io.github.avaazquezz/mcp-qdrant
Related Servers
Alternatives to io.github.avaazquezz/mcp-qdrant
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with a Qdrant vector database, including embedding generation and vector search operations.MIT
- AlicenseAqualityCmaintenanceExposes hybrid retrieval (dense embeddings + BM25 + RRF) and document operations (search, fetch, rerank) as MCP tools, using Qdrant and OpenAI embeddings for local or server mode.3MIT
- FlicenseNot gradedqualityDmaintenanceEnables interaction with Qdrant vector database for storing, searching, and managing vectors with automatic text embedding.1-

HyperspaceDB MCP Serverofficial
AlicenseBqualityCmaintenanceEnables LLMs to manage vector collections, run hybrid semantic and Wasserstein searches, traverse knowledge graphs, and perform geometric and cognitive diagnostics through MCP tools. It also provides administration for caches, quantization, reconsolidation, and collection lifecycle operations.3538 npmMIT- FlicenseNot gradedqualityNot gradedmaintenanceEnables AI assistants to perform semantic search, manage vectors, and interact with Pinecone vector databases through standardized MCP tools. Supports querying, upserting, deleting vectors and monitoring database statistics for knowledge base operations.4 npm-
- FlicenseNot gradedqualityDmaintenanceEnables RAG (Retrieval-Augmented Generation) with tools for vector search, document access, and OpenAI integration, plus MySQL storage and file system operations via MCP.-
TDQS
Scored across 13 tools
Most tools have clearly distinct scopes: collection lifecycle, point CRUD, querying, and health checks are separated cleanly. A few boundaries are slightly fuzzy, especially qdrant_query with order_by/sample versus qdrant_points_scroll with order_by, and qdrant_points_get by id versus querying by point id, but the descriptions make the intended use reasonably clear.
All tools follow a predictable qdrant_* snake_case convention with resource-oriented names such as qdrant_collection_create and qdrant_points_upsert. The few non-resource names like qdrant_query and qdrant_health_check still fit the same overall pattern.
The set has 13 tools, which is well-scoped for a Qdrant MCP server. Each tool covers a distinct collection, point, query, or health operation without obvious redundancy.
The surface covers the core Qdrant lifecycle: collection list/create/update/delete/exists/info, point get/delete/upsert/scroll/count, query, and health. Minor gaps remain around payload index management, aliases/snapshots, and partial payload updates, but core workflows are covered.