how to use with mcp client

README.md

@@ -12,7 +12,6 @@ short_description: 'This space defines a RAG MCP server '
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
-
 # Rag MCP server
 
 This is a simple gradio server that allows you to run a RAG (Retrieval-Augmented Generation) model using the
@@ -29,22 +28,59 @@ enable the search functionality. You can export it in your shell:
 export SERPER_API_KEY=your_serper_api_key
 ```
 
-
 # Installation
+
 ```bash
 uv sync
 ```
 
 # Usage
 
-Just run the gradio application: 
+Just run the gradio application:
 
 ```bash
 uv run gradio app.py
 ```
 
-
 # Access the server
+
 Open your browser and go to `http://localhost:7860` to access the RAG MCP server.
 
-You can see the [gradio docs](https://www.gradio.app/guides/building-mcp-server-with-gradio) for more information on how to use the interface.
+You can see the [gradio docs](https://www.gradio.app/guides/building-mcp-server-with-gradio) for more information on how
+to use the interface.
+
+# Using the MCP server with a mpc client
+
+You can use the tiny-agents client to interact with the MCP server. To do this, you need to install the huggingface_hub
+package:
+
+```bash
+pip install huggingface_hub
+```
+
+Then, you can use the following code to interact with the MCP server:
+
+```bash
+export HF_TOKEN=your_huggingface_token
+
+tiny_agents run agent.json
+```
+
+The `agent.json` file contains the configuration for the MCP client. Here is an example of how to create this file:
+
+```json
+{
+  "model": "meta-llama/Llama-3.3-70B-Instruct",
+  "provider": "cerebras",
+  "servers": [
+    {
+      "type": "sse",
+      "config": {
+        "url": "https://frascuchon-rag-mcp-server.hf.space/gradio_api/mcp/sse"
+      }
+    }
+  ]
+}
+```
+
+You can change the server URL to point to your own MCP server if you are running it locally or on a different host.