What is mcp-animaginexl CLAUDE.md?

Project instructions for an MCP server that generates images with Animagine XL 4.0 and exposes the same project through Claude tools and a web API. They describe installation, commands, testing, linting, Docker options, and the main server components.

Use them when developing, testing, linting, or deploying the Animagine image-generation server, its FastAPI interface, or its interactive command-line interface.

They tell an AI coding assistant how this repository is organised and how to run or verify it. They also document the available CPU and GPU deployment paths.

How gabrielalmir/mcp-animaginexl configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to gabrielalmir/mcp-animaginexl. 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/gabrielalmir/mcp-animaginexl/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/gabrielalmir/mcp-animaginexl

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/gabrielalmir/mcp-animaginexl/claude-md/github.svg)](https://agentmods.dev/instructions/gabrielalmir/mcp-animaginexl/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/gabrielalmir/mcp-animaginexl/claude-md"><img src="https://agentmods.dev/badge/instructions/gabrielalmir/mcp-animaginexl/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/gabrielalmir/mcp-animaginexl/claude-md"><img src="https://agentmods.dev/badge/instructions/gabrielalmir/mcp-animaginexl/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 846 This file is loaded in full into every session.

When invoked 846 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.

Model	Per session	Once invoked
Fable 5.1	$0.00846	$0.00846
Opus 5	$0.00423	$0.00423
Sonnet 5	$0.00169	$0.00169
Haiku 4.5	$0.00085	$0.00085

Measured 11d ago against content hash f227acdc17cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

mcp-animaginexl 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 11d 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 · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 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

FastMCP server for Animagine XL 4.0 image generation. Exposes prompt validation/optimization and image generation capabilities via both the MCP protocol (for AI agent integration) and a REST API.

Commands

Setup

python -m venv .venv
pip install -e ".[dev]"
pre-commit install

Running

animagine-mcp     # MCP server
animagine-api     # REST API (FastAPI on port 8000, docs at /docs)
animagine-repl    # Interactive REPL for local testing

Linting & Formatting

black src/
ruff check src/
ruff check --fix src/

Tests

pytest tests/
pytest tests/ --cov=src/animagine_mcp

Docker

docker-compose up -d                              # GPU (default)
docker-compose -f docker-compose.gpu.yml up -d   # Advanced GPU
docker-compose -f docker-compose.cpu.yml up -d   # CPU-only
docker-compose logs -f
docker-compose exec animagine-mcp bash

Architecture

The project has three entry points backed by shared internals:

server.py — FastMCP tool definitions (9 tools). This is the MCP interface.
api.py — FastAPI endpoints (11 routes). Same functionality over HTTP.
repl.py — Interactive CLI that wraps the same pipeline for local testing.

Core Modules

src/animagine_mcp/prompt/ — Prompt processing pipeline:

tokenizer.py: Splits prompt string into tags
classifier.py: Categorizes tags (quality, character, series, style, etc.)
validator.py: Enforces Animagine rules RULE-01 through RULE-07
optimizer.py: Reorders tags into canonical order, fills missing categories
explainer.py: Generates per-tag explanations

src/animagine_mcp/diffusion/ — Image generation:

pipeline.py: AnimaginePipeline class — singleton via get_pipeline(). Handles checkpoint loading, LoRA application, GPU/CPU rendering, and saves images with JSON metadata to outputs/. Dynamically discovers checkpoints from checkpoints/ and LoRAs from loras/.

Read the full file on GitHub · 89 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.

11d ago First seen · 89 lines · 846 tokens per session scan A f227acdc17cc

Subscribe to this mod's changes

mcp-animaginexl CLAUDE.md is an instructions file published in the GitHub repository gabrielalmir/mcp-animaginexl (0 stars, last pushed 4mo ago), licensed MIT. It adds 846 tokens to every session, about $0.0042 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 2026-08-31.

Building agents Creative and media animagine-xl fastmcp loras mcp mcp-server

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