Borrowing it
Nothing to install: this file belongs to bakaroart/blender-chatgpt-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/bakaroart/blender-chatgpt-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/bakaroart/blender-chatgpt-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/bakaroart/blender-chatgpt-mcp/agents-md)<a href="https://agentmods.dev/instructions/bakaroart/blender-chatgpt-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/bakaroart/blender-chatgpt-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/bakaroart/blender-chatgpt-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/bakaroart/blender-chatgpt-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 | $0.00528 | $0.00528 |
| Opus 5 | $0.00264 | $0.00264 |
| Sonnet 5 | $0.00106 | $0.00106 |
| Haiku 4.5 | $0.00053 | $0.00053 |
Grade A, and why
blender-chatgpt-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 9d 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
blender-chatgpt-mcp Agent Notes
Architecture
Codex connects directly to the local TypeScript Streamable HTTP MCP server at 127.0.0.1:3000/mcp; ChatGPT connector setups can reach the same endpoint through Secure MCP Tunnel. The MCP server validates tool inputs with Zod, sends authenticated JSON envelopes to the Blender bridge at 127.0.0.1:8765, and returns MCP structuredContent plus concise text. The Blender add-on runs a standard-library ThreadingHTTPServer; HTTP worker threads authenticate, parse, validate, and enqueue only. Blender API calls happen from the bpy.app.timers queue drain on Blender's main thread.
Commands
npm installnpm run devnpm run buildnpm run startnpm run lintnpm run typechecknpm testnpm run test:integrationnpm run test:blendernpm run package:addonnpm run check
Coding Conventions
- Keep TypeScript strict and avoid
any. - Keep pure Python modules importable without
bpy. - Use fixed operation names and typed schemas only.
- Target Blender 5.1+ behavior; do not claim older Blender compatibility without tests.
- Prefer Blender data APIs; use
bpy.opsonly for narrow operations that need Blender context. - Keep bridge responses structured and stable.
Security Invariants
- No arbitrary Python, shell, Blender operator, module, property-path, or generic attribute execution.
- Bridge binds only to
127.0.0.1. - MCP defaults to
127.0.0.1; non-loopback bind is development-only and unsupported for public deployment. - Every bridge command requires a bearer token compared with constant-time comparison.
- File writes stay under the configured Blender project root.
- Do not log tokens, raw environment values, base64 image bodies, prompt text, or full scene dumps.
- Mutations are never retried automatically after ambiguous failures.
- Do not add OpenAI API calls or
OPENAI_API_KEYrequirements. Codex usage should work through ChatGPT/Codex sign-in and plan quota;BLENDER_BRIDGE_TOKENis only a local bridge token.
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.
- 9d ago First seen · 44 lines · 528 tokens per session scan A 16a6874ebc25
blender-chatgpt-mcp AGENTS.md is an instructions file published in the GitHub repository bakaroart/blender-chatgpt-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 528 tokens to every session, about $0.0026 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 2026-08-31.
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