diff --git a/docs/explorations/0194_[_]_EXTENSIBILITY_FABRIC_PLUGINS_LABS_AI_EDITOR.md b/docs/explorations/0194_[_]_EXTENSIBILITY_FABRIC_PLUGINS_LABS_AI_EDITOR.md
index 7871959d4..60597dd9b 100644
--- a/docs/explorations/0194_[_]_EXTENSIBILITY_FABRIC_PLUGINS_LABS_AI_EDITOR.md
+++ b/docs/explorations/0194_[_]_EXTENSIBILITY_FABRIC_PLUGINS_LABS_AI_EDITOR.md
@@ -526,12 +526,15 @@ classDiagram
 
 ### Phase 2 — AI drives the ecosystem
 
-- [ ] Register `@xnetjs/labs/agent-tools` (`lab_run`/`lab_list`/`lab_create`/
+- [~] Register `@xnetjs/labs/agent-tools` (`lab_run`/`lab_list`/`lab_create`/
       `lab_get`/`lab_run_saved`) with `mcp-server.ts` and the in-app agent runtime,
-      backed by an injected `LabAgentBackend`. _(deferred — the labs `LabAgentTool`
-      shape is already MCP-shaped; the remaining work is the cross-package adapter
-      (lives in labs, which already depends on plugins) + the app/electron MCP
-      registration.)_
+      backed by an injected `LabAgentBackend`. _As-built: `labs/agent-tools-ai.ts`'s
+      `labAgentToolsToAiTools()` adapts the (already MCP-shaped) `LabAgentTool`s to
+      the `AiCallableTool` shape `@xnetjs/plugins` uses — execution tools (`lab_run`
+      etc.) flagged `high` risk, reads `low`, input schemas pass straight through
+      (`LabToolPropertySchema ⊆ AiJsonSchema`). Lives in labs (which already
+      depends on plugins, avoiding the cycle). The app/electron MCP-server +
+      agent-runtime registration of the result is the remaining wiring._
 - [x] Add `contributionsAsAiTools()` + an `aiExposed`/`inputSchema` opt-in on
       `CommandContribution`; expose them as capability-scoped, callable
       `AiToolDefinition`s. _As-built: `AiCommandExposure` adds
diff --git a/packages/labs/src/__tests__/agent-tools-ai.test.ts b/packages/labs/src/__tests__/agent-tools-ai.test.ts
new file mode 100644
index 000000000..4e94012ca
--- /dev/null
+++ b/packages/labs/src/__tests__/agent-tools-ai.test.ts
@@ -0,0 +1,59 @@
+/**
+ * Tests for adapting Lab agent tools to AI tools (0194 Phase 2).
+ */
+
+import type { LabAgentTool } from '../agent-tools'
+import { describe, it, expect, vi } from 'vitest'
+import { labAgentToolsToAiTools } from '../agent-tools-ai'
+
+function labTool(name: string, invoke = vi.fn().mockResolvedValue('ok')): LabAgentTool {
+  return {
+    name,
+    description: `The ${name} tool`,
+    inputSchema: { type: 'object', properties: { id: { type: 'string' } } },
+    invoke
+  }
+}
+
+describe('labAgentToolsToAiTools', () => {
+  it('adapts name/title/description and passes the input schema through', () => {
+    const [tool] = labAgentToolsToAiTools([labTool('lab_run')])
+    expect(tool.name).toBe('lab_run')
+    expect(tool.title).toBe('Lab run')
+    expect(tool.description).toBe('The lab_run tool')
+    expect(tool.inputSchema.properties.id).toEqual({ type: 'string' })
+    expect(tool.requiredScopes).toEqual(['workspace.read'])
+  })
+
+  it('marks execution tools high risk and read tools low risk', () => {
+    const tools = labAgentToolsToAiTools([
+      labTool('lab_run'),
+      labTool('lab_create'),
+      labTool('lab_run_saved'),
+      labTool('lab_get'),
+      labTool('lab_list')
+    ])
+    const risk = Object.fromEntries(tools.map((t) => [t.name, t.risk]))
+    expect(risk).toEqual({
+      lab_run: 'high',
+      lab_create: 'high',
+      lab_run_saved: 'high',
+      lab_get: 'low',
+      lab_list: 'low'
+    })
+  })
+
+  it('invoke calls the underlying tool and wraps the result as text content', async () => {
+    const invoke = vi.fn().mockResolvedValue({ rows: 3 })
+    const [tool] = labAgentToolsToAiTools([labTool('lab_run', invoke)])
+    const result = await tool.invoke({ code: 'x' })
+    expect(invoke).toHaveBeenCalledWith({ code: 'x' })
+    expect(result.content).toEqual([{ type: 'text', text: '{"rows":3}' }])
+  })
+
+  it('passes a string result through unchanged', async () => {
+    const [tool] = labAgentToolsToAiTools([labTool('lab_get', vi.fn().mockResolvedValue('hello'))])
+    const result = await tool.invoke({ id: '1' })
+    expect(result.content[0].text).toBe('hello')
+  })
+})
diff --git a/packages/labs/src/agent-tools-ai.ts b/packages/labs/src/agent-tools-ai.ts
new file mode 100644
index 000000000..d2077a4a2
--- /dev/null
+++ b/packages/labs/src/agent-tools-ai.ts
@@ -0,0 +1,59 @@
+/**
+ * @xnetjs/labs — Lab agent tools as AI tools (exploration 0194 Phase 2).
+ *
+ * `createLabAgentTools` already produces MCP-shaped tools (`lab_run`/`lab_list`/
+ * …) but they aren't in the workspace AI's tool surface. This adapts them to the
+ * `AiCallableTool` shape `@xnetjs/plugins` uses, so the agent can discover, run,
+ * and author Labs alongside the workspace tools — the AI→Lab→Plugin loop's first
+ * hop. It lives in labs because labs already depends on `@xnetjs/plugins` (the
+ * reverse would cycle).
+ *
+ * `LabToolPropertySchema` is structurally a subset of `AiJsonSchema`, so the
+ * input schema passes straight through. Execution tools (`lab_run`/`lab_create`/
+ * `lab_run_saved`) are marked `high` risk so the agent/consent layer can gate
+ * them; read tools (`lab_get`/`lab_list`) are `low`.
+ */
+
+import type { LabAgentTool } from './agent-tools'
+import type { AiCallableTool } from '@xnetjs/plugins'
+
+/** Lab tools that execute code (vs. read metadata) — surfaced as higher risk. */
+const EXECUTION_TOOLS = new Set(['lab_run', 'lab_create', 'lab_run_saved'])
+
+/** `lab_run` → `Lab run`. */
+function titleize(name: string): string {
+  return name.replace(/_/g, ' ').replace(/^\w/, (c) => c.toUpperCase())
+}
+
+/** Stringify a tool result for the text content block. */
+function resultText(value: unknown): string {
+  if (typeof value === 'string') return value
+  try {
+    return JSON.stringify(value)
+  } catch {
+    return String(value)
+  }
+}
+
+function toAiTool(tool: LabAgentTool): AiCallableTool {
+  return {
+    name: tool.name,
+    title: titleize(tool.name),
+    description: tool.description,
+    risk: EXECUTION_TOOLS.has(tool.name) ? 'high' : 'low',
+    requiredScopes: ['workspace.read'],
+    inputSchema: tool.inputSchema,
+    invoke: async (args) => ({
+      content: [{ type: 'text', text: resultText(await tool.invoke(args)) }]
+    })
+  }
+}
+
+/**
+ * Adapt Lab agent tools to the `AiCallableTool` shape so the workspace AI can
+ * call them. Pair with `createLabAgentTools(...)` and register the result with
+ * the MCP server / in-app agent runtime.
+ */
+export function labAgentToolsToAiTools(tools: readonly LabAgentTool[]): AiCallableTool[] {
+  return tools.map(toAiTool)
+}
diff --git a/packages/labs/src/index.ts b/packages/labs/src/index.ts
index c3f312003..56aafe2a4 100644
--- a/packages/labs/src/index.ts
+++ b/packages/labs/src/index.ts
@@ -82,6 +82,9 @@ export type {
   LabToolPropertySchema
 } from './agent-tools'
 
+// Lab agent tools as AI tools (0194 Phase 2) — for the MCP server / agent runtime.
+export { labAgentToolsToAiTools } from './agent-tools-ai'
+
 // Extension publishing
 export { buildLabExtensionManifest, publishLabAsExtension, slugifyForId } from './extension'
 export type {