fda-mcp: Instructions file for Claude Code

CLAUDE.md

fda-mcp CLAUDE.md is an instructions file for Claude Code from Limecooler/fda-mcp. It costs 641 tokens per session, scanned A, original, MIT.

A repository instruction file for Claude Code, documenting an FDA data server, its layout, architecture, development commands, and tests. The server uses the OpenFDA API, a public service for searching U.S. Food and Drug Administration data.

In plain words
What is it for?
It helps Claude Code install dependencies, start the server, run unit or integration tests, and locate the main source files.
Why use it?
It gives the coding agent the project-specific context needed to run the right commands and follow the existing structure.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is Limecooler/fda-mcp's own configuration. It tells Claude Code how to work on fda-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything fda-mcp configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/Limecooler/fda-mcp/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/Limecooler/fda-mcp

Made for: Claude Code.

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Per session 641 This file is loaded in full into every session.
When invoked 641 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 2mo ago against content hash 3f8fc2d4b214, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

CLAUDE.md · 63 lines

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: mcp with FastMCP decorator API
  • HTTP Client: httpx (async)
  • PDF Extraction: pdfplumber + pytesseract/pdf2image OCR 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)

Read the full file on GitHub · 63 lines

Changes

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.

  1. 2mo ago First seen · 63 lines · 641 tokens per session scan A 3f8fc2d4b214

Subscribe to this mod's changes

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.

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