{"categories":[{"label":"Database","url":"https://skillfed.io/packages/category/database/2"}],"enrichment":{"capability":"Exposes Qdrant vector search as a Model Context Protocol server, allowing LLM applications to store and retrieve semantic memories from a vector database via standardized MCP tools.","skillfed_tags":["vector-search","llm-integration","mcp-protocol"],"use_cases":["Integrate Claude Desktop with Qdrant to give AI assistants persistent semantic memory across conversations","Build AI-powered applications that store and retrieve domain-specific context from vector embeddings","Deploy a containerized MCP server to provide remote LLM clients with vector search capabilities","Create custom AI workflows where multiple agents share a centralized semantic knowledge base in Qdrant"],"what_it_does":"mcp-server-qdrant bridges LLM applications and Qdrant vector search by implementing the Model Context Protocol (MCP) standard. It runs as a standalone server that exposes two core tools: qdrant-store (to persist text and metadata into Qdrant collections) and qdrant-find (to retrieve semantically similar results via vector search). The server uses fastembed for embedding generation and can connect to either a remote Qdrant instance or a local database.\n\nConfiguration is entirely environment-variable driven, supporting multiple transport protocols (stdio, SSE, streamable-HTTP) and deployment modes including Docker and uvx. It integrates with Claude Desktop and other MCP clients, enabling AI applications to maintain and query a persistent semantic memory layer without direct database access.","worth_installing":"Yes, if you need MCP-compatible vector search integration. The package is straightforward to deploy, has low install friction, carries a permissive license, and has no known vulnerabilities. The aging maintenance status (247 days since last release) is a minor caution but not a blocker for stable, read-write workloads. Verify active support if you plan to rely on ongoing updates."},"id":"mcp-server-qdrant","links":{"html":"https://skillfed.io/packages/mcp-server-qdrant","md":"https://skillfed.io/packages/mcp-server-qdrant.md","pypi":"https://pypi.org/project/mcp-server-qdrant/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-12-10","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"mcp-server-qdrant","python_support":"supports_current","summary":"MCP server for retrieving context from a Qdrant vector database"},"popularity":{"monthly_downloads":1334257,"position":4038,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.8.1"}