# Limitless MCP Server - Usage Examples
These examples show how to use natural language with your AI assistant to interact with Limitless.
## Basic Memory Access
### Listing Memories
```
"Show me all my memories from today"
"List my lifelogs from the past week"
"What memories do I have from December 2023?"
"Show me my starred memories"
"List all my Pendant recordings"
```
### Getting Specific Memories
```
"Get the details of lifelog abc123"
"Show me the full content of my morning meeting"
"What's in the memory I starred yesterday?"
```
## Searching Your Memories
### Topic Search
```
"Find all conversations about the product roadmap"
"Search for memories mentioning AI or machine learning"
"Show me discussions about the budget"
"Find when I talked about vacation plans"
```
### Time-based Search
```
"What did I discuss last Monday?"
"Find memories from my meetings this week"
"Search for conversations between Jan 1 and Jan 15"
"Show me what I talked about yesterday afternoon"
```
## AI-Powered Features
### Daily Summaries
```
"Give me a summary of yesterday"
"What were the key points from Monday's activities?"
"Summarize my day including action items"
"Show me highlights from last week"
```
### Asking Questions
```
"What did Sarah say about the new feature?"
"When did I last mention the quarterly goals?"
"What decisions were made in the product meeting?"
"Did anyone mention deadlines in today's calls?"
```
### Context-Aware Queries
```
"Based on this week's meetings, what are my priorities?"
"What follow-ups do I have from yesterday's discussions?"
"Summarize all feedback about the prototype"
"What commitments did I make this week?"
```
## Organization & Export
### Starring Memories
```
"Star the memory about the strategic plan"
"Mark my conversation with the CEO as important"
"Unstar lifelog xyz789"
```
### Exporting Content
```
"Export today's meetings as markdown"
"Create a markdown file of this week's notes"
"Export all January memories with timestamps"
"Generate a markdown summary of starred items"
```
## Advanced Queries
### Filtering by Source
```
"Show me all desktop recordings from this week"
"List only Pendant memories from home"
"Find web app recordings about the project"
```
### Complex Searches
```
"Find all meetings where we discussed timelines, from the past month"
"Show me memories tagged with 'important' that mention budgets"
"List conversations with action items from this week's team meetings"
```
### Time-specific Queries
```
"What did I discuss between 2pm and 4pm yesterday?"
"Show me morning memories from the past week"
"Find evening conversations about personal goals"
```
## Workflow Examples
### Meeting Follow-up
```
1. "Show me today's meeting memories"
2. "What action items came from the product sync?"
3. "Export the meeting notes as markdown"
4. "Star the memory with important decisions"
```
### Weekly Review
```
1. "Get a summary of this week"
2. "What were the main topics discussed?"
3. "List all action items from the week"
4. "Export the week's highlights"
```
### Research & Reference
```
1. "When did we last discuss the API changes?"
2. "Find all conversations about performance issues"
3. "What solutions were proposed?"
4. "Create a summary of the findings"
```
## Tips for Best Results
1. **Be Specific with Dates**: Use YYYY-MM-DD format or relative terms like "yesterday", "last week"
2. **Use Natural Language**: The AI understands context, so speak naturally
3. **Combine Filters**: Mix date ranges, topics, and sources for precise results
4. **Star Important Items**: Build a collection of key memories for quick access
5. **Export Regularly**: Create markdown backups of important conversations
## Troubleshooting Queries
If you're not getting expected results:
```
"List all available memories" (check what's in your account)
"Show me memories from [specific date]" (verify data exists)
"Search for [very specific term]" (test search is working)
"Get lifelog [specific ID]" (test direct access)
```
