Phase-Gated Lifecycle Manager Connector for AI agents.
3 live capabilities
Enforce strict state machine workflows for autonomous agent execution
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Why people use Phase-Gated Lifecycle Manager
Stop agentic errors with Phase-Gated Lifecycle Manager
With this MCP, that oversight becomes automated and structural. The agent can't just 'decide' to move on; it has to pass through gates that verify its permissions and the quality of its work. You get a deterministic workflow where safety is a requirement, not an afterthought.
What Vinkius changes
That it turns unpredictable agent behavior into a controlled, repeatable process.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Preventing runaway API calls
An agent tries to call a delete function before it has finished the initialization phase.
- Real-world use case 02
Ensuring valid data outputs
A researcher uses an agent to scrape data.
- Real-world use case 03
Controlling multi-step financial tasks
An agent managing transactions must pass a permission check at every stage to ensure it doesn't exceed set spending limits.
Complete set · 3capabilities
The complete Phase-Gated Lifecycle Manager capability set.
These are the exact actions your AI can choose when you ask it to work with Phase-Gated Lifecycle Manager.
01—03
3 capabilities in this set.
Part of 3 available through Phase-Gated Lifecycle Manager.
- 01 Capability
Check phase invariants
Triggers a manual check of all safety rules for the current phase. It ensures the agent hasn't broken any core constraints.
- 02 Capability
Get current state
Retrieves a snapshot of the agent's current position in the lifecycle. It's useful for monitoring progress in real-time.
- 03 Capability
Transition to next phase
Attempts to move the workflow to the next stage. It only works if all current phase requirements are met.
Set up in minutes
One URL. Then ask Phase-Gated Lifecycle Manager to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Phase-Gated Lifecycle Manager 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_0Jkm1Xh7GPRa2JUifekmaKyLBWQdobQ1HUmW6Cle/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 Phase-Gated Lifecycle Manager, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Phase-Gated Lifecycle Manager for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_0Jkm1Xh7GPRa2JUifekmaKyLBWQdobQ1HUmW6Cle/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 Phase-Gated Lifecycle Manager URL.
- Step 03
Save and start
Save the connection and enable Phase-Gated Lifecycle Manager in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"phase-gated-lifecycle-manager": {
"url": "https://edge.vinkius.com/vk_preview_0Jkm1Xh7GPRa2JUifekmaKyLBWQdobQ1HUmW6Cle/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 Phase-Gated Lifecycle Manager
Open Agent mode in chat and ask: "Using Phase-Gated Lifecycle Manager, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"phase-gated-lifecycle-manager": {
"url": "https://edge.vinkius.com/vk_preview_0Jkm1Xh7GPRa2JUifekmaKyLBWQdobQ1HUmW6Cle/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 Phase-Gated Lifecycle Manager
Ask Copilot: "Using Phase-Gated Lifecycle Manager, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"phase-gated-lifecycle-manager": {
"url": "https://edge.vinkius.com/vk_preview_0Jkm1Xh7GPRa2JUifekmaKyLBWQdobQ1HUmW6Cle/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 Phase-Gated Lifecycle Manager
Open Cascade and ask: "Using Phase-Gated Lifecycle Manager, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"phase-gated-lifecycle-manager": {
"url": "https://edge.vinkius.com/vk_preview_0Jkm1Xh7GPRa2JUifekmaKyLBWQdobQ1HUmW6Cle/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 Phase-Gated Lifecycle Manager
Ask Cline: "Using Phase-Gated Lifecycle Manager, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add phase-gated-lifecycle-manager --transport http "https://edge.vinkius.com/vk_preview_0Jkm1Xh7GPRa2JUifekmaKyLBWQdobQ1HUmW6Cle/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 Phase-Gated Lifecycle Manager
Ask Claude: "Using Phase-Gated Lifecycle Manager, show me...". 3 tools are ready
Where the request belongs
Work Phase-Gated Lifecycle Manager can move forward.
This is for engineers and researchers who are tired of 'hallucination loops' and unauthorized capability calls in their autonomous workflows.
AI Engineer
Building complex agentic loops that require strict safety guardrails and predictable state transitions.
DevOps Engineer
Managing the deployment of autonomous agents that interact with sensitive production environments.
MLOps Specialist
Ensuring that agentic outputs meet specific structural and data quality standards during automated runs.
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Bring your own AI
Change the model, client or framework. Keep Phase-Gated Lifecycle Manager connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
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Before you connect
Questions about Phase-Gated Lifecycle Manager.
The practical details behind the request, access and result.
How does Phase-Gated Lifecycle Manager prevent agent errors?
It forces agents to follow a strict sequence of stages. An agent cannot move from one task to the next until it passes specific safety and data checks, preventing it from skipping vital steps.
Can I use Phase-Gated Lifecycle Manager with any AI client?
Yes, as long as your client is MCP-compatible, such as Claude, Cursor, or Windsurf, you can use this to manage your agent's workflow.
Will this MCP slow down my agent's execution?
There is a small amount of latency introduced by the safety checks, but this is a deliberate trade-off to ensure the agent stays within its permitted boundaries and produces valid data.
How do I know if my agent has violated a rule?
The system will block the transition to the next phase if a rule is broken. You can check the current status at any time to see if the agent is stuck or if a specific safety check failed.
Is this useful for production-grade AI agents?
Absolutely. It is specifically designed for users who need to move beyond experimental scripts and into reliable, deterministic agentic workflows that can be trusted in real-world environments.
How do I check if my agent can move to the next phase?
You can use the get_current_state capability to check the canTransition boolean, or call check_phase_invariants to see exactly which rules are blocking progress.
What happens if an invariant check fails?
If an invariant fails, the transition_to_next_phase capability will block the transition, ensuring the agent cannot proceed until the required safety or structural conditions are met.
Does this manager support custom invariants?
The manager enforces core invariants like PERMISSION_BOUNDARY and STRUCTURAL_INTEGRITY to maintain strict control over the agent lifecycle.
One connection away
Give your agent a direct line to Phase-Gated Lifecycle Manager.
Connect Phase-Gated Lifecycle Manager once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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