nucleotide_archive_mcp: Instructions file for Codex

AGENTS.md

nucleotide_archive_mcp AGENTS.md is an instructions file for Codex, OpenCode from biocontext-ai/nucleotide_archive_mcp. It costs 487 tokens per session, scanned A, original, Apache-2.0.

Repository instructions for the nucleotide-archive-mcp project, which searches RNA-sequencing datasets in the European Nucleotide Archive.

In plain words
What is it for?
Use them when developing, testing, or reviewing this MCP server and its dataset, metadata, publication, and download-script tools.
Why use it?
They give developers the project's architecture, main APIs, code layout, and testing details needed to change it safely.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is biocontext-ai/nucleotide_archive_mcp's own configuration. It tells Codex and OpenCode how to work on nucleotide_archive_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 nucleotide_archive_mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to biocontext-ai/nucleotide_archive_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/biocontext-ai/nucleotide_archive_mcp/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/biocontext-ai/nucleotide_archive_mcp

Made for: Codex, OpenCode.

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Per session 487 This file is loaded in full into every session.
When invoked 487 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 $0.00487 $0.00487
Opus 5.5 $0.00195 $0.00195
Sonnet 5.5 $0.00097 $0.00097
Haiku 4.5 $0.00049 $0.00049

Measured 2mo ago against content hash 3212360ae3f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nucleotide_archive_mcp 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 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.

AGENTS.md · 39 lines

How it starts

The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Developer Guide

Project Overview

This is an MCP (Model Context Protocol) server that provides access to RNA sequencing datasets from the European Nucleotide Archive (ENA). The goal is to help researchers find publicly available bulk and single-cell RNA-seq datasets for validating hypotheses or reproducing published analyses.

Architecture

Framework: FastMCP - provides the MCP server infrastructure and tool registration APIs Used:

  • ENA Portal API (www.ebi.ac.uk/ena/portal/api) - for searching studies and retrieving metadata
  • ENA Browser API (www.ebi.ac.uk/ena/browser/api) - for detailed study summaries and publication links
  • Europe PMC API (www.ebi.ac.uk/europepmc/webservices/rest) - for retrieving detailed publication metadata

HTTP Client: httpx (async) Data Validation: Pydantic v2

Code Organization

This is a standard Python package with src/ layout. Tools are decorated with @mcp.tool and automatically registered. When testing wrapped tools, access the underlying function with .fn attribute.

The server exposes ~10 tools for searching studies, retrieving metadata, finding publications, and generating download scripts. Each tool follows ENA's controlled vocabularies for library strategies and sources.

Key Concepts

Study Accessions: Projects have multiple formats (SRP/ERP/DRP or PRJNA/PRJEB/PRJDB). Both work interchangeably.

Library Strategies: 50+ types (RNA-Seq, ChIP-Seq, ATAC-seq, miRNA-Seq, etc.). Pre-defined presets exist for common use cases (bulk, single-cell, etc.).

Publications: Studies link to PubMed IDs via ENA Browser API. Europe PMC enriches this with full metadata including ORCID IDs, citations, and full-text links.

Testing Philosophy

This project uses pytest with async support. Write clean, minimal tests with simple assertions. No verbose output, no boilerplate main functions. Test files live alongside source code and use proper package imports - never manipulate sys.path.

Code Style

Read the full file on GitHub · 39 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 · 39 lines · 487 tokens per session scan A 3212360ae3f4

Subscribe to this mod's changes

nucleotide_archive_mcp AGENTS.md is an instructions file published in the GitHub repository biocontext-ai/nucleotide_archive_mcp (1 stars, last pushed 8mo ago), licensed Apache-2.0. It adds 487 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.

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