Brainiall NLP
Sentiment, toxicity, entity extraction, PII, translation, summary, QA, fraud scoring, safety audit.
Crawler Summary
Control Autodesk Fusion 360 via the AuraFriday MCP Server add-in. Use when the user wants to create, modify, measure, or inspect 3D CAD models, sketches, assemblies, or manufacturing setups in Fusion 360. Triggers on any Fusion/CAD/3D-modeling request. --- name: openclaw-fusion description: Control Autodesk Fusion 360 via the AuraFriday MCP Server add-in. Use when the user wants to create, modify, measure, or inspect 3D CAD models, sketches, assemblies, or manufacturing setups in Fusion 360. Triggers on any Fusion/CAD/3D-modeling request. --- Fusion 360 Skill Control Fusion 360 through the AuraFriday MCP-Link server. The server exposes a fusion360 MCP tool with thr Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
openclaw-fusion is best for flip workflows where MCP compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
Control Autodesk Fusion 360 via the AuraFriday MCP Server add-in. Use when the user wants to create, modify, measure, or inspect 3D CAD models, sketches, assemblies, or manufacturing setups in Fusion 360. Triggers on any Fusion/CAD/3D-modeling request. --- name: openclaw-fusion description: Control Autodesk Fusion 360 via the AuraFriday MCP Server add-in. Use when the user wants to create, modify, measure, or inspect 3D CAD models, sketches, assemblies, or manufacturing setups in Fusion 360. Triggers on any Fusion/CAD/3D-modeling request. --- Fusion 360 Skill Control Fusion 360 through the AuraFriday MCP-Link server. The server exposes a fusion360 MCP tool with thr
Public facts
5
Change events
1
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
MCP
Freshness
Apr 15, 2026
Vendor
Pacificmeister
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/15/2026.
Setup snapshot
git clone https://github.com/pacificmeister/openclaw-fusion.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Pacificmeister
Protocol compatibility
MCP
Adoption signal
3 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
bash
mcporter call fusion360.execute --args '{"api_path": "design.rootComponent.sketches.add", "args": ["design.rootComponent.xYConstructionPlane"]}'json
{"mcpServers": {"fusion360": {"url": "https://127-0-0-1.local.aurafriday.com:31173/sse"}}}json
{"api_path": "design.rootComponent.sketches.add", "args": ["design.rootComponent.xYConstructionPlane"], "store_as": "sketch1"}json
{"operation": "execute_python", "code": "...python code..."}json
{"operation": "get_api_documentation", "search_term": "ExtrudeFeature", "category": "class_name", "max_results": 5}
{"operation": "get_online_documentation", "class_name": "ExtrudeFeatures", "member_name": "createInput"}
{"operation": "get_best_practices"}text
I just [OPERATION] in Fusion 360. Expected: [WHAT SHOULD BE VISIBLE] Location: [WHERE ON THE MODEL] Check: Is the change visible? Is it in the right place? Right direction?
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Control Autodesk Fusion 360 via the AuraFriday MCP Server add-in. Use when the user wants to create, modify, measure, or inspect 3D CAD models, sketches, assemblies, or manufacturing setups in Fusion 360. Triggers on any Fusion/CAD/3D-modeling request. --- name: openclaw-fusion description: Control Autodesk Fusion 360 via the AuraFriday MCP Server add-in. Use when the user wants to create, modify, measure, or inspect 3D CAD models, sketches, assemblies, or manufacturing setups in Fusion 360. Triggers on any Fusion/CAD/3D-modeling request. --- Fusion 360 Skill Control Fusion 360 through the AuraFriday MCP-Link server. The server exposes a fusion360 MCP tool with thr
Control Fusion 360 through the AuraFriday MCP-Link server. The server exposes a fusion360 MCP tool with three execution modes: Generic API calls, Python execution, and documentation lookup.
