdLimecooler/fda-mcp | Instructions file | 1 | 8mo ago | MIT | A | 641 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
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| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |