Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/sandraschi/worldlabs-mcp/agents-mdgit clone --depth 1 https://github.com/sandraschi/worldlabs-mcpWrote 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.
[](https://agentmods.dev/instructions/sandraschi/worldlabs-mcp/agents-md)<a href="https://agentmods.dev/instructions/sandraschi/worldlabs-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/sandraschi/worldlabs-mcp/agents-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00874 | $0.00874 |
| Opus 5 | $0.00437 | $0.00437 |
| Sonnet 5 | $0.00175 | $0.00175 |
| Haiku 4.5 | $0.00087 | $0.00087 |
Grade A, and why
worldlabs-mcp AGENTS.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 2d 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.
just health # curl /health on :10865 How it starts
The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
worldlabs-mcp — Agent Guide
Overview
MCP server wrapping the World Labs Marble API for 3D world generation (text/image/video-to-world via Marble 1.1) and the Spark 2.0 spatial viewer. 20 MCP tools + FastAPI bridge (:10865) + webapp (:10864) + Tauri NSIS shell.
Entry Points
uv run worldlabs-mcp→worldlabs_mcp.server:main(stdio, Claude Desktop)MCP_TRANSPORT=http uv run worldlabs-mcp→ HTTP on:10865uv run uvicorn worldlabs_mcp.server:app --host 127.0.0.1 --port 10865→ direct ASGI.\start.ps1/just serve→ full stack via FleetStartMode.ps1 (ports 10864/10865)
Quick Ref
uv run pytest tests/ -q # 49 passed 8 skipped
uv run ruff check src/ --fix && uv run ruff format src/
uv run pyright src/ # 0 errors (basic mode)
just certify # five-gate: ruff + pyright + pytest + tsc + biome
just health # curl /health on :10865
just probe-llm # local LLM discovery
just pack # mcpb pack -> dist/worldlabs-mcp.mcpb
Ports
| Port | Service | Config |
|---|---|---|
| 10864 | Frontend Vite (web_sota) | fleet-start.config.ps1 FrontendPort |
| 10865 | Backend FastAPI + MCP HTTP | fleet-start.config.ps1 BackendPort |
Registered in mcp-central-docs/operations/WEBAPP_PORTS.md. Never use 3000/5000/5173/8000/8080.
Standards
- FastMCP 3.4.4
>=3.4.4,<4portmanteau pattern (tools useoperationenum where >15 related) - Responses:
{success, message, data}dialogic,logger.exception()in error paths,_error_response()helper - Dual transport: stdio (Claude Desktop) + HTTP (
MCP_TRANSPORT=http) - Prefab UI:
@mcp.tool(app=True)onshow_worlds_card/show_world_card - Annotations:
readOnlyHint/destructiveHinton 9+ tools - Resources:
world://{world_id},gallery://{tag}; Prompts:world-gen,spark-viewer - Docs:
docs/CONFIGURATION.md,DEVELOPMENT.md,TOOLS.md,TROUBLESHOOTING.md,ONBOARDING.md - See mcp-central-docs fleet standards
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.
- 2d ago Changed · +31 lines · +630 tokens per session a208ae4c13ff
- 6d ago First seen · 28 lines · 244 tokens per session scan A b693bfcb2078
worldlabs-mcp AGENTS.md is an instructions file published in the GitHub repository sandraschi/worldlabs-mcp (23 stars, last pushed 4d ago), licensed MIT. It adds 874 tokens to every session, about $0.0044 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 2026-08-30.
Other instructions, from other repositories
blender-mcp AGENTS.md
AGENTS.md instructions for sandraschi/blender-mcp, covering blender-mcp agent context and quick ref.
blender-mcp CLAUDE.md
Claude Code instructions for sandraschi/blender-mcp, covering blender-mcp — ai-powered blender automation, commands, architecture and code style & standards.
virtualization-mcp AGENTS.md
AGENTS.md instructions for sandraschi/virtualization-mcp, covering virtualization-mcp — agent guide, entry points, standards, key files and quick ref.
blender-mcp copilot-instructions.md
Copilot instructions for sandraschi/blender-mcp: You have access to a Blender 3D automation server. You can control Blender scenes, objects, materials, rendering, and physics through MCP tools.
freecad-mcp AGENTS.md
AGENTS.md instructions for sandraschi/freecad-mcp, covering freecad-mcp — agent guide, core capabilities for fleet agents, standards & patterns and key files & structure.
freecad-mcp copilot-instructions.md
Copilot instructions for sandraschi/freecad-mcp: You have access to 46+ FreeCAD CAD/CAM/CAE tools via MCP.