MCP Server with Qdrant
by ChangJunPark
This project integrates the Qdrant vector database with an MCP (Model Control Protocol) server to store and retrieve code snippets. It enables natural language-based code search and semantic retrieval of related code.
Last updated: N/A
What is MCP Server with Qdrant?
This is a system that combines a Qdrant vector database and an MCP server to manage and search code snippets. It allows users to store, manage, and retrieve code snippets using natural language queries and semantic search.
How to use MCP Server with Qdrant?
To use this server, you need to clone the repository, start the services using Docker Compose, and then access the Qdrant UI and MCP Server through their respective URLs. You can then use the provided tools (qdrant-store and qdrant-find) to store and retrieve code snippets.
Key features of MCP Server with Qdrant
Code snippet storage and management
Natural language-based code search
Semantic search for related code
SSE (Server-Sent Events) support
Use cases of MCP Server with Qdrant
AI IDE integration
Code documentation search
Knowledge base for code snippets
Code recommendation system
FAQ from MCP Server with Qdrant
What is Qdrant?
What is Qdrant?
Qdrant is a vector database used for storing and searching vector embeddings.
What is MCP?
What is MCP?
MCP stands for Model Control Protocol, used here for managing code snippets.
How do I access the Qdrant UI?
How do I access the Qdrant UI?
You can access the Qdrant UI at http://localhost:6333/dashboard.
How do I access the MCP Server?
How do I access the MCP Server?
You can access the MCP Server at http://localhost:8000.
Where is the data stored?
Where is the data stored?
The data is stored permanently in the ./qdrant_storage directory.