CrewAI Task Validator Connector for AI agents.
3 live capabilities
Stop circular loops and broken links in multi-agent workflows.
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Why people use CrewAI Task Validator
Fix broken CrewAI workflows with Task Dependency Graph Validator
This MCP automates that entire audit. You just point your agent at your task list, and it instantly flags every broken reference or circular loop.
What Vinkius changes
You stop guessing if your automation logic is sound.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Broken dependencies
An engineer notices an agent is failing to start because its input task doesn't exist; they use audit_context_intregity to find the missing link.
- Real-world use case 02
Infinite loops
A developer builds a complex chain that never ends; they run validate_task_graph and immediately see the circular logic.
- Real-world use case 03
Workflow scaling
An architect needs to know if adding a new step will break existing tasks; they use calculate_task_complexity to assess the impact.
Complete set · 3capabilities
The complete CrewAI Task Validator capability set.
These are the exact actions your AI can choose when you ask it to work with CrewAI Task Validator.
01—03
3 capabilities in this set.
Part of 3 available through CrewAI Task Validator.
- 01 Capability
Audit context integrity
Checks if your tasks are pointing to valid context sources. It prevents errors caused by missing or broken links in your workflow.
- 02 Capability
Calculate task complexity
Measures how much a single task affects the rest of your graph. This helps you understand the downstream impact of any changes.
- 03 Capability
Validate task graph
Scans your entire task sequence for circular dependencies. It ensures your agents won't get stuck in an infinite loop.
Set up in minutes
One URL. Then ask CrewAI Task Validator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use CrewAI Task Validator 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_AJzcvaGN7twPs1nAJvzDLUK5gkSQ5yCNbfT3o6SN/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 CrewAI Task Validator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable CrewAI Task Validator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_AJzcvaGN7twPs1nAJvzDLUK5gkSQ5yCNbfT3o6SN/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 CrewAI Task Validator URL.
- Step 03
Save and start
Save the connection and enable CrewAI Task Validator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"crewai-task-dependency-graph-validator": {
"url": "https://edge.vinkius.com/vk_preview_AJzcvaGN7twPs1nAJvzDLUK5gkSQ5yCNbfT3o6SN/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 CrewAI Task Validator
Open Agent mode in chat and ask: "Using CrewAI Task Validator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"crewai-task-dependency-graph-validator": {
"url": "https://edge.vinkius.com/vk_preview_AJzcvaGN7twPs1nAJvzDLUK5gkSQ5yCNbfT3o6SN/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 CrewAI Task Validator
Ask Copilot: "Using CrewAI Task Validator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"crewai-task-dependency-graph-validator": {
"url": "https://edge.vinkius.com/vk_preview_AJzcvaGN7twPs1nAJvzDLUK5gkSQ5yCNbfT3o6SN/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 CrewAI Task Validator
Open Cascade and ask: "Using CrewAI Task Validator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"crewai-task-dependency-graph-validator": {
"url": "https://edge.vinkius.com/vk_preview_AJzcvaGN7twPs1nAJvzDLUK5gkSQ5yCNbfT3o6SN/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 CrewAI Task Validator
Ask Cline: "Using CrewAI Task Validator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add crewai-task-dependency-graph-validator --transport http "https://edge.vinkius.com/vk_preview_AJzcvaGN7twPs1nAJvzDLUK5gkSQ5yCNbfT3o6SN/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 CrewAI Task Validator
Ask Claude: "Using CrewAI Task Validator, show me...". 3 tools are ready
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Bring your own AI
Change the model, client or framework. Keep CrewAI Task Validator connected.
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Before you connect
Questions about CrewAI Task Validator.
The practical details behind the request, access and result.
How can CrewAI Task Dependency Graph Validator prevent infinite loops?
It uses Kahn's algorithm to scan your task nodes for any circular paths that would cause an agent to run indefinitely.
Can I use CrewAI Task Dependency Graph Validator to find missing context in my agents?
Yes, it specifically audits your task references to ensure every piece of required data is actually being passed from a valid source.
Is CrewAI Task Dependency Graph Validator useful for simple, single-task workflows?
It's overkill for one task, but if you have even two or three dependent steps, it ensures the order is correct and logical.
How does CrewAI Task Dependency Graph Validator help with workflow scaling?
It allows you to calculate the complexity of individual tasks so you can see how much a change will impact your entire agentic chain.
Does CrewAI Task Dependency Graph Validator work with any AI client?
Yes, as long as you use an MCP-compatible client like Claude or Cursor through Vinkius, it works seamlessly.
What is the purpose of this MCP server?
It validates that your CrewAI task sequences do not contain circular dependencies and are properly ordered for execution.
How can I detect if a task is causing a loop?
You can use the validate_task_graph capability. If it returns a non-empty cyclicDependencies list, those tasks are part of a loop.
Can I check if all my task references are valid?
Yes, the audit_context_integrity capability will identify any tasks that attempt to pull context from non-existent tasks.
One connection away
Give your agent a direct line to CrewAI Task Validator.
Connect CrewAI Task Validator once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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