devrag
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A lightweight RAG (Retrieval-Augmented Generation) system for Claude Code that enables semantic search over local markdown documents via MCP tools, saving tokens and time.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/r5ffq562w6 for deploy options, or install from https://github.com/tomohiro-owada/devrag (see README for MCP config).
2
GitHub
Install from https://github.com/tomohiro-owada/devrag and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Connect it in your MCP client to see the live tool list.