Runlayer

What is Runlayer?

Runlayer is a platform that lets companies approve, secure and monitor how employees use AI tools. It places an MCP gateway between AI clients such as Cursor, Claude Code and VS Code and the servers they connect to, so identity, policy and audit logs apply before company systems are reached. A catalog of scanned MCP servers, reusable skills and plugins gives employees approved capabilities, and Runlayer Agents runs hosted background agents on Runlayer infrastructure. Watch finds unsanctioned MCP servers and client configurations on devices through existing device-management tools, and Runtime Security checks risky tool behavior inline. Access can be mapped to users, groups, roles and agents, with SSO and SCIM. It can be hosted by Runlayer or self-hosted on your AWS account or Kubernetes cluster. Pricing is not published; you book a demo.

Use cases

• Route MCP requests through a governed gateway
• Discover unsanctioned AI tools on devices
• Publish approved skills and plugins
• Block risky agent tool calls
• Set access policies for agents and users
• Track AI adoption and cost
• Run hosted background agents

Who it's for

• IT and security teams
• AI platform teams
• AI transformation leads
• Engineering managers

Why use Runlayer

• Gives security teams visibility into AI tools and MCP servers employees use outside approved channels.
• Employees get approved tools in one place, rather than configuring MCP servers by hand.
• Policies tie access to your existing identity stack and can be audited afterwards.
• Choose Runlayer-hosted or self-host the platform in your own cloud.

Runlayer features

• MCP gateway with identity, policy and audit
• Catalog of security-scanned MCP servers
• Reusable skills and plugins for agents
• Hosted background agents
• Shadow AI discovery of MCP servers and client configs
• Runtime security checks on tool use
• Policy model covering users, groups, roles, agents and tools
• SSO and SCIM support
• ROI and observability dashboards
• Self-hosted deployment on AWS ECS or Kubernetes

Runlayer integrations

• Cursor
• Claude Code
• VS Code
• GitHub Copilot
• ChatGPT
• Claude Desktop
• Windsurf
• Slack
• Linear
• GitHub
• Google Drive
• HubSpot
• Gmail
• Jamf
• Intune
• Kandji

How to get started with Runlayer

1. Deploy Runlayer hosted by the vendor, or self-host it on AWS or Kubernetes.
2. Connect your identity provider and define who can use which tools and resources.
3. Roll out approved client configurations and shadow AI detection through your device-management tool.
4. Employees install approved MCP servers, skills and plugins from the catalog.
5. Review requests, findings and usage in the observability views.

Runlayer limitations

• Pricing is not published; you book a demo.
• Self-hosting requires your own AWS or Kubernetes setup and updates.

Runlayer pricing

Runlayer is sold on custom quotes, so its prices aren't published.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

Runlayer alternatives

The main Runlayer alternatives listed on Debuly are Natoma, Portkey, Kong AI Gateway, Orq.ai, Tuning Engines and Speakeasy AI Control Plane. The table compares pricing and platforms; order is A–Z.

1. 

   Kong AI Gateway

   Gateway and control layer for LLM, MCP and agent traffic, with usage metering, billing and cost limits built in.

   Developer platformsAutomation and agents
   Contact salesVisit Kong AI Gateway (official site)
2. Na

   Natoma

   Enterprise MCP gateway that connects AI agents to company tools with identity, policy and audit controls.

   Automation and agentsDeveloper platforms
   FreemiumVisit Natoma (official site)
3. 

   Orq.ai

   AI gateway and control layer that routes requests to 500+ models, with observability, guardrails, budgets and an MCP Gateway.

   Developer platformsAutomation and agents
   FreemiumVisit Orq.ai (official site)
4. 

   Portkey

   AI gateway with observability, guardrails, caching and prompt management for teams running LLM apps in production.

   Developer platformsAutomation and agents
   FreemiumVisit Portkey (official site)
5. 

   Speakeasy AI Control Plane

   Governance layer between AI agents and company systems that connects MCP servers, filters risky data, scopes access by role and logs every tool call.

   Developer platformsAutomation and agents
   PaidVisit Speakeasy AI Control Plane (official site)
6. 

   Tuning Engines

   Control plane that credentials, governs and tracks software AI agents and robots, with an OpenAI-compatible gateway.

   Developer platformsAutomation and agents
   Contact salesVisit Tuning Engines (official site)

Runlayer FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from runlayer.com · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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