Lightweight local RAG MCP server for semantic vector
search over markdown documents. Reduces token consumption by 40x.
Supports Japanese and English.
Overview
what is DevRag?
DevRag is a lightweight local RAG MCP server designed for semantic vector search over markdown documents, significantly reducing token consumption and improving search efficiency.
how to use DevRag?
To use DevRag, run the server locally and utilize its tools to index markdown files, perform semantic searches, and manage indexed documents without incurring API costs.
key features of DevRag?
- 40x token reduction via semantic vector search
- 15x faster responses with ~95ms search latency
- Fully local operation with no API costs
- Multi-language support for Japanese and English
- Filtered search capabilities by directory and filename patterns
- Single binary with no dependencies
use cases of DevRag?
- Efficiently searching through large collections of markdown documents.
- Reducing operational costs for applications requiring semantic search.
- Supporting multi-language documentation management.
FAQ from DevRag?
- Can DevRag handle multiple languages?
Yes! DevRag supports both Japanese and English.
- Is there any cost associated with using DevRag?
No, DevRag runs entirely locally, eliminating API costs.
- How fast are the search responses?
DevRag provides responses in approximately 95ms, making it very efficient.
Server Config
{
"mcpServers": {
"devrag": {
"type": "stdio",
"command": "/usr/local/bin/devrag"
}
}
}