Runlayer Connector for AI agents.

27 live capabilities

Manage enterprise security policies and audit AI agent permissions.

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AI Agent

Why people use Runlayer

Runlayer for Securing Enterprise AI Infrastructure

Runlayer changes that by putting a control plane in front of your entire AI ecosystem. Instead of hunting down individual servers, you can use your agent to list_mcp_servers and see everything at once. You can set global rules with create_policy and immediately see the results in your audit logs. It turns a chaotic mess of connections into a managed, secure infrastructure.

What Vinkius changes

You replace manual dashboard clicking with natural language commands to manage your entire AI infrastructure.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

Real-world use case 01

Compliance Audit

An auditor asks for a report on all agent actions.
Real-world use case 02

Shadow AI Hunt

A security lead suspects unauthorized AI use.
Real-world use case 03

Onboarding a New Team

A platform engineer needs to give a new team access to a capability.

Complete set · 27capabilities

The complete Runlayer capability set.

These are the exact actions your AI can choose when you ask it to work with Runlayer.

Capability set01 / 07

01—04

4 capabilities in this set.

Part of 27 available through Runlayer.

01 Capability
Create mcp server
Onboard a new Connector by providing its name and connection details. You can also assign skills and policies during the registration process.
02 Capability
Create policy
Define new security rules or access requirements for your Connector ecosystem. Use this to restrict access to sensitive data or servers.
03 Capability
Create skill
Register a new reusable capability that your agents can use across different tasks. This helps you codify agent behaviors for consistency.
04 Capability
Delete agent
Remove an AI agent from your organization and disconnect it from all servers. This action clears all associated policy assignments.

Capability set02 / 07

05—08

4 capabilities in this set.

Part of 27 available through Runlayer.

05 Capability
Delete mcp server
Disconnect a specific Connector and remove all associated agent permissions. Use this to clean up old or deprecated endpoints.
06 Capability
Delete policy
Remove a security policy so that resources are no longer governed by its rules. This is useful when updating your security standards.
07 Capability
Delete skill
Delete a specific skill definition without removing the underlying server capabilities. Use this to prune your list of available agent capabilities.
08 Capability
Get agent
View the configuration and access patterns for a specific registered agent. Use this to troubleshoot connectivity or audit specific users.

Capability set03 / 07

09—12

4 capabilities in this set.

Part of 27 available through Runlayer.

09 Capability
Get audit logs
Pull the full history of actions, identities, and outcomes for your organization. This is essential for compliance and security investigations.
10 Capability
Get mcp server
Review the configuration and security compliance of a specific Connector. Use this to verify that your endpoints meet company standards.
11 Capability
Get scan results
View the findings from a shadow AI discovery scan to find policy violations. Use this to see which unauthorized capabilities were detected.
12 Capability
Get skill
Check the configuration and dependencies for a specific registered skill. This helps you understand how different capabilities are linked.

Capability set04 / 07

13—16

4 capabilities in this set.

Part of 27 available through Runlayer.

13 Capability
List api keys
See all active keys in your organization to prepare for rotation or audits. This helps you identify unused keys that might be a risk.
14 Capability
List agents
See every agent in your organization along with their active skills and access. Use this to understand your current agent ecosystem.
15 Capability
List mcp servers
View your entire inventory of Connectors and their current status. This is the first step for auditing your infrastructure.
16 Capability
List members
Audit the members of your organization and their assigned roles. Use this to review who has access to your AI control plane.

Capability set05 / 07

17—20

4 capabilities in this set.

Part of 27 available through Runlayer.

17 Capability
List policies
Review all active security policies and see how many violations have occurred. This gives you a quick snapshot of your security posture.
18 Capability
List skills
See all registered capabilities and how often they've been used. Use this to discover which skills are most popular across the team.
19 Capability
Revoke api key
Immediately cancel a compromised or unused API key using its unique ID. This is a critical step for handling security incidents.
20 Capability
Run mcp sweep scan
Start a security scan to find unauthorized AI capabilities across your organization. This proactively identifies shadow AI risks.

Capability set06 / 07

21—24

4 capabilities in this set.

Part of 27 available through Runlayer.

21 Capability
Update mcp server
Change the connection details or policy assignments for an Connector. Use this to rotate credentials or update endpoints.
22 Capability
Update policy
Refine security requirements or update access controls on an existing policy. Use this to tighten or loosen security rules as needed.
23 Capability
Update skill
Adjust the definition or documentation for a specific registered skill. Use this to keep your agent capabilities up to date.
24 Capability
Create api key
Create a new API key for your Runlayer organization and get the metadata immediately. Use this to set up integrations for your CI/CD pipelines.

Capability set07 / 07

25—27

3 capabilities in this set.

Part of 27 available through Runlayer.

25 Capability
Get organization
Get a high-level overview of your entire Runlayer organization and ecosystem. This is a great way to verify your current configuration.
26 Capability
Update agent
Modify the configuration or metadata for an existing registered agent. Use this to update assignments or change agent types.
27 Capability
Create agent
Register a new AI agent with specific types like Cursor or VS Code to the control plane. This helps you onboard agents with proper security guardrails.

Set up in minutes

One URL. Then ask Runlayer to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Runlayer from the conversation.

Choose your client

Live preview

Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_PaTg4jiaCBAOZI6pcScShh9467XvfcKP4495NMGs/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 Runlayer, and paste the URL above.
Step 03

Turn it on in chat

Select +, open Connectors, and enable Runlayer for the conversation.

ChatGPT · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_PaTg4jiaCBAOZI6pcScShh9467XvfcKP4495NMGs/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 Runlayer URL.
Step 03

Save and start

Save the connection and enable Runlayer in your conversation. Desktop may ask you to restart once.

