MCP server for semantic search using local Qdrant vector database and OpenAI embeddings. Exposes tools for vector similarity search, upsert, and delete operations. Connects to Qdrant's HTTP API and OpenAI's embedding models. Useful for developers building AI applications requiring semantic search capabilities.
MCP server for semantic search using local Qdrant vector database and OpenAI embeddings. Exposes tools for vector similarity search, upsert, and delete operations. Connects to Qdrant's HTTP API and OpenAI's embedding models. Useful for developers building AI applications requiring semantic search capabilities.
npx -y @mhalder/qdrant-mcp-serverAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"mhalder-qdrant-mcp-server-github": {
"command": "npx",
"args": [
"-y",
"npx -y @mhalder/qdrant-mcp-server"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from qdrant?"
API Key Required
This server requires an API key from qdrant. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| QDRANT_API_KEY | Yes | Your qdrant API key |
"What resources are available in qdrant?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in qdrant"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in qdrant with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.