A2A-MCP-RealEstate: Instructions file for Claude Code

CLAUDE.md

A2A-MCP-RealEstate CLAUDE.md is an instructions file for Claude Code from gum798/A2A-MCP-RealEstate. It costs 1,537 tokens per session, scanned A, original, MIT.

Development instructions for a Python FastAPI application that lets software agents communicate and coordinate through services. They describe the project structure, dependency setup, server commands, tests, and formatting tools.

In plain words
What is it for?
Use them to install dependencies, start the development or production server, run tests, and format the application code.
Why use it?
They give a coding agent the commands and file locations needed to work on the repository without guessing how it runs. FastAPI is a Python framework for building web APIs.

Instructions file for Claude Code

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

This is gum798/A2A-MCP-RealEstate's own configuration. It tells Claude Code how to work on A2A-MCP-RealEstate 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 A2A-MCP-RealEstate configures →

Reuse

Borrowing it

Nothing to install: this file belongs to gum798/A2A-MCP-RealEstate. 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/gum798/A2A-MCP-RealEstate/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/gum798/A2A-MCP-RealEstate

Made for: Claude Code.

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Per session 1,537 This file is loaded in full into every session.
When invoked 1,537 The same file — it is already loaded in full.
Security scan A 1 finding. 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 $0.01537 $0.01537
Opus 5 $0.00768 $0.00768
Sonnet 5 $0.00307 $0.00307
Haiku 4.5 $0.00154 $0.00154

Measured 11d ago against content hash 20c290ea474a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

A2A-MCP-RealEstate CLAUDE.md scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -X POST http://localhost:28000/api/ai/chat \
CLAUDE.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 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

A2A (Application-to-Application) Agent for inter-service communication. This Python FastAPI application provides a framework for agents to communicate with each other, exchange data, and coordinate activities.

Development Commands

# Install dependencies
pip install -r requirements.txt

# Start development server with auto-reload
uvicorn app.main:app --reload --host 0.0.0.0 --port 8000

# Start production server
uvicorn app.main:app --host 0.0.0.0 --port 8000

# Alternative using pyproject.toml scripts
python -m pip install -e .
python -m app.main  # or use the configured scripts

# Run tests (when pytest is configured)
pytest

# Format code (if black/flake8 are added)
black app/
flake8 app/

Project Structure

app/
├── agent/              # Core A2A agent implementation
│   ├── __init__.py
│   └── a2a_agent.py   # Main agent class with async communication
├── routes/            # FastAPI route handlers
│   ├── __init__.py
│   ├── agent_routes.py # Agent communication endpoints  
│   └── data_routes.py  # Sample data endpoints
├── data/              # Sample data and generators
│   ├── __init__.py
│   └── sample_data.py # Korean sample data with generators
├── utils/             # Utility modules
│   ├── __init__.py
│   ├── config.py      # Pydantic settings management
│   └── logger.py      # Loguru-based logging
└── main.py            # FastAPI application entry point

Architecture

Core Components

  1. A2AAgent Class (app/agent/a2a_agent.py): Async agent implementation

    • HTTP client-based communication with other agents
    • Pydantic models for message validation
    • Connection management and message queuing
    • Sample data generation and handling
  2. FastAPI Routes:

    • /api/agent/* - Agent communication (handshake, messages, connections)
    • /api/data/* - Sample data endpoints (users, orders, products, system, metrics)
    • /health - Health check endpoint
    • /docs - Auto-generated OpenAPI documentation

Read the full file on GitHub · 188 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. 11d ago First seen · 188 lines · 1,537 tokens per session scan A 20c290ea474a

Subscribe to this mod's changes

A2A-MCP-RealEstate CLAUDE.md is an instructions file published in the GitHub repository gum798/A2A-MCP-RealEstate (4 stars, last pushed 1y ago), licensed MIT. It adds 1,537 tokens to every session, about $0.0077 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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