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blender-3d-viz
Create 3D network topology visualizations in Blender from CDP/LLDP neighbor data
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Create 3D network topology visualizations in Blender from CDP/LLDP neighbor data
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | blender-3d-viz |
| description | Create 3D network topology visualizations in Blender from CDP/LLDP neighbor data |
| license | Apache-2.0 |
| user-invocable | true |
| metadata | {"openclaw":{"requires":{"bins":["python3","uvx"],"env":["BLENDER_HOST"]}}} |
Create stunning 3D network topology visualizations in Blender from CDP/LLDP neighbor data. Network engineers can request topology drawings via natural language, and NetClaw translates neighbor discovery data into 3D rendering commands.
blender-mcp (community MCP via uvx)uvx blender-mcp (stdio transport)| Tool | Parameters | What It Does |
|---|---|---|
get_scene_info | None | Returns current Blender scene objects |
create_object | type, name, location, scale | Creates primitives (cube, sphere, cylinder) |
modify_object | name, position?, rotation?, scale? | Transform position/rotation/scale |
set_material | object_name, color, metallic?, roughness? | Apply colors and materials |
execute_blender_code | code | Run arbitrary Python in Blender |
# Draw topology from CDP/LLDP data
"Draw the network topology in Blender using CDP data"
# Visualize neighbors for a specific device
"Visualize the CDP neighbors for core-rtr-01 in 3D"
# Create diagram from LLDP data
"Create a 3D network diagram from the LLDP data"
# Quick topology request
"Show me the network topology in Blender"
# Export as PNG
"Export the Blender scene as topology.png"
# Save the diagram
"Save the network diagram as a PNG file"
# Render to image
"Render the topology to an image"
# Color customization
"Color router-1 red"
"Make all switches purple"
"Change the color of the firewalls to orange"
# Add labels
"Add labels to all devices"
"Label each device with its hostname"
# Highlighting
"Highlight router-1"
"Make core-rtr-01 stand out"
# Clear scene
"Clear the Blender scene"
"Reset the 3D view"
# Query scene
"What objects are in the Blender scene?"
"List the devices in Blender"
| Device Type | Color | RGB |
|---|---|---|
| Router | Blue | (0.2, 0.4, 0.8) |
| Switch | Green | (0.2, 0.7, 0.3) |
| Firewall | Red | (0.8, 0.2, 0.2) |
| Access Point | Yellow | (0.9, 0.8, 0.2) |
| Unknown | Gray | (0.5, 0.5, 0.5) |
Device types are inferred from hostnames:
| Error Code | Meaning | Resolution |
|---|---|---|
| CONNECTION_FAILED | Blender not running or addon not connected | Start Blender, click 'Connect to Claude' in BlenderMCP panel |
| ADDON_NOT_READY | Addon not connected | Press 'N' in Blender, find BlenderMCP tab, click 'Connect' |
| NO_CDP_DATA | No neighbor data available | Query network devices first via pyats-run or suzieq-show |
| TIMEOUT | First command may timeout | This is normal - retry the same command |
| EXPORT_FAILED | Export failed (window minimized) | Ensure Blender window is visible |
Federate your NetClaw with other NetClaw operators over the BGP mesh — exchange capability inventories and ask your claw what a peer can do. (US1; remote invocation and chat land in later phases.)
Catalyst Center device inventory and site management - list/filter devices by hostname, IP, platform, family, role, reachability; view site hierarchy; get interface details per device; device reachability monitoring; cross-reference with pyATS. Use when listing network devices, checking device reachability, auditing software versions, viewing site hierarchy, or finding a device by serial number.
Catalyst Center troubleshooting workflows - device unreachable investigation, client connectivity issues, interface down analysis, site-wide outage triage, wireless roaming problems, integration with pyATS for CLI-level diagnostics. Use when a device is unreachable, a user reports connectivity problems, an interface is down, a site has an outage, or wireless clients have roaming issues.
Human-in-the-loop escalation via HumanRail — route low-confidence agent decisions, pre-destructive operation approvals, and ambiguous incident tickets to real human engineers. Human answers are verified and returned as structured output. Workers are paid via Lightning Network. Use when the agent is uncertain, when a destructive change needs explicit human sign-off beyond a ServiceNow CR, or when an ambiguous ticket requires human triage before automated handling.
Generate and manage Visio network diagrams on SharePoint via Microsoft Graph API - create topology diagrams from CDP/LLDP discovery, update existing diagrams, export to PDF. Use when creating Visio topology diagrams, uploading network diagrams to SharePoint, or generating physical/logical topology views from discovery data
Reconcile NetBox source of truth against live network state - detect IP drift, missing interfaces, undocumented links, cable mismatches, VLAN mismatches, and ticket discrepancies in ServiceNow. Use when validating NetBox accuracy, checking for config drift, auditing network documentation, or reconciling source of truth after changes