A
licenseNot graded
qualityD
maintenanceMCP server for document ingestion and semantic search on Qdrant. Enables ingesting local documents, generating embeddings with OpenAI, and performing vector search with metadata filters.
Apache 2.0
mcp-qdrant-embedding-search
by plixplox
Related Servers
Alternatives to mcp-qdrant-embedding-search
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceMCP server for Qdrant vector database with local BERT embeddings. Enables semantic search and vector storage operations through natural language.MIT
- FlicenseNot gradedqualityBmaintenanceMCP server that enables semantic search over PDF documents using RAG with ChromaDB and OpenAI embeddings.-
- AlicenseNot gradedqualityBmaintenanceEnables semantic search and knowledge management for local LLM clients through MCP, using locally embedded vectors stored in Qdrant.MIT
- AlicenseNot gradedqualityBmaintenanceMCP server for persistent memory using Qdrant vector store. Stores text memories with LLM-generated embeddings and retrieves them via semantic search.33 npm1MIT
- AlicenseNot gradedqualityFmaintenanceA Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.33 npm136Apache 2.0