Topological Sort Engine Connector for AI agents.
3 live capabilities
Map out complex task dependencies and build sequences.
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Why people use Topological Sort Engine
Topological Sort Engine for Dependency Resolution
With this Connector, you just hand the list of requirements to your agent. It does the heavy lifting of calculating the sequence. You get a straight line of instructions instead of a tangled web of if statements.
What Vinkius changes
You get a guaranteed order of operations for any complex dependency web.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
CI/CD Pipeline Logic
A DevOps engineer has a mess of 50 build steps.
- Real-world use case 02
Package Manager Resolution
A developer is building a capability that installs libraries.
- Real-world use case 03
Data Pipeline Orchestration
A data engineer needs to run 100 jobs.
Complete set · 3capabilities
The complete Topological Sort Engine capability set.
These are the exact actions your AI can choose when you ask it to work with Topological Sort Engine.
01—03
3 capabilities in this set.
Part of 3 available through Topological Sort Engine.
- 01 Capability
Identify cycles
Find and list every node involved in a circular dependency. This helps you spot why a process is stuck in an infinite loop.
- 02 Capability
Calculate dfs sort
Produce a valid execution order using a depth-first search approach. This works well for specific types of graph traversals where DFS is preferred.
- 03 Capability
Calculate kahn sort
Generate a linear execution order by reducing in-degrees. Use this when you need a standard, predictable sequence for task completion.
Set up in minutes
One URL. Then ask Topological Sort Engine to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Topological Sort Engine 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_50TICQOdkRtSSnySJVqQ2q2nkHalRtTGVu9CPbCv/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 Topological Sort Engine, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Topological Sort Engine for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_50TICQOdkRtSSnySJVqQ2q2nkHalRtTGVu9CPbCv/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 Topological Sort Engine URL.
- Step 03
Save and start
Save the connection and enable Topological Sort Engine in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"topological-sort-engine": {
"url": "https://edge.vinkius.com/vk_preview_50TICQOdkRtSSnySJVqQ2q2nkHalRtTGVu9CPbCv/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 Topological Sort Engine
Open Agent mode in chat and ask: "Using Topological Sort Engine, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"topological-sort-engine": {
"url": "https://edge.vinkius.com/vk_preview_50TICQOdkRtSSnySJVqQ2q2nkHalRtTGVu9CPbCv/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 Topological Sort Engine
Ask Copilot: "Using Topological Sort Engine, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"topological-sort-engine": {
"url": "https://edge.vinkius.com/vk_preview_50TICQOdkRtSSnySJVqQ2q2nkHalRtTGVu9CPbCv/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 Topological Sort Engine
Open Cascade and ask: "Using Topological Sort Engine, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"topological-sort-engine": {
"url": "https://edge.vinkius.com/vk_preview_50TICQOdkRtSSnySJVqQ2q2nkHalRtTGVu9CPbCv/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 Topological Sort Engine
Ask Cline: "Using Topological Sort Engine, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add topological-sort-engine --transport http "https://edge.vinkius.com/vk_preview_50TICQOdkRtSSnySJVqQ2q2nkHalRtTGVu9CPbCv/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 Topological Sort Engine
Ask Claude: "Using Topological Sort Engine, show me...". 3 tools are ready
Where the request belongs
Work Topological Sort Engine can move forward.
This is for the engineers who deal with complex pipelines and build systems where one wrong step breaks everything. If you're tired of manual dependency mapping, this is your fix.
DevOps Engineer
Mapping out 50+ interdependent CI/CD steps and ensuring no two jobs conflict.
Software Engineer
Building custom build capabilities or package managers that need to resolve library requirements.
Data Engineer
Orchestrating large-scale data jobs where the output of one must feed into the next.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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CrewAI Task Dependency Graph Validator
Ensures multi-agent task sequences are free of circular logic and properly ordered.
Circular Code Dependency Detector
Identify import cycles and measure module interdependence in JavaScript, TypeScript, and Python projects.
Bring your own AI
Change the model, client or framework. Keep Topological Sort Engine 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 Topological Sort Engine.
The practical details behind the request, access and result.
Can Topological Sort Engine help with my build errors?
Yes. It identifies exactly which dependencies are causing your build to fail or hang by pinpointing circular loops in your task graph.
How does Topological Sort Engine find circular dependencies?
It analyzes your nodes and edges to find any paths that loop back on themselves. It then lists every node involved so you can fix the logic.
Can I use Topological Sort Engine for data pipelines?
Absolutely. It's perfect for mapping out which data jobs need to run first based on the output of previous steps.
What is the difference between Kahn's and DFS in this Connector?
Kahn's algorithm is great for standard linear task ordering. DFS is a different traversal method that's useful for specific types of graph reconstruction.
Will Topological Sort Engine work for my project management tasks?
Yes. You can map out your project milestones and dependencies to get a clear, linear roadmap for your team to follow.
How do I find out which task to run first with Topological Sort Engine?
The Connector analyzes your requirements and gives you a valid execution order, showing you exactly which tasks have no remaining prerequisites.
What is the difference between Kahn's algorithm and DFS-based sorting?
Kahn's algorithm uses an in-degree reduction approach (BFS), while the DFS-based method explores paths deeply before backtracking to reconstruct the sequence.
How can I find nodes that are causing a circular dependency?
You can use the identify_cycles capability, which specifically traverses the graph to isolate and return only the nodes involved in loops.
What happens if my input graph is not a DAG?
If a cycle is detected, the sorting capabilities will return a failure state with an error message describing the nature of the loop.
One connection away
Give your agent a direct line to Topological Sort Engine.
Connect Topological Sort Engine once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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