MCP-Link SSE endpoint: https://127-0-0-1.local.aurafriday.com:31173/sse
Use mcporter to call tools:
mcporter call fusion360.execute --args '{"api_path": "design.rootComponent.sketches.add", "args": ["design.rootComponent.xYConstructionPlane"]}'
Or configure in config/mcporter.json:
{"mcpServers": {"fusion360": {"url": "https://127-0-0-1.local.aurafriday.com:31173/sse"}}}
Verify connection: mcporter list fusion360 --schema
{"api_path": "design.rootComponent.sketches.add", "args": ["design.rootComponent.xYConstructionPlane"], "store_as": "sketch1"}
api_path: Dot-path into Fusion API. Prefix stored objects with $ (e.g., $sketch1.sketchCurves)args: Array of arguments. Objects constructed from dicts: {"type": "Point3D", "x": 5, "y": 10, "z": 0}store_as: Save result for later use as $nameSupported object types in args:
{"type": "Point3D", "x": 0, "y": 0, "z": 0}{"type": "Vector3D", "x": 1, "y": 0, "z": 0}{"type": "ValueInput", "value": 2.5} (cm) or {"type": "ValueInput", "expression": "2.5 mm"}{"type": "ObjectCollection"} (empty collection)0 for FeatureOperations.JoinFeatureOperation){"operation": "execute_python", "code": "...python code..."}
Pre-injected variables: app, ui, design, rootComponent, fusion_context (stored objects dict), mcp (bridge to other tools).
Full access to adsk.core, adsk.fusion, adsk.cam. Use print() for return values.
{"operation": "get_api_documentation", "search_term": "ExtrudeFeature", "category": "class_name", "max_results": 5}
{"operation": "get_online_documentation", "class_name": "ExtrudeFeatures", "member_name": "createInput"}
{"operation": "get_best_practices"}
Always call get_best_practices on first use and get_api_documentation when unsure of API.
NEVER trust API return values alone. Visual verification after every geometry operation is mandatory, not optional.
Every geometry-changing operation follows this exact sequence:
Use this exact prompt format for quick checks:
I just [OPERATION] in Fusion 360.
Expected: [WHAT SHOULD BE VISIBLE]
Location: [WHERE ON THE MODEL]
Check: Is the change visible? Is it in the right place? Right direction?
Use model="google/gemini-2.0-flash" (or equivalent cheap model) for routine checks.
Reserve the main model for design decisions and complex analysis only.
Cost: ~$0.001 per check. 50 checks per session = $0.05. This is essentially free compared to the cost of blind debugging (which wastes 3-5× more API calls fixing compounded errors).
Before creating geometry, verify:
This is the #1 source of errors. Memorize or reference before every sketch:
| Sketch Plane | Sketch X → | Sketch Y → | Extrude → | |-------------|------------|------------|-----------| | XY (offset in Z) | Model X | Model Y | ±Z | | XZ (offset in Y) | Model X | Model Z | ±Y | | YZ (offset in X) | Model Y | Model Z | ±X |
⚠️ Offset planes can FLIP axes! XZ plane offset in -Y flips sketch Y → -Z. Always verify with bounding box after first extrude.
Before any boolean cut, verify tool/target overlap:
t_bb = tool_body.boundingBox
b_bb = target_body.boundingBox
overlap = (t_bb.maxPoint.x > b_bb.minPoint.x and t_bb.minPoint.x < b_bb.maxPoint.x and
t_bb.maxPoint.y > b_bb.minPoint.y and t_bb.minPoint.y < b_bb.maxPoint.y and
t_bb.maxPoint.z > b_bb.minPoint.z and t_bb.minPoint.z < b_bb.maxPoint.z)
if not overlap:
print("WARNING: No overlap — boolean will fail!")
