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 skills add nativ3ai/hermes-agent-camel --skill blender-mcpgit clone --depth 1 https://github.com/nativ3ai/hermes-agent-camelWrote 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/skills/nativ3ai/hermes-agent-camel/blender-mcp)<a href="https://agentmods.dev/skills/nativ3ai/hermes-agent-camel/blender-mcp"><img src="https://agentmods.dev/badge/skills/nativ3ai/hermes-agent-camel/blender-mcp/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/skills/nativ3ai/hermes-agent-camel/blender-mcp"><img src="https://agentmods.dev/badge/skills/nativ3ai/hermes-agent-camel/blender-mcp.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 | $0.00053 | $0.01009 |
| Opus 5.5 | $0.00021 | $0.00404 |
| Sonnet 5.5 | $0.00011 | $0.00202 |
| Haiku 4.5 | $0.00005 | $0.00101 |
Grade A, and why
blender-mcp 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sL https://raw.githubusercontent.com/ahujasid/blender-mcp/main/addon.py -o ~/Desktop/blender_mcp_addon.py This is a copy
94% identical to blender-mcp — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blender MCP
Control a running Blender instance from Hermes via socket on TCP port 9876.
Setup (one-time)
1. Install the Blender addon
curl -sL https://raw.githubusercontent.com/ahujasid/blender-mcp/main/addon.py -o ~/Desktop/blender_mcp_addon.py
In Blender: Edit > Preferences > Add-ons > Install > select blender_mcp_addon.py Enable "Interface: Blender MCP"
2. Start the socket server in Blender
Press N in Blender viewport to open sidebar. Find "BlenderMCP" tab and click "Start Server".
3. Verify connection
nc -z -w2 localhost 9876 && echo "OPEN" || echo "CLOSED"
Protocol
Plain UTF-8 JSON over TCP -- no length prefix.
Send: {"type": "", "params": {}} Receive: {"status": "success", "result": } {"status": "error", "message": ""}
Available Commands
| type | params | description |
|---|---|---|
| execute_code | code (str) | Run arbitrary bpy Python code |
| get_scene_info | (none) | List all objects in scene |
| get_object_info | object_name (str) | Details on a specific object |
| get_viewport_screenshot | (none) | Screenshot of current viewport |
Python Helper
Use this inside execute_code tool calls:
import socket, json
def blender_exec(code: str, host="localhost", port=9876, timeout=15):
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((host, port))
s.settimeout(timeout)
payload = json.dumps({"type": "execute_code", "params": {"code": code}})
s.sendall(payload.encode("utf-8"))
buf = b""
while True:
try:
chunk = s.recv(4096)
if not chunk:
break
buf += chunk
try:
json.loads(buf.decode("utf-8"))
break
except json.JSONDecodeError:
continue
except socket.timeout:
break
s.close()
return json.loads(buf.decode("utf-8"))
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 · 117 lines · 53 tokens per session scan A 6e0e3868200d
blender-mcp is a skill published in the GitHub repository nativ3ai/hermes-agent-camel (193 stars, last pushed yesterday), licensed MIT. It adds 53 tokens to every session and 1,009 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 94% identical to blender-mcp, differing in 4 lines, and is treated as a copy.
blender-mcp compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| blender-mcpnativ3ai/hermes-agent-camel | Skill | 193 | yesterday | MIT | A | 53 | Claude Code, Codex |
| blender-mcpGGbond-bo/MemOmics-Agent | Skill | 31 | yesterday | MIT | A | 17 | Claude Code, Codex |
| blender-mcpmath-inc/OpenGauss | Skill | 1.3k | 7mo ago | MIT | A | 54 | Claude Code, Codex |
| blender-mcpraphaelmansuy/edgecrab | Skill | 93 | 3mo ago | none | A | 53 | Claude Code, Codex |
| blender-mcpzapabob/Skills | Skill | 2 | 11d ago | none | A | 53 | Claude Code, Codex |
| blender-mcpjohnson7788/MultiUserClaw | Skill | 328 | 2mo ago | MIT | A | 53 | Claude Code, Codex |
| blender-mcpcyborg-garden/hermes-agent-mt | Skill | 14 | 2d ago | MIT | A | 17 | Claude Code, Codex |