Borrowing it
Nothing to install: this file belongs to ageless-h/blender-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/ageless-h/blender-mcp/master/AGENTS.mdgit clone --depth 1 https://github.com/ageless-h/blender-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/ageless-h/blender-mcp/agents-md)<a href="https://agentmods.dev/instructions/ageless-h/blender-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/ageless-h/blender-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/ageless-h/blender-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/ageless-h/blender-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 | $0.01827 | $0.01827 |
| Opus 5.5 | $0.00731 | $0.00731 |
| Sonnet 5.5 | $0.00365 | $0.00365 |
| Haiku 4.5 | $0.00183 | $0.00183 |
Grade A, and why
blender-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 2mo 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS
OVERVIEW
Blender MCP — MCP server for AI-assisted Blender automation. Python >=3.11, zero runtime deps. Two-process architecture: MCP server (PyPI ageless-blender-mcp) talks to Blender addon over TCP.
LLM Client ←MCP JSON-RPC→ blender_mcp (server) ←TCP socket→ blender_mcp_addon (Blender)
- 105 Python files, ~17,500 lines
- 29 tools, 0 prompts (tools-only server), 37 registered handlers (across 29 files)
- Blender: 4.2 LTS / 4.5 LTS / 5.0+ / 5.1
STRUCTURE
src/
blender_mcp/ # MCP server (PyPI) — see src/blender_mcp/AGENTS.md
mcp_protocol.py # MCPServer: entry, 29 tools, JSON-RPC dispatch
schemas/tools.py # Tool schemas (WHAT/WHEN/NOT + annotations)
adapters/ # SocketAdapter (TCP) + MockAdapter (testing)
catalog/ # CapabilityCatalog — version-scoped registration
security/ # Allowlist, Guardrails, RateLimiter, AuditLogger
prompts/registry.py # Empty prompt registry (prompts removed)
versioning/ # Blender version compat checks
telemetry.py # Usage telemetry
blender_mcp_addon/ # Blender addon (runs inside Blender)
__init__.py # bl_info registration
capabilities/base.py # 29-tool dispatcher + _push_undo_step()
handlers/ # See src/blender_mcp_addon/handlers/AGENTS.md
registry.py # @HandlerRegistry.register decorator
types.py # DataType enum + DATA_TYPE_TO_COLLECTION
response.py # _ok(), _error(), not_found_error()
base.py # BaseHandler + GenericCollectionHandler (shared CRUD)
shared.py # create_mesh_primitive, link_data_to_scene
data/ # 30 files — one per bpy data type
nodes/ animation/ sequencer/ constraints/ physics/ uv/ scene/
importexport/ info/ operator/ script/
server/ # Socket server (op_log, timeouts)
operators.py preferences.py ui.py
tests/ # See tests/AGENTS.md
conftest.py # src/ on sys.path, MCP_ADAPTER=mock fixture
addon/ tools/ integration/ mcp/
docs/ # capabilities/, testing/, clients/, architecture/
scripts/ # Build/release helpers + CI scripts (check_compatibility, ci_install_blender, ci_run_blender_tests, validate_boundary)
examples/ # stdio_loop.py
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.
- 2mo ago First seen · 132 lines · 1,827 tokens per session scan A c27be9878e11
blender-mcp AGENTS.md is an instructions file published in the GitHub repository ageless-h/blender-mcp (6 stars, last pushed 6mo ago), licensed MIT. It adds 1,827 tokens to every session, about $0.0073 per session on Opus 5.5. 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 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).