Layer exposes an MCP-compatible server that lets AI agents and LLM-powered tools query your workspace data programmatically. If you use tools like Claude Desktop, Cursor, or custom AI agents, the MCP server gives them read access to your assets, discovered apps, and compliance controls.
The MCP server requires API access, available on the Scale plan.
Endpoint
POST https://app.axiomlayer.io/api/mcp
initialize — returns server capabilities.tools/list — lists available tools.tools/call — executes a tool and returns results.
A GET request to the same URL returns server metadata (name, version, and available tools).
Authentication
All requests must include a valid session. The MCP server uses the same authentication as the rest of the Layer API — requests are scoped to your organization automatically.
| Tool | Description |
|---|
axiomlayer_list_assets | List assets (SaaS apps, devices, users) in your workspace |
drift_list_apps | List discovered shadow IT apps from drift detection |
codex_list_controls | List compliance controls with framework metadata |
platform_get_overview | Get a cross-product summary with counts of assets, discovered apps, and controls |
Common parameters
Every tool accepts these optional parameters:
| Parameter | Type | Description |
|---|
limit | integer (1–200) | Maximum number of results to return |
status | string | Filter results by status |
search | string | Case-insensitive text search across names and identifiers |
Example request
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "axiomlayer_list_assets",
"arguments": {
"limit": 10,
"search": "slack"
}
}
}
Example response
{
"jsonrpc": "2.0",
"id": 1,
"result": {
"content": [
{
"type": "text",
"text": "Found 2 assets matching 'slack'..."
}
],
"structuredContent": {
"assets": [
{
"id": "asset_abc123",
"name": "Slack",
"asset_type": "application",
"status": "active"
}
],
"count": 2
}
}
}
Use with Claude Desktop
To connect Layer to Claude Desktop, add the MCP server to your Claude Desktop configuration:
{
"mcpServers": {
"axiomlayer": {
"url": "https://app.axiomlayer.io/api/mcp"
}
}
}
