automateyournetwork/msgraph-visio
workspace/skills/msgraph-visio/SKILL.md
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
$ install --global
skillsauthnpx skillsauth add automateyournetwork/netclaw msgraph-visioInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Apr 20, 2026, 3:29 AM4.1s1 file scanned
SKILL.md
- name:
- msgraph-visio
- description:
- 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
- license:
- Apache-2.0
- user-invocable:
- true
- { "openclaw":
- { "requires": { "bins": ["npx"], "env": ["AZURE_TENANT_ID", "AZURE_CLIENT_ID", "AZURE_CLIENT_SECRET"] } } }
Microsoft Graph — Visio Diagram Generation
How to Call the Tools
The Microsoft Graph MCP server is invoked via npx with Azure AD credentials:
AZURE_TENANT_ID=$AZURE_TENANT_ID AZURE_CLIENT_ID=$AZURE_CLIENT_ID AZURE_CLIENT_SECRET=$AZURE_CLIENT_SECRET \
python3 $MCP_CALL "npx -y @anthropic-ai/microsoft-graph-mcp" <tool-name> '<arguments-json>'
Visio Generation Workflow
Step 1: Discover the Network Topology
Use pyats-topology to collect CDP/LLDP neighbor data from all devices:
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "python3 -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show cdp neighbors detail"}'
Collect from all devices via pCall for a complete topology view.
Step 2: Build the Visio Diagram Content
From discovery data, construct the topology as a Visio-compatible format. Use the OOXML structure that Visio .vsdx files use (ZIP archive containing XML).
For simpler workflows, generate the topology as Mermaid first, then use Draw.io for the editable diagram, and export the final version as .vsdx via the Draw.io editor.
Step 3: Upload to SharePoint
AZURE_TENANT_ID=$AZURE_TENANT_ID AZURE_CLIENT_ID=$AZURE_CLIENT_ID AZURE_CLIENT_SECRET=$AZURE_CLIENT_SECRET \
python3 $MCP_CALL "npx -y @anthropic-ai/microsoft-graph-mcp" graph_upload_file '{"driveId":"<drive-id>","parentId":"<topology-folder-id>","fileName":"campus-topology-2026-02-22.vsdx","content":"<base64-vsdx-content>"}'
Step 4: Share the Diagram
Create a sharing link for the team:
AZURE_TENANT_ID=$AZURE_TENANT_ID AZURE_CLIENT_ID=$AZURE_CLIENT_ID AZURE_CLIENT_SECRET=$AZURE_CLIENT_SECRET \
python3 $MCP_CALL "npx -y @anthropic-ai/microsoft-graph-mcp" graph_create_sharing_link '{"driveId":"<drive-id>","itemId":"<file-id>","type":"view","scope":"organization"}'
Diagram Types
1. Physical Topology Diagram
Generated from CDP/LLDP neighbor data. Shows:
- Device icons (router, switch, firewall, AP)
- Physical connections with interface labels
- IP addressing on each link
- Link speeds and media types
Data sources:
show cdp neighbors detail— device names, platforms, interfaces, IPsshow lldp neighbors detail— same for LLDP-enabled devicesshow interfaces— link speeds, media types, error counters
2. Logical Topology Diagram
Generated from routing protocol data. Shows:
- OSPF areas with area boundaries
- BGP AS topology with eBGP/iBGP peerings
- VRF boundaries and route leaking points
- VXLAN overlay vs underlay
Data sources:
show ip ospf neighbor+show ip ospf database— OSPF topologyshow bgp summary— BGP peering topologyshow vrf— VRF membership
3. Reconciliation Status Diagram
Color-coded by NetBox reconciliation status:
- Green — Documented in NetBox, matches live state
- Yellow — Documented but mismatched (IP drift, MTU mismatch)
- Red — Undocumented link (exists on device, not in NetBox)
- Gray — Missing link (in NetBox, not seen on device)
Data source: netbox-reconcile skill output
4. Data Center Fabric Diagram
ACI-specific topology showing:
- Spine/leaf fabric with APIC controllers
- Tenant/VRF/BD/EPG hierarchy
- Contract relationships
- External connectivity (L3Out)
Data source: aci-fabric-audit skill output
Integration with Other Skills
- pyats-topology — Primary data source for physical/logical topology discovery
- netbox-reconcile — Provides reconciliation status for color-coded diagrams
- aci-fabric-audit — ACI fabric topology data for data center diagrams
- drawio-diagram — Use Draw.io for quick interactive editing, then export to .vsdx format
- msgraph-files — Organize Visio files in SharePoint folder structure
- msgraph-teams — Post diagram links to Teams channels for team visibility
- gait-session-tracking — Record diagram generation in audit trail
Naming Convention
<site>-<diagram-type>-<date>.vsdx
Examples:
campus-physical-topology-2026-02-22.vsdx
dc-aci-fabric-2026-02-22.vsdx
wan-bgp-logical-2026-02-22.vsdx
site-a-reconciliation-2026-02-22.vsdx
SharePoint Organization
SharePoint: Network Engineering/
└── Topology/
├── Physical/
│ ├── campus-physical-topology-2026-02-22.vsdx
│ └── dc-physical-topology-2026-02-22.vsdx
├── Logical/
│ ├── wan-bgp-logical-2026-02-22.vsdx
│ └── campus-ospf-logical-2026-02-22.vsdx
├── Reconciliation/
│ └── site-a-reconciliation-2026-02-22.vsdx
└── ACI/
└── dc-aci-fabric-2026-02-22.vsdx
GAIT Audit Trail
Record diagram generation in GAIT:
python3 $MCP_CALL "python3 -u $GAIT_MCP_SCRIPT" gait_record_turn '{"input":{"role":"assistant","content":"Generated campus physical topology diagram from CDP/LLDP discovery (4 devices, 6 links). Uploaded to SharePoint Network Engineering/Topology/Physical/campus-physical-topology-2026-02-22.vsdx. Sharing link created for Network Engineering team.","artifacts":[]}}'
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