Comment Monitoring & Response
This example demonstrates a simple workflow to monitor and respond to comments on social media platforms using the MCP server.Use Case 1: Get Comments on Content
This use case focuses on retrieving all comments for a specific piece of content.Implementation Steps
- Get Users: Use
get-users-by-tenant-app
to retrieve all users - Get User Accounts: Use
get-user-accounts
to find the user’s social accounts - Get Content: Use
get-contents-by-user-account-id
to retrieve recent posts - Get Comments: Use
get-comments
with the content ID to retrieve all comments
Example Workflow
- Identify the specific content you want to check comments for
- Retrieve all comments for that content using its content ID
- Display comments chronologically with relevant metadata (author, date, likes)
- Show reply counts to identify comment threads
Use Case 2: Get Comments Based on Nature
This use case focuses on categorizing and filtering comments based on their content or intent.Implementation Steps
- Get Comments: Use
get-comments
orget-recent-comments
to retrieve comments - Analyze Comment Text: Process the comment text to determine its nature:
- Questions (contains ? or asking words like “how”, “what”, “when”)
- Complaints (contains negative sentiment or problem descriptions)
- Praise (contains positive sentiment or complimentary language)
- Suggestions (contains words like “should”, “could”, “maybe”)
Example Workflow
- Retrieve comments for the content
- Categorize each comment based on text analysis
- Group comments by category
- Prioritize urgent categories (e.g., complaints or questions)
Use Case 3: Reply to Comments with Particular Emotions
This use case focuses on responding appropriately to comments based on their emotional tone.Implementation Steps
- Get Comments: Use
get-comments
to retrieve comments for specific content - Analyze Emotion: Determine the emotional tone of each comment
- Draft Responses: Create appropriate responses based on the emotional context
- Post Replies: Use
publish-comment
with the parent comment ID to respond
Example Response Strategies
- Positive Comments: Thank the user and reinforce their positive experience
- Negative Comments: Acknowledge concerns, apologize if appropriate, offer solutions
- Neutral Questions: Provide clear, informative answers
- Excited Comments: Match their enthusiasm and build on their excitement
Use Case 4: Analyze Comment Sentiment Distribution
This use case focuses on understanding the overall sentiment distribution in comments.Implementation Steps
- Get All Comments: Use
get-recent-comments
or get comments for multiple content items - Analyze Sentiment: Categorize each comment as positive, negative, or neutral
- Generate Statistics: Calculate the distribution of sentiments
- Identify Trends: Compare current sentiment distribution with historical data
Example Analysis
- Calculate the percentage of positive, negative, and neutral comments
- Identify content with unusually high negative or positive sentiment
- Track sentiment changes over time
- Correlate sentiment with content types or topics
Required MCP Tools
This implementation uses these tools:get-users-by-tenant-app
- Lists all usersget-user-accounts
- Lists user’s social media accountsget-contents-by-user-account-id
- Gets recent content posted by a userget-comments
- Gets comments for specific content itemsget-recent-comments
- Gets recent comments across all contentpublish-comment
- Posts replies to comments
Advanced Features
To enhance comment management capabilities, consider implementing:- Automated sentiment analysis - Automatically detect the emotional tone of comments
- Comment prioritization - Flag urgent or important comments for immediate attention
- Response templates - Develop standardized responses for common comment types
- Engagement metrics - Track response rates and times across platforms
- Keyword alerting - Alert for comments containing specific words or phrases