← Back to leaderboard
58
/100
C ◉ Complete 55

lsfusion-mcp

Enables RAG-powered documentation search using OpenAI embeddings and Pinecone vector database. Provides an extensible framework for adding additional tools with support for both local STDIO and production HTTP transports.

AI & Machine Learning by lsfusion Last commit: 2 months, 3 weeks ago
OpenAI Pinecone
Complete visibility — 5/5 applicable dimensions scored
✓ Schema Quality ✓ Protocol — Reliability ✓ Docs & Maintenance ✓ Security Hygiene ✓ Schema Interpretability
Schema Quality
54
25% weight
Protocol Compliance
30
20% weight
Reliability
20% weight
Docs & Maintenance
28
15% weight
Security Hygiene
81
20% weight
Schema Interpretability
96
15% weight
30-Day Trend

Score History

Category Trends

30-Day Uptime

30 days ago Today

Static Analysis

Metric Score Rating
Schema Completeness 60 Fair
Description Quality 45 Fair
Documentation Coverage 25 Poor
Maintenance Pulse 45 Fair
Dependency Health 50 Fair
License Clarity Poor
Version Hygiene Poor
Analyzed 1 month ago
Embed Badge

Add this to your README to display your MCP Scoreboard grade:

MCP Score Badge
[![MCP Score](https://mcpscoreboard.com/badge/e797f787-8015-4126-82b7-22c001aad03c.svg)](https://mcpscoreboard.com/server/e797f787-8015-4126-82b7-22c001aad03c/)