AACT_clinicaltrials_MCP: Instructions file for Claude Code

CLAUDE.md

AACT_clinicaltrials_MCP CLAUDE.md is an instructions file for Claude Code from navisbio/AACT_clinicaltrials_MCP. It costs 530 tokens per session, scanned A, original, MIT.

Project instructions for an MCP server that gives AI assistants read-only access to AACT, a database built from ClinicalTrials.gov clinical-trial records. It provides tools for listing tables, describing table structure, and running read-only queries.

In plain words
What is it for?
Use it to start the server, inspect available database tables, understand their columns, run permitted queries, and test or type-check the project.
Why use it?
It provides a defined way to inspect clinical-trial data without allowing database-changing queries.

Instructions file for Claude Code

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

This is navisbio/AACT_clinicaltrials_MCP's own configuration. It tells Claude Code how to work on AACT_clinicaltrials_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 AACT_clinicaltrials_MCP configures →

Reuse

Borrowing it

Nothing to install: this file belongs to navisbio/AACT_clinicaltrials_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/navisbio/AACT_clinicaltrials_MCP/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/navisbio/AACT_clinicaltrials_MCP

Made for: Claude Code.

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Per session 530 This file is loaded in full into every session.
When invoked 530 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 $0.00530 $0.00530
Opus 5 $0.00265 $0.00265
Sonnet 5 $0.00106 $0.00106
Haiku 4.5 $0.00053 $0.00053

Measured 10d ago against content hash 830b91e2b96a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

AACT_clinicaltrials_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 10d 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 · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 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

MCP (Model Context Protocol) server that gives AI assistants read-only access to the AACT clinical trials database (ClinicalTrials.gov). It exposes three tools: list_tables, describe_table, and read_query over the FastMCP framework, connecting to a remote PostgreSQL database.

Commands

# Run the server
uv run mcp-server-aact

# Run tests
uv run pytest

# Type checking
uv run pyright src/

# Install dependencies (including dev)
uv sync

# Docker build and run
docker build -t mcp-server-aact .
docker run --rm -i --env DB_USER=X --env DB_PASSWORD=Y mcp-server-aact

Architecture

Three source files in src/, each with a single responsibility:

  • server.py — FastMCP server definition and tool handlers. Loads .env at startup, creates the AACTDatabase instance and the FastMCP app. All tool handlers are async and use Context for structured logging/progress.
  • database.pyAACTDatabase class wrapping psycopg2. Connects to aact-db.ctti-clinicaltrials.org, schema ctgov. Validates that queries are SELECT/SHOW/DESCRIBE only and enforces row limits. Fails hard if DB_USER/DB_PASSWORD env vars are missing.
  • models.py — Pydantic models (TableInfo, ColumnInfo, QueryResult) used as tool return types.

Entry point: src/__init__.py exports main() which calls mcp.run().

Key Design Decisions

  • Read-only enforcement: Query validation in both server.py (SELECT prefix check) and database.py (additional validation + rollback after every query).
  • Fail-hard: No silent defaults for missing config. Missing credentials raise immediately.
  • Row limiting: Default 25 rows per query, configurable via max_rows parameter.
  • Remote database: Connects directly to AACT's hosted PostgreSQL — no local DB setup needed. Users register at https://aact.ctti-clinicaltrials.org for credentials.

Read the full file on GitHub · 51 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. 10d ago First seen · 51 lines · 530 tokens per session scan A 830b91e2b96a

Subscribe to this mod's changes

AACT_clinicaltrials_MCP CLAUDE.md is an instructions file published in the GitHub repository navisbio/AACT_clinicaltrials_MCP (20 stars, last pushed 6mo ago), licensed MIT. It adds 530 tokens to every session, about $0.0027 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 2026-08-30.

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