diff --git a/README.md b/README.md
index 3f3a82e..91bec41 100644
--- a/README.md
+++ b/README.md
@@ -36,24 +36,71 @@ OCR process PDF file(s) using the OCR API. Supports both single file and directo
 
 **Returns:** JSON with processing results (success/fail counts per file)
 
-## Setup
+---
+
+## Deployment (For Other Hermes Agents)
+
+This MCP server can be deployed on any machine running Hermes. Follow the steps below.
+
+### Prerequisites
+
+- Python 3.10+
+- `uv` installed (`curl -LsSf https://astral.sh/uv/install.sh | sh`)
+- Access to Gitea (or download the source code)
+- OCR API Key
+
+### Step 1: Clone & Install
 
 ```bash
+git clone https://gitea.imqimacau.com/tony-claw/procleaning-mcp.git
 cd procleaning-mcp
 uv sync
-uv run python -m procleaning_mcp.server
 ```
 
-## Usage in Hermes
+### Step 2: Configure API Key
 
-Add to `~/.hermes/config.yaml`:
+Set your OCR API key as an environment variable:
+
+```bash
+# Add to shell profile
+echo 'export OCR_API_KEY="your-api-key-here"' >> ~/.bashrc
+source ~/.bashrc
+```
+
+Or set it in `~/.hermes/config.yaml` directly.
+
+### Step 3: Add to Hermes Config
+
+Edit `~/.hermes/config.yaml` and add the `mcp_servers` section:
 
 ```yaml
 mcp_servers:
   procleaning:
     command: "uv"
-    args: ["run", "--project", "/home/tony/procleaning-mcp", "python", "-m", "procleaning_mcp.server"]
+    args: ["run", "--project", "/home/USER/procleaning-mcp", "python", "-m", "procleaning_mcp.server"]
     timeout: 300
 ```
 
-Then use `mcp_procleaning_batch_ocr_pdf` in any Hermes conversation.
+> **Important:** Replace `/home/USER/procleaning-mcp` with the actual path on your machine.
+
+### Step 4: Restart Hermes
+
+Restart your Hermes agent to load the new MCP server. The tool `mcp_procleaning_batch_ocr_pdf` will be available in conversations.
+
+### Step 5: Test
+
+Run a test in Hermes:
+
+```
+input_file: /path/to/test.pdf
+output_dir: /path/to/output
+```
+
+---
+
+## Local Testing
+
+```bash
+cd procleaning-mcp
+uv run python -m procleaning_mcp.server
+```