Back to search
30
MCP

Qdrant with OpenAI Embeddings

pulsemcp/qdrant with openai embeddings

Connects AI systems to Qdrant vector databases for semantic search using OpenAI embeddings, enabling contextual document retrieval and knowledge base querying.

Uptime
0.0%
6 probes
Response
0ms
last probe
Tools
0
callable
Primary URL
—

Similar MCP servers embedding-nearest

Qdrant Vector Database
Provides a vector database for storing and retrieving code snippets through semantic search using Docker containers and sentence-transformer
0 tools
Qdrant Knowledge Graph
Integrates a knowledge graph with semantic search capabilities, enabling efficient storage, retrieval, and querying of structured informatio
0 tools
io.github.infoinlet-marketplace/mcp-qdrant
Read-only Qdrant vector DB for AI agents — collections, info, browse points, count, search.
0 tools
iflow-mcp_amansingh0311-mcp-qdrant-openai
MCP Qdrant Server with OpenAI Embeddings
0 tools
OpenCrane
Extensible RAG library for building AI-powered documentation search with semantic search, keyword matching, and hybrid retrieval.
0 tools
CodeIntel
AI-powered semantic code search using vector embeddings for contextual code loading.
0 tools

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "qdrant_with_openai_embeddings": {
      "url": "None",
      "transport": "http"
    }
  }
}