lessons-mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@lessons-mcpsearch for lessons about deployment errors"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
lessons-mcp
An MCP server for Claude Code that stores and searches lessons learned, so Claude doesn't repeat past mistakes. Think of it as a persistent experience log with full-text search and tag-based navigation.
Quick Start
git clone https://github.com/<your>/lessons-mcp
cd lessons-mcp
pip install mcpAdd to ~/.claude/mcp.json:
{
"mcpServers": {
"lessons": {
"command": "python3",
"args": ["/path/to/lessons-mcp/server/server.py"]
}
}
}Related MCP server: Support Engineer MCP Server
Tools
suggest_metadata
Preview available categories/tags before writing. Returns existing landscape + suggestion.
record_lesson
Record a new lesson. Returns feedback on tag reuse consistency.
search_lessons
Search past lessons. FTS5 (tags/category/title) + LIKE fallback (Chinese body).
list_categories
Browse categories with recent tag activity.
list_tags
Browse tags within a category with usage count.
Storage
SQLite at ~/.claude/lessons.db (or $LESSONS_DB_PATH).
One table + FTS5 index, created automatically on first run.
Integration with Claude Code
1. Add to MCP config
Add to ~/.claude/mcp.json:
{
"mcpServers": {
"lessons": {
"command": "/Users/karsa/proj/lessons-mcp/.venv/bin/python3",
"args": ["/Users/karsa/proj/lessons-mcp/server/server.py"]
}
}
}2. Add pointer to MEMORY.md
Add to ~/.claude/memory/MEMORY.md:
## Lessons System
Lessons MCP available. Tools: search_lessons, suggest_metadata, record_lesson,
list_categories, list_tags3. Restart Claude Code
The server starts automatically when Claude Code launches.
You should see in logs: lessons-mcp v1.0.0 | ~/.claude/lessons.db | 1 lessons
This server cannot be deployed
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