Cursor · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "runlayer": {
      "url": "https://edge.vinkius.com/vk_preview_PaTg4jiaCBAOZI6pcScShh9467XvfcKP4495NMGs/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 Runlayer

Open Agent mode in chat and ask: "Using Runlayer, help me...". 27 tools available

VS Code Copilot · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "runlayer": {
      "url": "https://edge.vinkius.com/vk_preview_PaTg4jiaCBAOZI6pcScShh9467XvfcKP4495NMGs/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 Runlayer

Ask Copilot: "Using Runlayer, help me...". 27 tools available

Windsurf · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "runlayer": {
      "url": "https://edge.vinkius.com/vk_preview_PaTg4jiaCBAOZI6pcScShh9467XvfcKP4495NMGs/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 Runlayer

Open Cascade and ask: "Using Runlayer, help me...". 27 tools available

Cline · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "runlayer": {
      "url": "https://edge.vinkius.com/vk_preview_PaTg4jiaCBAOZI6pcScShh9467XvfcKP4495NMGs/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 Runlayer

Ask Cline: "Using Runlayer, help me...". 27 tools available

Claude Code · Terminal command

Official guide ↗

Advanced setup

claude mcp add runlayer --transport http "https://edge.vinkius.com/vk_preview_PaTg4jiaCBAOZI6pcScShh9467XvfcKP4495NMGs/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 Runlayer

Ask Claude: "Using Runlayer, show me...". 27 tools are ready

Where the request belongs

Work Runlayer can move forward.

Built around the request

Runlayer is for the IT security officer who needs to audit every AI interaction and the platform engineer who's tired of manually onboarding servers for every new team.

01

IT Security Officer

Uses this to audit logs and run shadow AI discovery scans to ensure the company stays compliant.

02

AI Governance Officer

Sets global security policies and manages agent permissions to prevent unauthorized data access.

03

Platform Engineer

Onboards Connectors and manages skills at scale to provide consistent capabilities to all internal teams.

04

Compliance Manager

Retrieves audit trails and verifies that all AI agents are operating within defined security guardrails.

Build the capability set

Each Connector adds new actions and data without changing how you work.

Browse Connectors

01 18 capabilities

Alpic

AI MCP infrastructure: deploy, manage, and monitor MCP servers programmatically via agents.

02 8 capabilities

MintMCP

Enterprise MCP Gateway: manage authentication, monitoring, and security guardrails via centralized virtual servers.

03 11 capabilities

Smithery

AI MCP registry: discover, search, and connect MCP servers to your agents via Smithery.

04 38 capabilities

Hetzner

Manage Hetzner Cloud infrastructure—list servers, manage firewalls, and control power states directly from any AI agent.

05 8 capabilities

PAN-OS

Connect PAN-OS to any AI agent via MCP.

06 5 capabilities

Flystack

Manage cloud infrastructure. audit deployments, clusters, and metrics via AI.

Bring your own AI

Change the model, client or framework. Keep Runlayer connected.

Before you connect

Questions about Runlayer.

The practical details behind the request, access and result.

What is Runlayer MCP for?

Runlayer is an enterprise control plane that lets you manage your entire AI infrastructure. It gives you a central place to register servers, manage agent skills, and enforce security policies across your organization.

Can I use Runlayer MCP to find unauthorized AI capabilities?

Yes. You can use the sweep scan feature to proactively discover shadow AI and unauthorized Connectors being used across your network.

How does Runlayer MCP help with security compliance?

It provides complete audit logs of every action your agents take. This makes it easy to generate reports for auditors and ensure your AI usage stays within company rules.

Can I manage my API keys through Runlayer MCP?

Yes. You can create, list, and revoke API keys for your organization directly through the control plane to keep your credentials secure.

How does Runlayer MCP handle agent permissions?

You can create specific security policies that define exactly which agents have access to which Connectors and skills, ensuring a zero-trust approach to AI.

Is Runlayer MCP good for large organizations?

It's specifically built for enterprise scale. It's designed for companies managing many servers and agents who need centralized governance and visibility.

Do I need a Runlayer enterprise subscription to use this Connector?

Yes, this Connector requires an active Runlayer organization with API access. Runlayer is an enterprise-grade control plane, so you need a valid organizational subscription. Contact Runlayer sales to get started and obtain your organization API key.

Can this Connector detect unauthorized AI usage (shadow AI)?

Yes! The run_mcp_sweep_scan capability initiates comprehensive shadow AI discovery across devices, detecting unauthorized Connectors, OpenClaw installs, Skills, and agents. Results include policy violations and security risks across your organization's endpoints.

What types of AI agents does Runlayer support?

Runlayer supports Claude Desktop, Cursor, VS Code with Copilot, Windsurf, and custom AI agents. Each agent type can be registered with specific security policies, assigned Connectors, and monitored through the audit trail. New agent types can be added as custom integrations.

Do I need a Runlayer enterprise subscription to use this MCP?

Yes, this MCP server requires an active Runlayer organization with API access. Runlayer is an enterprise-grade control plane, so you need a valid organizational subscription. Contact Runlayer sales to get started and obtain your organization API key.

Can this MCP server detect unauthorized AI usage (shadow AI)?

Yes! The run_mcp_sweep_scan capability initiates comprehensive shadow AI discovery across devices, detecting unauthorized MCP servers, OpenClaw installs, Skills, and agents. Results include policy violations and security risks across your organization's endpoints.

One connection away

Give your agent a direct line to Runlayer.

Connect Runlayer once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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