diff --git a/CLAUDE.md b/CLAUDE.md
index 0a76752..d9d929a 100644
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -18,7 +18,7 @@ RewindMCP is a Python library that interfaces with the Rewind.ai SQLite database
 pip install -e .
 
 # Install dependencies
-pip install pysqlcipher3 pydantic requests python-dotenv "mcp>=0.1.0"
+pip install sqlcipher3 pydantic requests python-dotenv "mcp>=0.1.0" tabulate
 ```
 
 ### Testing
diff --git a/README-MCP-STDIO.md b/README-MCP-STDIO.md
index 6782a90..74e7780 100644
--- a/README-MCP-STDIO.md
+++ b/README-MCP-STDIO.md
@@ -28,7 +28,7 @@ The server implements the MCP specification with proper JSON-RPC 2.0 protocol ov
 
 1. Install the required dependencies:
 ```bash
-pip install "mcp>=0.1.0" pysqlcipher3 python-dotenv
+pip install "mcp>=0.1.0" sqlcipher3 python-dotenv tabulate
 ```
 
 2. Set up your RewindDB configuration in a `.env` file:
diff --git a/README.md b/README.md
index 386eb66..3826663 100644
--- a/README.md
+++ b/README.md
@@ -40,7 +40,7 @@ The main purpose of this project, for me, was to connect Rewind to my Raycast:
 
 ```bash
 # clone the repository
-git clone https://github.com/yourusername/RewindMCP.git
+git clone https://github.com/pedramamini/RewindMCP.git
 cd RewindMCP
 
 # install the package and dependencies
@@ -149,7 +149,8 @@ python transcript_cli.py --export-own-voice "2025-01-01 to 2025-07-04" --export-
 # export actual audio files organized by day
 python transcript_cli.py --export-own-voice "2025-01-01 to 2025-07-04" --export-format audio --audio-export-dir ./my_voice_audio
 
-# generate word cloud from your voice data (requires wordcloud command)
+# generate word cloud from your voice data (requires wordcloud library)
+pip install wordcloud matplotlib  # install dependencies
 ./my-words.sh  # automatically uses last 6 months of your voice data
 ```
 
@@ -530,7 +531,7 @@ Key relationships:
 
 ```bash
 # clone the repository
-git clone https://github.com/yourusername/RewindMCP.git
+git clone https://github.com/pedramamini/RewindMCP.git
 cd RewindMCP
 
 # install in development mode
diff --git a/my-words.sh b/my-words.sh
new file mode 100644
index 0000000..30c7415
--- /dev/null
+++ b/my-words.sh
@@ -0,0 +1,86 @@
+#!/bin/bash
+#
+# my-words.sh - Generate word cloud from your voice data
+#
+# This script uses the transcript_cli.py to export your voice transcripts
+# from the last 6 months and generates a word cloud visualization.
+#
+# Requirements:
+# - wordcloud Python library: pip install wordcloud
+# - transcript_cli.py in the same directory
+#
+# Usage:
+#   ./my-words.sh
+#
+
+set -e
+
+# Configuration
+MONTHS_BACK=6
+OUTPUT_FILE="my_words.png"
+TEMP_FILE="/tmp/my_voice_data.txt"
+
+# Calculate date range (6 months ago to today)
+if [[ "$OSTYPE" == "darwin"* ]]; then
+    # macOS
+    START_DATE=$(date -v-${MONTHS_BACK}m +"%Y-%m-%d")
+else
+    # Linux
+    START_DATE=$(date -d "${MONTHS_BACK} months ago" +"%Y-%m-%d")
+fi
+END_DATE=$(date +"%Y-%m-%d")
+
+echo "Generating word cloud from your voice data..."
+echo "Date range: $START_DATE to $END_DATE"
+
+# Export voice data using transcript_cli.py
+echo "Exporting your voice transcripts..."
+python transcript_cli.py --export-own-voice "$START_DATE to $END_DATE" --export-format text > "$TEMP_FILE"
+
+# Check if we got any data
+if [ ! -s "$TEMP_FILE" ]; then
+    echo "No voice data found for the specified time period."
+    echo "Make sure Rewind.ai has been recording audio and you have spoken during this time."
+    rm -f "$TEMP_FILE"
+    exit 1
+fi
+
+# Generate word cloud
+echo "Generating word cloud..."
+python3 -c "
+import sys
+from wordcloud import WordCloud
+import matplotlib.pyplot as plt
+
+# Read the text data
+with open('$TEMP_FILE', 'r') as f:
+    text = f.read()
+
+if not text.strip():
+    print('No text data found.')
+    sys.exit(1)
+
+# Generate word cloud
+wordcloud = WordCloud(
+    width=800, 
+    height=400, 
+    background_color='white',
+    max_words=100,
+    colormap='viridis'
+).generate(text)
+
+# Save as image
+plt.figure(figsize=(10, 5))
+plt.imshow(wordcloud, interpolation='bilinear')
+plt.axis('off')
+plt.title('My Words - Last $MONTHS_BACK Months of Voice Data')
+plt.tight_layout()
+plt.savefig('$OUTPUT_FILE', dpi=300, bbox_inches='tight')
+print(f'Word cloud saved as $OUTPUT_FILE')
+"
+
+# Clean up
+rm -f "$TEMP_FILE"
+
+echo "Done! Word cloud saved as $OUTPUT_FILE"
+echo "To view: open $OUTPUT_FILE (macOS) or xdg-open $OUTPUT_FILE (Linux)"
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
index 1bb6e90..d042039 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,6 +1,6 @@
 # Core dependencies for RewindMCP
 # Database and encryption
-pysqlcipher3
+sqlcipher3
 
 # Data validation and serialization
 pydantic
diff --git a/setup.py b/setup.py
index db4cf2a..7e41c46 100644
--- a/setup.py
+++ b/setup.py
@@ -15,7 +15,7 @@
     description="a python library for interfacing with the rewind.ai sqlite database",
     long_description=long_description,
     long_description_content_type="text/markdown",
-    url="https://github.com/pedram/rewinddb",
+    url="https://github.com/pedramamini/RewindMCP",
     packages=setuptools.find_packages(),
     classifiers=[
         "programming language :: python :: 3",
@@ -29,6 +29,6 @@
         "requests",
         "python-dotenv",
         "mcp>=0.1.0",
-	"tabulate",
+        "tabulate",
     ],
 )