Graph Analysis Toolkit Connector for AI agents.
5 live capabilities
Map and analyze complex network topologies and connectivity metrics.
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Why people use Graph Analysis Toolkit
Graph Analysis Toolkit for Network Topology Mapping
This Connector changes that by letting your agent do the math for you. You can just describe the network you're looking at and ask for the key metrics. Instead of clicking through tabs, you get a direct report on connectivity, node importance, and structural risks in seconds.
What Vinkius changes
You get a mathematical breakdown of your network's health and structure.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Infrastructure Planning
A city planner wants to know which roads are critical bridges.
- Real-world use case 02
Fraud Detection
A bank analyst looks for isolated clusters in transaction data.
- Real-world use case 03
Social Mapping
A researcher wants to find the hubs of a community.
Complete set · 5capabilities
The complete Graph Analysis Toolkit capability set.
These are the exact actions your AI can choose when you ask it to work with Graph Analysis Toolkit.
01—03
3 capabilities in this set.
Part of 5 available through Graph Analysis Toolkit.
- 01 Capability
Check graph isomorphism
Determine if two different graph structures are actually identical. This is great for verifying data consistency across sources.
- 02 Capability
Get node degrees
Get the count of incoming and outgoing connections for any given node. It provides a quick look at local connectivity.
- 03 Capability
Analyze graph connectivity
Assess how well a graph is interconnected and find any isolated clusters. This helps you see the overall reach of your network.
04—05
2 capabilities in this set.
Part of 5 available through Graph Analysis Toolkit.
- 04 Capability
Calculate centrality metrics
Rank nodes based on their position and influence within the network. Use this to find the most important hubs in a system.
- 05 Capability
Detect structural vulnerabilities
Find the specific nodes or edges that would break connectivity if removed. It identifies critical bridges and articulation points.
Set up in minutes
One URL. Then ask Graph Analysis Toolkit to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Graph Analysis Toolkit from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_xdBP7tdhV3142pAnYxhpkay3vvS0b9yYRPI0rhvl/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Graph Analysis Toolkit, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Graph Analysis Toolkit for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_xdBP7tdhV3142pAnYxhpkay3vvS0b9yYRPI0rhvl/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Graph Analysis Toolkit URL.
- Step 03
Save and start
Save the connection and enable Graph Analysis Toolkit in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"graph-analysis-toolkit": {
"url": "https://edge.vinkius.com/vk_preview_xdBP7tdhV3142pAnYxhpkay3vvS0b9yYRPI0rhvl/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Graph Analysis Toolkit
Open Agent mode in chat and ask: "Using Graph Analysis Toolkit, help me...". 5 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"graph-analysis-toolkit": {
"url": "https://edge.vinkius.com/vk_preview_xdBP7tdhV3142pAnYxhpkay3vvS0b9yYRPI0rhvl/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Graph Analysis Toolkit
Ask Copilot: "Using Graph Analysis Toolkit, help me...". 5 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"graph-analysis-toolkit": {
"url": "https://edge.vinkius.com/vk_preview_xdBP7tdhV3142pAnYxhpkay3vvS0b9yYRPI0rhvl/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Graph Analysis Toolkit
Open Cascade and ask: "Using Graph Analysis Toolkit, help me...". 5 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"graph-analysis-toolkit": {
"url": "https://edge.vinkius.com/vk_preview_xdBP7tdhV3142pAnYxhpkay3vvS0b9yYRPI0rhvl/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Graph Analysis Toolkit
Ask Cline: "Using Graph Analysis Toolkit, help me...". 5 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add graph-analysis-toolkit --transport http "https://edge.vinkius.com/vk_preview_xdBP7tdhV3142pAnYxhpkay3vvS0b9yYRPI0rhvl/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Graph Analysis Toolkit
Ask Claude: "Using Graph Analysis Toolkit, show me...". 5 tools are ready
Where the request belongs
Work Graph Analysis Toolkit can move forward.
Data scientists, network engineers, and social media researchers who need to analyze complex relational data without writing custom graph libraries every time.
Data Scientist
They use this to clean and understand complex relational data, identifying clusters and influence metrics.
Network Engineer
They use this to find single points of failure in physical or digital infrastructure maps.
Social Media Researcher
They use this to identify influential hubs and community clusters in large-scale interaction data.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Shortest Path Engine
Find optimal paths in weighted graphs using Dijkstra, A*, and Bellman-Ford algorithms.
Network Flow Calculator
Solve maximum flow, minimum cut, and bipartite matching problems using Edmonds-Karp.
Minimum Spanning Tree Calculator
Calculate Minimum and Maximum Spanning Trees using Kruskal's and Prim's algorithms.
Topological Sort Engine
Perform topological sorting on DAGs using Kahn's and DFS algorithms to resolve dependencies and detect cycles.
Causal-Graph Navigator
LLMs reason by statistical proximity, confusing word co-occurrence with direct causal relationships. This capability forces causal graph isolation: identify entities as nodes, map directed influence edges, isolate statistical associations, validate graph coherence, and derive paths strictly from the DAG.
Silhouette Score Engine
Evaluate the quality and cohesion of clustering algorithms (like K-Means) with mathematically perfect Silhouette scores computed local.
Bring your own AI
Change the model, client or framework. Keep Graph Analysis Toolkit connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Graph Analysis Toolkit.
The practical details behind the request, access and result.
What can the Graph Analysis Toolkit do for my network data?
It helps you understand the structure of your connections. You can find out which nodes are the most important, identify isolated groups, and see where your network is most fragile.
Can I use Graph Analysis Toolkit to find influencers in a social network?
Yes, that is a primary use case. It ranks nodes based on their centrality, showing you who actually drives the most interaction in a directed or undirected graph.
How does Graph Analysis Toolkit help with infrastructure planning?
It identifies bridges and articulation points in your data. This means you can see exactly which roads, power lines, or servers, if they fail, would break the rest of your system's connectivity.
Can I compare two different graph layouts with Graph Analysis Toolkit?
Yes, you can check if two graphs are isomorphic. This tells you if they have the same underlying shape, regardless of what the individual nodes are named.
Will Graph Analysis Toolkit help me find clusters in my data?
It can identify connected components and isolated groups. This is useful for finding sub-communities or finding data points that aren't reaching the rest of your network.
Is Graph Analysis Toolkit good for large datasets?
It's designed for structural analysis. It handles complex algorithms like Tarjan's to give you metrics on density and connectivity across your graph data.
How do I find the number of connections for a specific node?
Use the get_node_degrees capability and provide the JSON string of your graph along with an array of the node IDs you want to check.
Can I identify critical points that might break my network?
Yes, the detect_structural_vulnerabilities capability identifies articulation points and bridges that would disconnect parts of your graph if removed.
Is there a limit to the size of graphs I can compare for isomorphism?
The check_graph_isomorphism capability is designed for small graphs. Comparing very large graphs may result in a complexity error due to performance constraints.
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