Skip to main content
Glama

Qdrant Retrieve MCP Server

parseCliArgs.ts1.99 kB
import meow from "meow"; import type { ServerCliArgs } from "./ServerCliArgs"; /** * Parses command line arguments and returns the parsed CLI options * * @returns Parsed command line arguments */ export function parseCliArgs(): ServerCliArgs { const usage = ` MCP server for semantic search with Qdrant vector database. Options --enableHttpTransport Enable HTTP transport [default: false] --enableStdioTransport Enable stdio transport [default: true] --enableRestServer Enable REST API server [default: false] --mcpHttpPort=<port> Port for MCP HTTP server [default: 3001] --restHttpPort=<port> Port for REST HTTP server [default: 3002] --qdrantUrl=<url> URL for Qdrant vector database [default: http://localhost:6333] --embeddingModelType=<type> Type of embedding model to use [default: Xenova/all-MiniLM-L6-v2] --help Show this help message Environment Variables QDRANT_API_KEY API key for authenticated Qdrant instances (optional) Examples $ mcp-qdrant --enableHttpTransport $ mcp-qdrant --mcpHttpPort=3005 --restHttpPort=3006 $ mcp-qdrant --qdrantUrl=http://qdrant.example.com:6333 $ mcp-qdrant --embeddingModelType=onnx-community/gte-small `; const cli = meow(usage, { importMeta: import.meta, flags: { enableHttpTransport: { type: "boolean", default: false, }, enableStdioTransport: { type: "boolean", default: true, }, enableRestServer: { type: "boolean", default: false, }, mcpHttpPort: { type: "number", default: 3001, }, restHttpPort: { type: "number", default: 3002, }, qdrantUrl: { type: "string", default: "http://localhost:6333", }, embeddingModelType: { type: "string", default: "Xenova/all-MiniLM-L6-v2", }, }, }); return cli.flags satisfies ServerCliArgs; }

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/gergelyszerovay/mcp-server-qdrant-retrive'

If you have feedback or need assistance with the MCP directory API, please join our Discord server