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Runlayer

Runlayer MCP Server

Built by Vinkius GDPR ToolsFree for Subscribers

AI enterprise control plane: manage MCP servers, skills, agents, and security policies via agents.

Vinkius supports streamable HTTP and SSE.

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Runlayer
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

What is the Runlayer MCP Server?

The Runlayer MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Runlayer via 27 tools. AI enterprise control plane: manage MCP servers, skills, agents, and security policies via agents. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (27)

create_agentcreate_api_keycreate_mcp_servercreate_policycreate_skilldelete_agentdelete_mcp_serverdelete_policydelete_skillget_agentget_audit_logsget_mcp_serverget_organizationget_scan_resultsget_skilllist_agentslist_api_keyslist_mcp_serverslist_memberslist_policieslist_skillsrevoke_api_keyrun_mcp_sweep_scanupdate_agentupdate_mcp_serverupdate_policyupdate_skill

Tools for your AI Agents to operate Runlayer

Ask your AI agent "Show me all MCP servers registered in our organization and their security status" and get the answer without opening a single dashboard. With 27 tools connected to real Runlayer data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

Vinkius works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Runlayer MCP Server capabilities

27 tools
create_agent

Requires agent name and type (claude_desktop, cursor, vs_code, custom). Optionally assign MCP servers, skills, and policies during registration. Returns the created agent details. Use this to onboard new AI agents to your enterprise control plane with proper security guardrails. Register a new AI agent in Runlayer

create_api_key

Returns the key value (shown only once) and metadata. Use this to create keys for integrations, CI/CD pipelines, or service accounts. Store the key value securely immediately after creation. Create a new API key for your Runlayer organization

create_mcp_server

Requires server name and connection details (URL, authentication method). Optionally assign skills, agents, and policies during registration. Returns the created server details including the new UUID. Use this to onboard new MCP servers to your enterprise control plane. Register a new MCP server in Runlayer

create_policy

Requires policy name and rule definitions. Returns the created policy. Use this to enforce security standards, restrict access to sensitive MCP servers, or define audit requirements. Create a new security or access policy in Runlayer

create_skill

Requires skill name and description. Optionally define input/output schemas and initial MCP server assignments. Returns the created skill details. Use this to codify reusable agent capabilities for consistent use across your organization. Register a new skill (agent capability) in Runlayer

delete_agent

This disconnects the agent from all MCP servers and removes policy assignments. Requires the agent ID. Confirm with the user before proceeding. Remove an AI agent from Runlayer

delete_mcp_server

This action disconnects all associated agents and removes policy assignments. Requires the server UUID. Confirm with the user before proceeding. Remove an MCP server from Runlayer

delete_policy

All resources previously governed by this policy will no longer be subject to its rules. Requires the policy ID. Confirm with the user before proceeding. Remove a security or access policy from Runlayer

delete_skill

Does not delete the underlying MCP server tools. Requires the skill ID. Confirm with the user before proceeding. Remove a skill from Runlayer

get_agent

Requires the agent ID from list_agents results. Use this to review agent configuration, audit access patterns, or troubleshoot connectivity. Get detailed information about a specific AI agent

get_audit_logs

Returns timestamps, actor identities, action types, affected resources, and outcomes. Use this for compliance reporting, security investigations, or operational troubleshooting. Get audit logs for your Runlayer organization

get_mcp_server

Requires the server UUID from list_mcp_servers results. Use this to review server configuration, verify security compliance, or troubleshoot connectivity issues. Get detailed information about a specific MCP server

get_organization

Use this to verify your organization configuration or get an overview of your MCP ecosystem. Get your Runlayer organization details

get_scan_results

Requires the scan ID from run_mcp_sweep_scan results. Use this to review shadow AI discoveries, identify policy violations, or generate compliance reports. Get results from an MCP sweep scan

get_skill

Requires the skill ID from list_skills results. Use this to review skill configuration or understand capability dependencies. Get detailed information about a specific skill

