54
/100
D
◎ Verified 5⁄5
MemoryMesh
The SQLite of AI Memory — persistent, zero-dependency memory for any LLM application. Dual-store architecture (project + global), pluggable embeddings (local/Ollama/OpenAI), semantic search with time decay, auto-categorization, and contradiction detection. 10 MCP tools. Works with Claude Code, Cursor, Gemini CLI, and any MCP client.
Anthropic
Google Gemini
Ollama
OpenAI
SQLite
Smithery
Verified visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
✓ Reliability
✓ Docs & Maintenance
✓ Security Hygiene
— Schema Interpretability
Schema Quality
96
25% weight
Protocol Compliance
10
20% weight
Reliability
—
20% weight
Docs & Maintenance
79
15% weight
Security Hygiene
80
20% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Latest Health Check
Checked 1 week, 3 days ago
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 100 | Good |
| Description Quality | 90 | Good |
| Documentation Coverage | 78 | Good |
| Maintenance Pulse | 70 | Good |
| Dependency Health | 75 | Good |
| License Clarity | 100 | Good |
| Version Hygiene | 90 | Good |
Analyzed 1 month ago
Protocol Compliance
Probed 1 month ago
Add this to your README to display your MCP Scoreboard grade:
