Merge pull request #183 from Lingyun-Huang/patch-2

Fix the out-dated tiny-agents config file

Author: Vaibhavs10

units/en/unit2/tiny-agents.mdx

@@ -76,13 +76,11 @@ The JSON file will look like this:
 	"servers": [
 		{
 			"type": "stdio",
-			"config": {
-				"command": "npx",
-				"args": [
-					"mcp-remote",
-					"http://localhost:7860/gradio_api/mcp/sse" // This is the MCP Server we created in the previous section
-				]
-			}
+			"command": "npx",
+			"args": [
+				"mcp-remote",
+				"http://localhost:7860/gradio_api/mcp/sse" // This is the MCP Server we created in the previous section
+			]
 		}
 	]
 }
@@ -114,13 +112,11 @@ The JSON file will look like this:
 	"servers": [
 		{
 			"type": "stdio",
-			"config": {
-				"command": "npx",
-				"args": [
-					"mcp-remote", 
-					"http://localhost:7860/gradio_api/mcp/sse"
-				]
-			}
+			"command": "npx",
+			"args": [
+				"mcp-remote", 
+				"http://localhost:7860/gradio_api/mcp/sse"
+			]
 		}
 	]
 }
@@ -154,13 +150,11 @@ We could also use an open source model running locally with Tiny Agents. If we s
 	"servers": [
 		{
 			"type": "stdio",
-			"config": {
-				"command": "npx",
-				"args": [
-					"mcp-remote",
-					"http://localhost:1234/v1/mcp/sse"
-				]
-			}
+			"command": "npx",
+			"args": [
+				"mcp-remote",
+				"http://localhost:1234/v1/mcp/sse"
+			]
 		}
 	]
 }
@@ -271,4 +265,4 @@ This modular approach is what makes MCP so powerful for building flexible AI app
 
 - Check out the Tiny Agents blog posts in [Python](https://huggingface.co/blog/python-tiny-agents) and [TypeScript](https://huggingface.co/blog/tiny-agents)
 - Review the [Tiny Agents documentation](https://huggingface.co/docs/huggingface.js/main/en/tiny-agents/README)
-- Build something with Tiny Agents!
+- Build something with Tiny Agents!