list_agents

Returns agent names, IDs, types (Claude Desktop, Cursor, custom), assigned MCP servers, active skills, policy compliance status, and last activity timestamps. Use this to understand your agent ecosystem and verify which agents have access to which MCP servers. List all AI agents registered in your Runlayer organization

list_api_keys

Use this to audit key inventory, identify unused keys, or prepare for key rotation. List all API keys for your Runlayer organization

list_mcp_servers

Returns server names, UUIDs, status (active, inactive, blocked), assigned skills, connected agents, policy associations, and last activity timestamps. Use this as the first step to understand your MCP server inventory before managing individual servers, applying policies, or reviewing security posture. List all registered MCP servers in your Runlayer organization

list_members

Use this to audit access, review role assignments, or identify inactive accounts. List all members of your Runlayer organization

list_policies

Returns policy names, descriptions, enforcement status, affected resources, and violation counts. Use this to review your security posture before creating or modifying policies. List all security and access policies in your Runlayer organization

list_skills

Returns skill names, descriptions, associated MCP servers, usage counts, and version information. Use this to discover available capabilities before assigning them to agents or MCP servers. List all skills registered in your Runlayer organization

revoke_api_key

This action cannot be undone. Requires the key ID. Use this for compromised keys, unused keys, or during security incidents. Revoke an API key immediately

run_mcp_sweep_scan

Returns a scan ID which can be used with get_scan_results to retrieve findings. Use this for security assessments, compliance audits, or shadow AI detection. Run an MCP sweep scan to discover shadow AI across your organization

update_agent

Only pass the fields you want to change. Requires the agent ID. Use this to update agent assignments or modify metadata. Update an existing AI agent configuration

update_mcp_server

Only pass the fields you want to change. Requires the server UUID. Use this to update server endpoints, rotate credentials, or modify policy assignments. Update an existing MCP server configuration

update_policy

Only pass the fields you want to change. Requires the policy ID. Use this to refine security requirements, update access controls, or modify audit rules. Update an existing security or access policy

update_skill

Only pass the fields you want to change. Requires the skill ID. Use this to refine skill definitions or update documentation. Update an existing skill configuration

What the Runlayer MCP Server unlocks

What you can do

Connect AI agents to the Runlayer Enterprise Control Plane for comprehensive MCP ecosystem management:

  • Manage MCP Servers — register, inspect, update, and remove serverless MCP endpoints
  • Manage Skills — create, assign, and version reusable agent capabilities
  • Manage Agents — onboard AI agents (Claude, Cursor, VS Code, custom) with proper security guardrails
  • Enforce Policies — define and audit security policies governing MCP access and agent permissions
  • Audit Everything — retrieve complete audit trails of all MCP, skill, agent, and policy operations
  • Manage API Keys — create, rotate, and revoke organization and personal API keys
  • Run Security Scans — discover shadow AI, unauthorized MCP servers, and policy violations across your organization
  • Monitor Organization Health — review member activity, server inventory, and security posture

How it works

1. Generate an Organization API Key from Runlayer dashboard (Settings > API Keys)
2. Configure your Runlayer host URL (your organization's Runlayer instance)
3. Ask your AI agent to manage servers, enforce policies, audit logs, or discover shadow AI
4. Natural language commands replace manual Runlayer dashboard operations

Who is this for?

Essential for IT security teams, AI governance officers, platform engineers, compliance managers, and enterprise architects deploying MCP at scale. Let AI agents handle continuous MCP server registration, policy enforcement, audit log review, API key rotation, and shadow AI discovery. Perfect for organizations managing 10+ MCP servers and agents who need to maintain security compliance, prevent unauthorized AI usage, and enable AI-driven infrastructure governance.

Frequently asked questions about the Runlayer MCP Server

01

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.

02

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

Yes! The run_mcp_sweep_scan tool 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.

03

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 MCP servers, and monitored through the audit trail. New agent types can be added as custom integrations.

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