Massing Bim

What it does

When your agent uses it

• The user asks to inspect
• Author a Massing project through Claude

Example prompts

• “/massing-bim”

Requirements

• Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

1. 1Read before you write. Snapshot the project (or list the relevant records) before creating an RFI
2. 2run_recipe saves a new IFC version but does not reconvert. After a batch of edits, tell the user
3. 3Author with GUID-stable recipes only. Never fabricate a GUID or hand-write IFC; call list_recipes
4. 4Respect the compliance boundary. Money movement, KYC, and paid third-party bridges are deliberately
5. 5Report the tool's own numbers. If a model isn't loaded, the analysis tools return a clear

What it can do on your machine

Read from SKILL.md and the folder at commit 523e5b3. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • pip
  • python

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Links to these hosts (documentation or services it may open):

  • modelcontextprotocol.io

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Massing Bim loads about 1.1k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 446 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~98

When it runs · the whole SKILL.md, loaded when a task matches

~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ibuilder/massing at commit 523e5b3, republished under its MIT licence (© ibuilder). 446 words, ~1,104 tokens.

name

massing-bim

description

Drive a Massing BIM/AEC project from an AI agent over MCP — read a project's status, records, CDE, KPI and model-quality checks; run standards-compliance, schedule-risk, embodied-carbon, permit- readiness and drawing-QA analyses; author the IFC model with GUID-stable recipes; and draft RFIs. Use when the user asks to inspect, analyse, or author a Massing project through Claude.

pip install "mcp[cli]"
cd services/api
PYTHONPATH=src DATABASE_URL=postgresql://… python mcp_server.py     # stdio server

{ "mcpServers": { "massing": {
    "command": "python",
    "args": ["/path/to/services/api/mcp_server.py"],
    "env": { "PYTHONPATH": "/path/to/services/api/src",
             "DATABASE_URL": "postgresql://user:pass@host/db",
             "AEC_RBAC": "1", "AEC_MCP_USER": "you@firm.com" } } } }

© ibuilder, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files in docs/mcp-skills of ibuilder/massing.

• SKILL.md
• draft-rfi.md
• drive-a-recipe.md
• run-takeoff.md

Open the folder on GitHubat commit 523e5b3