Borrowing it
Nothing to install: this file belongs to colbyw5/openfda-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/colbyw5/openfda-mcp-server/main/AGENTS.mdgit clone --depth 1 https://github.com/colbyw5/openfda-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/colbyw5/openfda-mcp-server/agents-md)<a href="https://agentmods.dev/instructions/colbyw5/openfda-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/colbyw5/openfda-mcp-server/agents-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/colbyw5/openfda-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/colbyw5/openfda-mcp-server/agents-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 | $0.00467 | $0.00467 |
| Opus 5.5 | $0.00187 | $0.00187 |
| Sonnet 5.5 | $0.00093 | $0.00093 |
| Haiku 4.5 | $0.00047 | $0.00047 |
Grade A, and why
openfda-mcp-server AGENTS.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 1mo 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.
What it actually says
AGENTS.md
Operational notes for coding agents working in this repo.
Running the server
pixi run serve
# or, once installed:
openfda-mcp-server
Communicates over stdio — it's meant to be launched by an MCP client, not run standalone for interactive use.
Requires FDA_API_KEY in the environment or a .env file at the repo root (loaded automatically via python-dotenv). The server works without a key at a lower rate limit (1k req/hr vs 120k req/hr), so its absence won't break anything, just throttle it.
Launch gotcha: if the host that spawns this server doesn't set the working directory (e.g. Claude Desktop, which launches as a GUI process with no shell PATH/cwd), pixi run serve alone will fail to find pixi.toml. Use an absolute path to pixi plus --manifest-path instead of relying on cwd:
/opt/homebrew/bin/pixi run --manifest-path /abs/path/to/openfda-mcp-server/pixi.toml serve
Dev commands
pixi run test # pytest, offline (respx-mocked), integration tests excluded by default
pixi run lint # ruff check
pixi run fmt # ruff format
pixi run typecheck # pyright
Run all four after any code change; CI (.github/workflows/ci.yml) runs lint/typecheck/test on push and PR.
Layout
src/openfda_mcp_server/
├── client.py # FDAClient — async httpx wrapper around the openFDA REST API, retry/backoff, endpoint registry
├── server.py # FastMCP entry point, lifespan-managed FDAClient
└── tools.py # MCP tool definitions/handlers — this is where new search tools get added
Tool definitions and their docstrings (which the LLM sees as tool descriptions) live in tools.py. New openFDA endpoints need an entry in ENDPOINTS in client.py plus a corresponding @mcp_server.tool() function in tools.py.
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.
- 1mo ago First seen · 44 lines · 467 tokens per session scan A fde4dc19e529
openfda-mcp-server AGENTS.md is an instructions file published in the GitHub repository colbyw5/openfda-mcp-server (0 stars, last pushed 2mo ago), licensed MIT. It adds 467 tokens to every session, about $0.0019 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.