Cuts, pockets, bore holes — anything inside a body — need a section view to verify:
planes = rootComponent.constructionPlanes
inp = planes.createInput()
inp.setByOffset(rootComponent.xYConstructionPlane, adsk.core.ValueInput.createByReal(offset_cm))
plane = planes.add(inp)
section = rootComponent.analyses.createSectionAnalysis(plane)
# ... screenshot + verify ...
section.deleteMe()
plane.deleteMe()
cam = app.activeViewport.camera
cam.eye = adsk.core.Point3D.create(ex, ey, ez)
cam.target = adsk.core.Point3D.create(tx, ty, tz)
cam.upVector = adsk.core.Vector3D.create(0, 0, 1)
cam.viewExtents = 5.0 # cm — ~3× feature size
cam.isSmoothTransition = False
app.activeViewport.camera = cam
app.activeViewport.refresh()
Combine camera + screenshot + viewport save in one Fusion call:
# Zoom to area, screenshot, return path
cam = app.activeViewport.camera
cam.eye = adsk.core.Point3D.create(ex, ey, ez)
cam.target = adsk.core.Point3D.create(tx, ty, tz)
cam.upVector = adsk.core.Vector3D.create(0, 0, 1)
cam.viewExtents = extent
cam.isSmoothTransition = False
app.activeViewport.camera = cam
app.activeViewport.refresh()
path = '/tmp/fusion-verify.png'
app.activeViewport.saveAsImageFile(path, 1920, 1080)
print(f'SCREENSHOT:{path}')
Then: cp /tmp/fusion-verify.png ~/clawd/fusion-verify.png and use image tool with cheap model.
Load references/verification-checklist.md for the full checklist with failure examples from real builds.
Load references/visual-feedback.md for camera presets and section view patterns.
Load references/operations.md for detailed patterns covering:
$sketch.profiles.item(0).{"type": "ValueInput", "expression": "10 mm"} or {"value": 1.0} (cm).success field. On failure, read the error message and adjust.Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://www.xpersona.co/api/v1/agents/pacificmeister-openclaw-fusion/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/pacificmeister-openclaw-fusion/contract"
curl -s "https://www.xpersona.co/api/v1/agents/pacificmeister-openclaw-fusion/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Sentiment, toxicity, entity extraction, PII, translation, summary, QA, fraud scoring, safety audit.
Agent-callable B2B SaaS directory: capability-structured, continuously verified listings.
Loan & mortgage calculator, compound interest, ROI, crypto prices, FX conversion for AI agents.
Structured website and review evidence for AI-assisted local-business shortlisting.
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://www.xpersona.co/api/v1/agents/pacificmeister-openclaw-fusion/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/pacificmeister-openclaw-fusion/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/pacificmeister-openclaw-fusion/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/pacificmeister-openclaw-fusion/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/pacificmeister-openclaw-fusion/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/pacificmeister-openclaw-fusion/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"MCP"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-10-09T21:41:06.880Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "MCP",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
},
{
"key": "flip",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:MCP|unknown|profile capability:flip|supported|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"category": "integration",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "vendor",
"label": "Vendor",
"value": "Pacificmeister",
"category": "vendor",
"href": "https://github.com/pacificmeister/openclaw-fusion",
"sourceUrl": "https://github.com/pacificmeister/openclaw-fusion",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T01:15:06.348Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "protocols",
"label": "Protocol compatibility",
"value": "MCP",
"category": "compatibility",
"href": "https://www.xpersona.co/api/v1/agents/pacificmeister-openclaw-fusion/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/pacificmeister-openclaw-fusion/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T01:15:06.348Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "traction",
"label": "Adoption signal",
"value": "3 GitHub stars",
"category": "adoption",
"href": "https://github.com/pacificmeister/openclaw-fusion",
"sourceUrl": "https://github.com/pacificmeister/openclaw-fusion",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T01:15:06.348Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "handshake_status",
"label": "Handshake status",
"value": "UNKNOWN",
"category": "security",
"href": "https://www.xpersona.co/api/v1/agents/pacificmeister-openclaw-fusion/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/pacificmeister-openclaw-fusion/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true,
"metadata": {}
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true,
"metadata": {}
}
]Sponsored
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