runlayer.com
Runlayer is an enterprise AI platform for governing and enabling AI agents, especially around MCP-based tool access. It provides policy, identity, runtime security, audit logging, and deployment tooling for connecting agents to approved internal and third-party systems.
Runlayer exposes a tenant-scoped REST management API, tenant-scoped MCP proxy surfaces for Runlayer’s self-MCP and plugin/connectors, and a Python-distributed `runlayer` CLI; auth is via Runlayer API keys, agent-account OAuth client credentials, or CLI login/device flow depending on surface.
- Runlayer Management APIdiscovered
- Runlayer CLIdiscovered
In the Runlayer UI, create a key under Settings → Personal API keys or Settings → Organization API keys as documented on API. Use a personal key for user-scoped management and automation; use an organization key for workload-specific automation with the listed org roles.
Create an agent account in Settings → Agent Accounts in your Runlayer instance, then copy its Client ID and Client Secret as described in Agent Account Authentication Recipes. Use them with the token endpoint at `/api/v1/oauth/token` to mint agent bearer tokens for M2M or OBO flows.
conventions · 1/8 published
- integrations.json✗
/.well-known/integrations.json - llms.txt✓https://runlayer.com/llms.txt
- API catalog✗
/.well-known/api-catalog - OpenAPI document✗
/api/schema/, /openapi.json, /swagger.json, /api/openapi.json, or /v1/openapi.json - MCP server card✗
/.well-known/mcp/server-card.json - OAuth protected resource✗
/.well-known/oauth-protected-resource - Agent card✗
/.well-known/agent-card.json - Agent skills✗
/.well-known/agent-skills/index.json
Publish these signals → /publishing