tomohiro-owada/devrag
Markdown vector search MCP server for Claude Code. Natural language search for markdown files using multilingual-e5-small embeddings.
📊 Score Breakdown
Overall = Security (30%) + Utility (30%) + Maintenance (25%) + Uniqueness (15%). Full methodology →
ℹ️ Details
Category
🧠 Memory & Knowledge
Ecosystem
MCP Server
Language
Go
Pricing
Free
License
-
Status
Maintained
Platforms
claude
📈 GitHub Signals
30
Stars
10
Forks
0
Commits (30d)
1
Open Issues
Last commit: 5 months ago
Similar Tools
View all Memory & Knowledge →topoteretes/cognee
by topoteretes
📇 🏠 - Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
vectorize-io/hindsight
by vectorize-io
🐍 ☁️ 🏠 - Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory
doobidoo/mcp-memory-service
by doobidoo
📇 🏠 - Universal memory service providing semantic search, persistent storage, and autonomous memory consolidation
apecloud/ApeRAG
by apecloud
🐍 ☁️ 🏠 - Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering
Know before you install 📬
We score every tool 0-100 for security, maintenance and utility. Get the weekly shortlist of the highest-scored, vetted tools, plus an alert when a package you rely on goes stale. Free.
Data last verified: 4 months ago. See something wrong? Report it →