We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Ethan2298/personal-semantic-search-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server
# Step 7 - Question Answering Mode
**Status:** Idea
---
## Goal
Instead of just returning search results, synthesize an answer from multiple notes - like a personal RAG system.
---
## Ideas
- New tool: `ask_vault(question)`
- Searches for relevant chunks
- Passes them to Claude with the question
- Returns a synthesized answer with citations
---
## Potential Features
- "According to your notes, here's what you know about X..."
- Citation links back to source notes
- Confidence scoring based on how much relevant content exists
- "You haven't written much about this" detection
---
## Implementation Thoughts
- Could use Claude as the synthesis layer
- Or a smaller local model for privacy
- Need to handle "I don't have notes on this" gracefully
---
## Example Usage
```
User: "What's my philosophy on productivity?"
Claude: Based on your notes, you believe in [X] (from [[Note1]]),
combined with [Y] (from [[Note2]])...
```