Give your AI coding assistant access to 287 indexed failure-recovery lessons from real debugging sessions.
When your agent encounters an error, it can search MisakaNet for known fixes before wasting time re-debugging:
You: "My pip install keeps timing out on WSL"
Agent: *searches MisakaNet* → finds pip-install-timeout-ssl lesson → applies fix
Paste this into Cursor, Claude Code, or Claude Desktop to install and test MisakaNet in one shot:
Please install and test MisakaNet as an MCP failure-memory server.
1. Clone https://github.com/Ikalus1988/MisakaNet
2. Configure it as an MCP stdio server:
- Command: python3
- Args: /path/to/MisakaNet/scripts/mcp_server.py
3. Restart your MCP client (Cursor / Claude Code / Claude Desktop)
4. Run the first query: Search MisakaNet for "database locked"
5. Confirm that misakanet_search returns failure-recovery lessons with title, score, and path.
MisakaNet is a failure-memory and recovery layer for coding agents / MCP clients. Local stdio MCP calls work independently of Glama analytics.
Add to .claude/settings.json in your project:
{
"mcpServers": {
"misakanet": {
"command": "python3",
"args": ["/path/to/MisakaNet/scripts/mcp_server.py"]
}
}
}Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"misakanet": {
"command": "python3",
"args": ["/path/to/MisakaNet/scripts/mcp_server.py"]
}
}
}Add to .cursor/mcp.json in your project:
{
"mcpServers": {
"misakanet": {
"command": "python3",
"args": ["/path/to/MisakaNet/scripts/mcp_server.py"]
}
}
}No local Python setup needed — pull the container and run:
docker pull ghcr.io/ikalus1988/misakanet:2.15.0
docker run -i ghcr.io/ikalus1988/misakanet:2.15.0Or use in MCP config:
{
"mcpServers": {
"misakanet": {
"command": "docker",
"args": ["run", "-i", "ghcr.io/ikalus1988/misakanet:2.15.0"]
}
}
}cd /path/to/MisakaNet
pip install -r requirements.txt# Verify the server starts
python3 scripts/mcp_server.py --help
# Test search directly
python3 search_knowledge.py "DCO sign-off"Once connected, try these in your AI assistant:
| Query | What you'll find |
|---|---|
| "Search MisakaNet for DCO sign-off failure" | DCO quickfix workflow |
| "Find lessons about GitHub token issues" | PAT, credential helper, auth failures |
| "What does MisakaNet know about pip timeout?" | SSL/proxy timeout fixes |
| "Search for FANUC error codes" | Industrial robot debugging lessons |
| "Find feishu API integration issues" | Feishu/Lark API pitfalls |
| Issue | Fix |
|---|---|
| "No MCP server found" | Check path in config is absolute |
| "Import error" | Run pip install -r requirements.txt |
| "No results" | Verify data/lessons.json exists and is valid |
| Windows encoding error | Set PYTHONUTF8=1 or use python3 -X utf8 |