Borrowing it
Nothing to install: this file belongs to sandraschi/worldlabs-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sandraschi/worldlabs-mcp/main/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/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.
<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="Reviewed on agentmods" width="80" 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 | $0.00918 | $0.00918 |
| Opus 5.5 | $0.00367 | $0.00367 |
| Sonnet 5.5 | $0.00184 | $0.00184 |
| Haiku 4.5 | $0.00092 | $0.00092 |
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 22d 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. 23 MCP tools + FastAPI bridge (:10865) + webapp (:10864) + Tauri NSIS shell.
Entry Points
uv run worldlabs-mcp→worldlabs_mcp.server:main(stdio, Claude Desktop)WORLDLABS_MCP_PORT=10865 uv run python run_server.py→ HTTP on:10865(server.py main() is stdio-only and takes no --port flag)uv 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 # 52 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 (
server:main, Claude Desktop) + HTTP (run_server.pywithWORLDLABS_MCP_PORT, or direct ASGIuvicorn worldlabs_mcp.server:app) - Prefab UI:
@mcp.tool(app=True)onshow_worlds_card/show_world_card - Annotations:
readOnlyHint/destructiveHinton all 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.
- 22d ago Changed · +44 tokens per session 4953d6454a58
- 2mo ago Changed · +31 lines · +630 tokens per session a208ae4c13ff
- 2mo 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 (24 stars, last pushed today), licensed MIT. It adds 918 tokens to every session, about $0.0037 per session on Opus 5.5. 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.
worldlabs-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| worldlabs-mcp AGENTS.mdsandraschi/worldlabs-mcp | Instructions file | 24 | today | MIT | A | 918 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |