Ensure you have a development environment with Python (or another programming language of your choice like PHP or Java) and MySQL installed. This guide will use Python for its simplicity and wide support for both RSS parsing and MySQL operations.

Use Python's built-in `xml.etree.ElementTree` module or the `feedparser` library to fetch and parse the RSS feed. This involves sending a request to the RSS feed URL and processing the XML data to extract the relevant information like titles, links, publication dates, etc.

```python
import feedparser

rss_url = 'http://example.com/rss'
feed = feedparser.parse(rss_url)

for entry in feed.entries:
title = entry.title
link = entry.link
published = entry.published
# Add other fields as needed
```

Plan and create a MySQL table schema that matches the data structure of your RSS feed. Use `VARCHAR` for text fields, `DATETIME` for date and time fields, and other appropriate data types for different pieces of information.

```sql
CREATE TABLE rss_feed_data (
id INT AUTO_INCREMENT PRIMARY KEY,
title VARCHAR(255),
link VARCHAR(255),
published DATETIME
-- Add other fields as needed
);
```

Use a MySQL connector library compatible with your chosen programming language to establish a connection to your MySQL database. In Python, you can use `mysql-connector-python`.

```python
import mysql.connector

conn = mysql.connector.connect(
host='localhost',
user='yourusername',
password='yourpassword',
database='yourdatabase'
)
cursor = conn.cursor()
```

Prepare the data extracted from the RSS feed for insertion into your MySQL table. This may involve converting date formats or cleaning text fields to ensure they comply with the MySQL table schema.

```python
from datetime import datetime

for entry in feed.entries:
title = entry.title
link = entry.link
published = datetime.strptime(entry.published, '%a, %d %b %Y %H:%M:%S %Z')
# Transform other fields as needed
```

Use SQL `INSERT` statements to add the parsed and transformed data into your MySQL table. Ensure you handle exceptions and duplicates appropriately, possibly using `INSERT IGNORE` or `ON DUPLICATE KEY UPDATE` clauses.

```python
sql = "INSERT INTO rss_feed_data (title, link, published) VALUES (%s, %s, %s)"
val = (title, link, published)

try:
cursor.execute(sql, val)
conn.commit()
except mysql.connector.Error as err:
print(f"Error: {err}")
```

Once all data has been inserted, close the cursor and database connection to free up resources.

```python
cursor.close()
conn.close()
```

By following these steps, you can manually move data from an RSS feed into a MySQL database without relying on any third-party connectors or integrations.