Qdrant with MCP
Integrates Qdrant vector database with an MCP server to store and retrieve code snippets.
Acerca de
This project combines the Qdrant vector database with a Model Control Protocol (MCP) server, providing a system for storing, managing, and searching code snippets. It enables natural language-based code retrieval and semantic searching for related code. The system supports Server-Sent Events (SSE) for efficient data streaming.
Características Principales
- Supports semantic search for related code.
- Uses the sentence-transformers/all-MiniLM-L6-v2 embedding model.
- Supports SSE (Server-Sent Events) transmission.
- Stores and manages code snippets.
- 1 GitHub stars
- Enables natural language-based code search.
Casos de Uso
- Store and retrieve code snippets using natural language queries.
- Find related code based on semantic similarity.
- Integrate code search functionality into AI IDEs.