Borrowing it
Nothing to install: this file belongs to PatrykIti/blender-ai-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/PatrykIti/blender-ai-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/PatrykIti/blender-ai-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/patrykiti/blender-ai-mcp/agents-md)<a href="https://agentmods.dev/instructions/patrykiti/blender-ai-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/patrykiti/blender-ai-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/patrykiti/blender-ai-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/patrykiti/blender-ai-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 | $0.05297 | $0.05297 |
| Opus 5 | $0.02648 | $0.02648 |
| Sonnet 5 | $0.01059 | $0.01059 |
| Haiku 4.5 | $0.00530 | $0.00530 |
Grade A, and why
blender-ai-mcp AGENTS.md scanned grade A with 0 findings 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 10d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 390 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project Purpose
blender-ai-mcp is a split Blender control system for LLMs:
server/exposes FastMCP tools and translates them to RPC calls.blender_addon/runs inside Blender and executes the actualbpyoperations.server/router/is a supervisor layer that corrects, expands, and routes LLM tool calls through metadata and workflows.
The project exists to avoid raw-code Blender automation. The intended product surface is a stable, deterministic tool API with strong inspection, recovery, and workflow support.
Repo Map
server/domain/: abstract tool interfaces and core models. Keep framework-free.server/application/tool_handlers/: RPC-backed application handlers that implement domain interfaces.server/adapters/mcp/areas/: FastMCP tool definitions grouped by area.server/adapters/rpc/: socket RPC client used by handlers.server/infrastructure/: DI and config.server/router/: router, metadata, classifiers, workflow engine, vector store, and MCP integration helpers.blender_addon/application/handlers/: Blender-side handlers usingbpy.blender_addon/infrastructure/rpc_server.py: threaded RPC server that schedules work safely on Blender's main thread.tests/unit/: fast tests with mocked Blender/RPC.tests/e2e/: Blender-backed end-to-end tests._docs/: canonical design/task/history docs. Read the area-specific docs before structural changes.
Architecture Rules
- Preserve Clean Architecture direction:
adapters -> application -> domain. - Do not import FastMCP, socket code, or Blender APIs into
server/domain/. - Keep Blender-specific logic inside
blender_addon/. - MCP adapters should stay thin. Business logic belongs in handlers or router components, not inside
@mcp.toolwrappers. - Dependency wiring belongs in
server/infrastructure/di.py. - Router additions must remain metadata-driven where possible.
Runtime Boundaries
Read _docs/_ROUTER/RESPONSIBILITY_BOUNDARIES.md before changing FastMCP integration, LaBSE usage, router policy, or verification flows.
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.
- 10d ago First seen · 390 lines · 5,297 tokens per session scan A 000231500455
blender-ai-mcp AGENTS.md is an instructions file published in the GitHub repository PatrykIti/blender-ai-mcp (57 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 5,297 tokens to every session, about $0.0265 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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