How do I use real-estate-sustainability-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@real-estate-sustainability-mcp Analyze the LEED score from the building's PDF report" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

real-estate-sustainability-mcp

by l4b4r4b4b4

Overview Schema Related Servers Score Discussions

Python

Hybrid

Real Estate Sustainability Analysis MCP

MCP server for analyzing building sustainability metrics through Excel, PDF, and standardized frameworks (ESG, LEED, BREEAM, DGNB) with IFC integration

Built with FastMCP and mcp-refcache for efficient handling of large data in AI agent tools.

Features

✅ Reference-Based Caching - Return references instead of large data, reducing context window usage
✅ Preview Generation - Automatic previews for large results (sample, truncate, paginate strategies)
✅ Pagination - Navigate large datasets without loading everything at once
✅ Access Control - Separate user and agent permissions for sensitive data
✅ Private Computation - Let agents compute with values they cannot see
✅ Docker Ready - Production-ready containers with Python slim base image
✅ GitHub Actions - CI/CD with PyPI publishing and GHCR containers
✅ Langfuse Tracing - Built-in observability integration
✅ Type-Safe - Full type hints with Pydantic models
✅ Testing Ready - pytest with 73% coverage requirement
✅ Pre-commit Hooks - Ruff formatting and linting

Related MCP server: Code-Oracle

Quick Start

Prerequisites

Python 3.12+
uv (recommended) or pip

Installation

# Clone the repository
git clone https://github.com/l4b4r4b4b4/real-estate-sustainability-mcp
cd real-estate-sustainability-mcp

# Install dependencies
uv sync

# Run the server (stdio mode for Claude Desktop)
uv run real-estate-sustainability-mcp

# Run the server (SSE/HTTP mode for deployment)
uv run real-estate-sustainability-mcp --transport sse --port 8000

Install from PyPI

# Run directly with uvx (no install needed)
uvx real-estate-sustainability-mcp stdio

# Or install globally
uv tool install real-estate-sustainability-mcp
real-estate-sustainability-mcp --help

Docker Deployment

# Pull and run from GHCR
docker pull ghcr.io/l4b4r4b4b4/real-estate-sustainability-mcp:latest
docker run -p 8000:8000 ghcr.io/l4b4r4b4b4/real-estate-sustainability-mcp:latest

# Or build locally with Docker Compose
docker compose up

# Build images manually
docker compose --profile build build base
docker compose build

Using with Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "real-estate-sustainability-mcp": {
      "command": "uv",
      "args": ["run", "real-estate-sustainability-mcp"],
      "cwd": "/path/to/real-estate-sustainability-mcp"
    }
  }
}

Using with Zed

The project includes .zed/settings.json pre-configured for MCP context servers.

Project Structure

real-estate-sustainability-mcp/
├── app/                     # Application code
│   ├── __init__.py          # Version export
│   ├── server.py            # Main server with tools
│   ├── tools/               # Tool modules
│   └── __main__.py          # CLI entry point
├── tests/                   # Test suite
│   ├── conftest.py          # Pytest fixtures
│   └── test_server.py       # Server tests
├── docker/
│   ├── Dockerfile.base      # Python slim base image with dependencies
│   ├── Dockerfile           # Production image (extends base)
│   └── Dockerfile.dev       # Development with hot reload
├── .github/
│   └── workflows/
│       ├── ci.yml           # CI pipeline (lint, test, security)
│       ├── publish.yml      # PyPI trusted publisher
│       └── release.yml      # Docker build & publish to GHCR
├── .agent/                  # AI assistant workspace
│   └── goals/
│       └── 00-Template-Goal/  # Goal tracking template
├── pyproject.toml           # Project config
├── docker-compose.yml       # Local development & production
├── flake.nix                # Nix dev shell
└── .rules                   # AI assistant guidelines

Development

Setup

# Install dependencies
uv sync

# Install pre-commit and pre-push hooks
uv run pre-commit install --install-hooks
uv run pre-commit install --hook-type pre-push

Running Tests

uv run pytest
uv run pytest --cov  # With coverage

Linting and Formatting

uv run ruff check . --fix
uv run ruff format .

Type Checking

uv run mypy app/

Docker Development

# Run development container with hot reload
docker compose --profile dev up

# Build base image (for publishing)
docker compose --profile build build base

# Build all images
docker compose build

Using Nix (Optional)

nix develop  # Enter dev shell with all tools

Configuration

Environment Variables

Variable	Description	Default
`LANGFUSE_PUBLIC_KEY`	Langfuse public key	-
`LANGFUSE_SECRET_KEY`	Langfuse secret key	-
`LANGFUSE_HOST`	Langfuse host URL	`https://cloud.langfuse.com`

CLI Commands

uvx real-estate-sustainability-mcp --help

Commands:
  stdio             Start server in stdio mode (for Claude Desktop and local CLI)
  sse               Start server in SSE mode (Server-Sent Events)
  streamable-http   Start server in streamable HTTP mode (recommended for remote/Docker)

# Examples:
uvx real-estate-sustainability-mcp stdio                          # Local CLI mode
uvx real-estate-sustainability-mcp sse --port 8000                # SSE on port 8000
uvx real-estate-sustainability-mcp streamable-http --host 0.0.0.0 # Docker/remote mode

Publishing

PyPI

Configure trusted publisher at PyPI:

Project name: real-estate-sustainability-mcp
Owner: l4b4r4b4b4
Repository: real-estate-sustainability-mcp
Workflow: publish.yml
Environment: pypi

Docker Images

Images are automatically published to GHCR on:

Push to main branch → latest tag
Version tags (v*.*.*) → latest, v0.0.1, 0.0.1, 0.0 tags

License

MIT License - see LICENSE for details.

Contributing

See CONTRIBUTING.md for development guidelines.

mcp-refcache - Reference-based caching for MCP servers
FastMCP - High-performance MCP server framework
Model Context Protocol - The underlying protocol specification

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

0dRelease cycle

3Releases (12mo)

Commit activity

Resources

GitHub Repository

Need Help?

Related Servers

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

Lightport: Open-Sourcing Glama's AI Gateway
By punkpeye on April 27, 2026.
open source
OpenAI
Tool Definition Quality Score (TDQS)
By punkpeye on April 3, 2026.
mcp
The Hackers Who Tracked My Sleep Cycle
By punkpeye on March 26, 2026.
security

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/l4b4r4b4b4/real-estate-sustainability-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server